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<!DOCTYPE HTML>
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<h1 style="padding: -10 0 0 0">INK Lab @ USC/ISI: <span style="text-transform:none;">Intelligence and Knowledge Discovery</span></h1>
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<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2212.09721" target="_blank">
<b>KNIFE</b>: Knowledge Distillation with Free-Text Rationales
</a>
<br>Aaron Chan, Zhiyuan Zeng, Wyatt Lake, Brihi Joshi, Hanjie Chen, Xiang Ren<br />
on ArXiv<br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="KNIFE: Knowledge Distillation with Free-Text Rationales"
venue="ArXiv" year="preprint" /> </p>
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<br>
<br>
<h4>2025</h4>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2406.16672" target="_blank">
CAVE: Controllable Authorship Verification Explanations</a>
<br>Sahana Ramnath, Kartik Pandey, Elizabeth Boschee, Xiang Ren<br />
<b class="conf_name">NAACL</b> 2025 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="CAVE: Controllable Authorship Verification Explanations"
venue="NAACL" year="2025" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2412.20760" target="_blank">
Attributing Culture-Conditioned Generations to Pretraining Corpora</a>
<br>Huihan Li, Arnav Goel, Keyu He, Xiang Ren<br />
<b class="conf_name">ICLR</b> 2025 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Attributing Culture-Conditioned Generations to Pretraining Corpora"
venue="ICLR" year="2025" /> </p>
</li>
<h4>2024</h4>
<li>
<p>
<a class="pub_title" href="https://aclanthology.org/2024.acl-long.406/" target="_blank">
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs</a>
<br>Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren<br />
<b class="conf_name">ACL</b> 2024 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs"
venue="ACL" year="2024" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://aclanthology.org/2024.findings-acl.618/" target="_blank">
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification</a>
<br>Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren<br />
<b class="conf_name">ACL Findings</b> 2024 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification"
venue="ACL Findings" year="2024" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://openreview.net/forum?id=DbsLm2KAqP" target="_blank">
CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting</a>
<br>Huihan Li, Liwei Jiang, Nouha Dziri, Xiang Ren, Yejin Choi<br />
<b class="conf_name">COLM</b> 2024 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting"
venue="COLM" year="2024" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://openreview.net/forum?id=oRcYFm8vyB" target="_blank">
Logits of API-Protected LLMs Leak Proprietary Information</a>
<br>Matthew Finlayson, Xiang Ren, Swabha Swayamdipta<br />
<b class="conf_name">COLM</b> 2024 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Logits of API-Protected LLMs Leak Proprietary Information"
venue="COLM" year="2024" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://aclanthology.org/2024.emnlp-main.140/" target="_blank">
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search</a>
<br>Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren<br />
<b class="conf_name">EMNLP</b> 2024 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search"
venue="EMNLP" year="2024" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://aclanthology.org/2024.emnlp-main.724/" target="_blank">
OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants</a>
<br>Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn, Laura Petry, Olga Koumoundouros, Jayne Bottarini, Peichen Liu, Eric Rice, Swabha Swayamdipta<br />
<b class="conf_name">EMNLP</b> 2024 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants"
venue="EMNLP" year="2024" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://aclanthology.org/2024.emnlp-main.974/" target="_blank">
Symbolic Working Memory Enhances Language Models for Complex Rule Application</a>
<br>Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren<br />
<b class="conf_name">EMNLP</b> 2024 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Symbolic Working Memory Enhances Language Models for Complex Rule Application"
venue="EMNLP" year="2024" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://openreview.net/forum?id=t8eO0CiZJV" target="_blank">
Tailoring Self-Rationalizers with Multi-Reward Distillation</a>
<br>Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren<br />
<b class="conf_name">ICLR</b> 2024 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Tailoring Self-Rationalizers with Multi-Reward Distillation"
venue="ICLR" year="2024" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://openreview.net/forum?id=dFcXJgnrGB" target="_blank">
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning</a>
<br>Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi<br />
<b class="conf_name">ICLR</b> 2024 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning"
venue="ICLR" year="2024" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://openreview.net/pdf?id=bzNwexOPWm" target="_blank">
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement</a>
<br>Xisen Jin, Xiang Ren<br />
<b class="conf_name">ICML</b> 2024 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement"
venue="ICML" year="2024" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://openreview.net/forum?id=j6PTT6NB2O" target="_blank">
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack</a>
<br>Xiaoyue Xu, Qinyuan Ye, Xiang Ren<br />
<b class="conf_name">NeurIPS</b> 2024 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack"
venue="NeurIPS" year="2024" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://openreview.net/forum?id=BROvXhmzYK" target="_blank">
SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures</a>
<br>Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Steven Zheng<br />
<b class="conf_name">NeurIPS</b> 2024 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures"
venue="NeurIPS" year="2024" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://aclanthology.org/2024.naacl-long.337/" target="_blank">
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection</a>
<br>Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin<br />
<b class="conf_name">NAACL</b> 2024 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection"
venue="NAACL" year="2024" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://aclanthology.org/2024.findings-naacl.233/ target="_blank">
Instruction-following Evaluation through Verbalizer Manipulation</a>
<br>Shiyang Li, Jun Yan, Hai Wang, Zheng Tang, Xiang Ren, Vijay Srinivasan, Hongxia Jin<br />
<b class="conf_name">NAACL Findings</b> 2024 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Instruction-following Evaluation through Verbalizer Manipulation"
venue="NAACL Findings" year="2024" /> </p>
</li>
<h4>2023</h4>
<li>
<p>
<a class="pub_title" href="https://doi.org/10.1177/00031224231166955" target="_blank">
How New Ideas Diffuse in Science</a>
<br>Mengjie Cheng, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith, Daniel McFarland<br />
<b class="conf_name">American Sociological Review</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="How New Ideas Diffuse in Science"
venue="American Sociological Review" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="" target="_blank">
Self-Consistent Chain-of-Thought Distillation</a>
<br>Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Self-Consistent Chain-of-Thought Distillation"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://openreview.net/forum?id=h-aJ39Z3Tc" target="_blank">
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales</a>
<br>Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Measuring the Human Utility of Free-Text Rationales in Human-AI Collaboration"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://openreview.net/forum?id=7tO_uDjYyv" target="_blank">
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning</a>
<br>Qinyuan Ye, Iz Beltagy, Matthew E. Peters, Xiang Ren, Hannaneh Hajishirzi<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="" target="_blank">
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step</a>
<br>Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang and Yejin Choi<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Symbolic Chain-of-Thought Distillation: Small Models Can Also Think Step-by-Step"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2211.15718" target="_blank">
<b>CoNAL</b>: Anticipating Outliers with Large Language Models</a>
<br>Albert Xu, Xiang Ren, Robin Jia<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="CoNAL: Anticipating Outliers with Large Language Models"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2212.10555" target="_blank">
<b>PairReranker</b>: Pairwise Learning to Rank for Decoding Language Models</a>
<br>Dongfu Jiang, Xiang Ren, Bill Yuchen Lin<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="PairReranker: Pairwise Learning to Rank for Decoding Language Models"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2212.09282" target="_blank">
<b>APOLLO</b>: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
</a>
<br>Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.12700" target="_blank">
<b>REV</b>: Information-Theoretic Evaluation of Free-Text Rationales</a>
<br>Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="REV: Information-Theoretic Evaluation of Free-Text Rationales"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.12700" target="_blank">
Textual Backdoor Attacks with Iterative Trigger Injection</a>
<br>Jun Yan, Vansh Gupta, Xiang Ren<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/INK-USC/data-poisoning"
target="_blank">Github</a> -->
<meta title="Textual Backdoor Attacks with Iterative Trigger Injection"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.11152" target="_blank">
Cross-lingual Lifelong Learning</a>
<br>Meryem M'hamdi, Xiang Ren, Jonathan May<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Cross-lingual Lifelong Learning"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2212.10060" target="_blank">
An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons</a>
<br>Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu<br />
<b class="conf_name">ACL</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons"
venue="ACL" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://aclanthology.org/2023.emnlp-main.424/" target="_blank">
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning</a>
<br>Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi<br />
<b class="conf_name">EMNLP</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning"
venue="EMNLP" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2212.09849" target="_blank">
Dataless Knowledge Fusion by Merging Weights of Language Models</a>
<br>Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng<br />
<b class="conf_name">ICLR</b> 2023<br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Dataless Knowledge Fusion by Merging Weights of Language Models"
venue="ICLR" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2211.01562" target="_blank">
<b>PINTO</b>: Faithful Language Reasoning Using Prompt-Generated Rationales</a>
<br>Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren<br />
<b class="conf_name">ICLR</b> 2023<br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales"
venue="ICLR" year="2023" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2211.01562" target="_blank">
On Grounded Planning for Embodied Tasks with Language Models</a>
<br>Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren<br />
<b class="conf_name">AAAI</b> 2023 <br>
<!-- <a class="icon code label label-info" href="https://github.com/wangpf3/imagine-and-verbalize" target="_blank">Github</a> -->
<meta title="On Grounded Planning for Embodied Tasks with Language Models"
venue="AAAI" year="2023" />
</p>
</li>
</div>
<br>
<br>
<div class="content">
<br>
<br>
<h4>2022</h4>
<ul>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2204.07937" target="_blank">
Unsupervised Cross-Task Generalization via Retrieval Augmentation</a>
<br>Bill Yuchen Lin, Kangmin Tan, Chris Miller, Beiwen Tian, Xiang Ren<br />
<b class="conf_name">NeurIPS</b> 2022<br>
<a class="button pub code label label-info" href="https://inklab.usc.edu/ReCross/"
target="_blank">Project Website</a>
<meta title="Unsupervised Cross-Task Generalization via Retrieval Augmentation"
venue="NeurIPS" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.10674" target="_blank">
<i>NS3</i>: Neuro-Symbolic Semantic Code Search</a>
<br>Shushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis, Christophe Hauser, Luis Antonio Garcia, Xiang Ren<br />
<b class="conf_name">NeurIPS</b> 2022<br>
(Also a <font color="red"><b>Spotlight</b></font> at ICLR 2022 Deep Learning for Code Workshop)<br>
<!-- <a class="button pub code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="NS3: Neuro-Symbolic Semantic Code Search"
venue="NeurIPS" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2112.08802" target="_blank">
<b>UniREx</b>: A Unified Learning Framework for Language Model Rationale Extraction</a>
<br>Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz
<br /> <b class="conf_name">ICML</b> 2022 <br>
(Also at ICLR Workshop on Socially Responsible Machine Learning & ACL Workshop on BigScience) <br>
<a class="button pub code label label-info" href=""
target="_blank">Github</a> (coming soon)
<meta title="UniREx: A Unified Learning Framework for Language Model Rationale Extraction"
venue="ICML" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.12701" target="_blank">
Eliciting Transferability in Multi-task Learning with Task-level Mixture-of-Experts</a>
<br>Qinyuan Ye, Juan Zha, Xiang Ren<br />
<b class="conf_name">Findings of EMNLP</b> 2022 <br>
<!-- <a class="icon code label label-info" href="https://github.com/INK-USC/CrossTaskMoE"
target="_blank">Github</a> -->
<meta title="Eliciting Transferability in Multi-task Learning with Task-level Mixture-of-Experts"
venue="EMNLP" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.12598" target="_blank">
<b>RobustLR</b>: Evaluating Robustness to Logical Perturbation in Deductive Reasoning</a>
<br>Soumya Sanyal, Zeyi Liao, Xiang Ren<br />
<b class="conf_name">EMNLP</b> 2022 <br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/RobustLR"
target="_blank">Github</a>
<meta title="ERobustLR: Evaluating Robustness to Logical Perturbation in Deductive Reasoning"
venue="EMNLP" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.12542" target="_blank">
<b>ER-Test</b>: Evaluating Explanation Regularization Methods for NLP Models</a>
<br>Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren<br />
<b class="conf_name">Findings of EMNLP</b> 2022 <br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/er-test"
target="_blank">Github</a>
<meta title="ER-Test: Evaluating Explanation Regularization Methods for NLP Models"
venue="EMNLP" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2211.09267" target="_blank">
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality</a>
<br>Pei Zhou, Hyundong J. Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren<br />
<b class="conf_name">EMNLP</b> 2022 <br>
<a class="button pub code label label-info" href="https://inklab.usc.edu/Reflect/"
target="_blank">Project</a>
<meta title="Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality"
venue="EMNLP" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.12514" target="_blank">
Machine Translation Robustness to Natural Asemantic Variation</a>
<br>Jacob Bremerman, Xiang Ren, Jonathan May<br />
<b class="conf_name">EMNLP</b> 2022 <br>
<!-- <a class="icon code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Machine Translation Robustness to Natural Asemantic Variation"
venue="EMNLP" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2110.08534" target="_blank">
<i>Lifelong Pretraining</i>: Continually Adapting Language Models to Emerging Corpora</a>
<br>Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew Arnold, Xiang Ren
<br /> <b class="conf_name">NAACL</b> 2022 <br>
(also at ACL 2022 Workshop BigScience) <br>
<meta title="Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora"
venue="NAACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2110.08536" target="_blank">
<b>Sparse Distillation</b>: Speeding Up Text Classification by Using Bigger Models</a>
<br>Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech
<br /> <b class="conf_name">NAACL</b> 2022 <br>
<!-- <a class="button pub code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a> -->
<meta title="Sparse Distillation: Speeding Up Text Classification by Using Bigger Models"
venue="NAACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2104.08815" target="_blank">
<b>FedNLP</b>: A Research Platform for Federated Learning in Natural Language Processing</a>
<br>Bill Yuchen Lin, Chaoyang He, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr
<br /> <b class="conf_name">Findings of NAACL</b> 2022 <br>
<a class="button pub code label label-info" href="https://github.com/FedML-AI/FedNLP"
target="_blank">Github</a>
<meta title="FedNLP: A Research Platform for Federated Learning in Natural Language Processing"
venue="NAACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2110.08555" target="_blank">
On the Robustness of Reading Comprehension Models to Entity Renaming</a>
<br>Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren<br />
<b class="conf_name">NAACL</b> 2022<br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/entity-robustness"
target="_blank">Github</a>
<meta title="On the Robustness of Reading Comprehension Models to Entity Renaming"
venue="NAACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2110.08555" target="_blank">
<b>NewsEdits</b>: A Dataset of News Article Revision Histories and a Novel Document-Level Reasoning Challenge</a>
<br>Alexander Spangher, Xiang Ren, Jonathan May, Nanyun Peng<br />
<b class="conf_name">NAACL</b> 2022<br>
<font color="red">
<b>Outstanding Paper Award</b></font>
<a class="button pub code label label-info" href="https://github.com/isi-nlp/NewsEdits" target="_blank">Github</a>
<meta title="NewsEdits: A Dataset of News Article Revision Histories and a Novel Document-Level Reasoning Challenge"
venue="NAACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2203.10261" target="_blank">
<b>FaiRR</b>: Faithful and Robust Deductive Reasoning over Natural Language
</a>
<br>Soumya Sanyal, Harman Singh, Xiang Ren<br />
<b class="conf_name">ACL</b> 2022 <br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/FaiRR"
target="_blank">Github</a>
<meta title="CausalR: Causal Reasoning over Natural Language Rulebases"
venue="ACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2110.08484" target="_blank">
<i>A Good Prompt Is Worth Millions of Parameters?</i>: Low-resource Prompt-based Learning for Vision-Language Models</a>
<br>Woojeong Jin, Yu Cheng, Yelong Shen, Weizhu Chen, Xiang Ren<br />
<b class="conf_name">ACL</b> 2022 <br>
<a class="button pub code label label-info" href="https://github.com/woojeongjin/FewVLM"
target="_blank">Github</a>
<meta title="A Good Prompt Is Worth Millions of Parameters? Low-resource Prompt-based Learning for Vision-Language Models"
venue="ACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2205.02014" target="_blank">
On Continual Model Refinement in Out-of-Distribution Data Streams</a>
<br>Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Scott Yih<br />
<b class="conf_name">ACL</b> 2022 <br>
<a class="button pub code label label-info" href="https://cmr-nlp.github.io/"
target="_blank">Project website</a>
<meta title="On Continual Model Refinement in Out-of-Distribution Data Streams"
venue="ACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2110.08454" target="_blank">
<i>Good Examples Make A Faster Learner</i>: Simple Demonstration-based Learning for Low-resource NER</a>
<br>Dong-Ho Lee, Mahak Agarwal, Akshen Kadakia, Jay Pujara, Xiang Ren<br />
<b class="conf_name">ACL</b> 2022<br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/fewNER"
target="_blank">Github</a>
<meta title="Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER"
venue="ACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2110.08501" target="_blank">
<b>Think Before You Speak</b>: Using Self-talk to Generate Implicit Commonsense Knowledge for Response Generation</a>
<br>Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur<br />
<b class="conf_name">ACL</b> 2022<br>
<a class="button pub code label label-info" href=""
target="_blank">Github</a> (coming soon)
<meta title="Think Before You Speak: Using Self-talk to Generate Implicit Commonsense Knowledge for Response Generation"
venue="ACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="" target="_blank">
<b>Leveraging Visual Knowledge in Language Tasks</b>: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer</a>
<br>Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren<br />
<b class="conf_name">ACL</b> 2022<br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/CMKT"
target="_blank">Github</a>
<meta title="Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer"
venue="ACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2110.04330" target="_blank">
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering</a>
<br>Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng<br />
<b class="conf_name">ACL</b> 2022 <br>
<!-- <a class="button pub code label label-info" href="https://github.com/FedML-AI/FedNLP" target="_blank">Github</a> -->
<meta title="KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering"
venue="ACL" year="2022" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2112.06318" target="_blank">
Contextualized Scene Imagination for Generative Commonsense Reasoning</a>
<br>Peifeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren<br />
<b class="conf_name">ICLR</b> 2022 <br>
<a class="button pub code label label-info" href="https://github.com/wangpf3/imagine-and-verbalize"
target="_blank">Github</a>
<meta title="Contextualized Scene Imagination for Generative Commonsense Reasoning"
venue="ICLR" year="2022" />
</p>
</li>
<h4>2021</h4>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2103.10415" target="_blank">
Refining Language Models with Compositional Explanations</a>
<br>Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren
<br />
Conference on Neural Information Processing Systems (<b class='conf_name'>NeurIPS</b>) 2021 <br>
<b style="color: red; font-weight: bold;"> spotlight presentation </b>
<br>
(previously at RAI @ICLR 2021)
<br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/expl-refinement"
target="_blank">Github</a>
<br>
<meta title="Refining Neural Networks with Compositional Explanations"
venue="NeurIPS" year="2021" />
</p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2103.10415" target="_blank">
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning</a>
<br>Aaron Chan, Boyuan Long, Jiashu Xu, Soumya Sanyal, Tanishq Gupta, Xiang Ren
<br />
Conference on Neural Information Processing Systems (<b class="conf_Name">NeurIPS</b>) 2021
<br>
(previously at <b class='conf_name'>XAI@ICML</b>)
<br>
<meta title="SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning"
venue="NeurIPS" year="2021" />
</p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2006.15294" target="_blank">Gradient-based Editing of Memory Examples for Online Task-free Continual Learning</a>
<br>Xisen Jin, Junyi Du, Arka Sadhu, Xiang Ren
<br> Conference on Neural Information Processing Systems (<b class="conf_name">NeurIPS</b>) 2021
<br />
Previously a <a
href="https://lifelongml.github.io/schedule/" target="_blank"><b>contributed talk</b></a> to <b class='conf_name'>LifelongML@ICML</b>)
2020) <br />
<a class="button pub code label label-info" href="https://github.com/INK-USC/GMED"
target="_blank">Github</a>
<!-- <a class="button pub code label label-info" href="https://github.com/INK-USC/GMED"
target="_blank">Code</a> -->
<meta title="Gradient Based Memory Editing for Task-Free Continual Learning"
venue="NeurIPS" year="2021" /></p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2104.08835" target="_blank">
<b>CrossFit</b>: A Few-shot Learning Challenge for Cross-task Generalization in NLP</a>
<br>Qinyuan Ye, Yuchen Lin, Xiang Ren
<br />
<b class="conf_name">EMNLP</b> 2021 <br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/CrossFit/"
target="_blank">Github</a>
<a class="button pub misc label label-info" href="https://twitter.com/qinyuan_ye/status/1383686554816716806?s=20"
target="_blank">Tweet</a>
<meta title="CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2005.00782" target="_blank">
<b>RICA</b>: Evaluating Robust Inference Capabilities Based on Commonsense Axioms</a>
<br>Pei Zhou, Rahul Khanna, Bill Yuchen Lin, Daniel Ho, Jay Pujara, Xiang Ren
<br />
<b class="conf_name">EMNLP</b> 2021 <br>
<a class="button pub project label label-info" href="https://inklab.usc.edu/RICA/"
target="_blank">Project</a> <a
class="button pub misc label label-info" href="https://inklab.usc.edu/RICA/#exp"
target="_blank">Leaderboard</a> <a class="button pub misc label label-info"
href="https://inklab.usc.edu/RICA/#example" target="_blank">Data Explorer</a>
<a class="button pub code label label-info" href="https://github.com/shaoxia57/common_sense_embedding_analysis"
target="_blank">Github</a>
<meta title="RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms"
venue="EMNLP" year="2021" />
</p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2104.08808" target="_blank">
<i>Learn Continually, Generalize Rapidly</i>: Lifelong Knowledge Accumulation for Few-shot Learning</a>
<br>Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren
<br />
<b class="conf_name">Findings of EMNLP</b> 2021 <br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/CLIF"
target="_blank">Github</a>
<a class="button pub misc label label-info" href="https://twitter.com/XisenJ/status/1383675922553794568?s=20"
target="_blank">Tweet</a>
<meta title="Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2108.13654" target="_blank">
Discretized Integrated Gradients for Explaining Language Models</a>
<br>Soumya Sanyal, Xiang Ren
<br />
<b class="conf_name">EMNLP</b> 2021
<br>
<a class="button pub code label label-info" href="https://github.com/INK-USC/DIG"
target="_blank">Github</a>
<br>
<meta title="Discretized Integrated Gradients for Explaining Language Models"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2104.08840" target="_blank">
On the Influence of Masking Policies in Intermediate Pre-training</a>
<br>Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
<br />
<b class="conf_name">EMNLP</b> 2021
<meta title="On the Influence of Masking Policies in Intermediate Pre-training"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2103.11320" target="_blank">
<i>Lawyers are Dishonest? </i>: Quantifying Representational Harms in Commonsense Knowledge Resources</a>
<br>Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan
<br />
<b class="conf_name">EMNLP</b> 2021
<meta title="Lawyers are Dishonest?: Quantifying Representational Harms in Commonsense Knowledge Resources"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2104.09574" target="_blank">
Probing Commonsense Explanation in Dialogue Response Generation</a>
<br>Pei Zhou, Pegah Jandaghi, Hyundong Cho, Bill Yuchen Lin, Jay Pujara, Xiang Ren
<br />
<b class="conf_name">Findings of EMNLP</b> 2021
<br>
<a class="button pub project label label-info" href="https://sites.google.com/usc.edu/cedar"
target="_blank">Project</a>
<meta title="Probing Commonsense Explanation in Dialogue Response Generation"
venue="EMNLP" year="2021" /> </p>
</li>
<li>
<p>
<a class="pub_title" href="https://arxiv.org/abs/2012.15283" target="_blank">
<b>ECONET</b>: Effective Continual Pretraining of Language Models for Event Temporal Reasoning</a>
<br>Rujun Han, Xiang Ren, Nanyun Peng
<br />
<b class="conf_name">EMNLP</b> 2021