add results of ListConRanker

[tutuDoki]

Checklist

• My model has a model sheet, report or similar
• My model has a reference implementation in mteb/models/ this can be as an API. Instruction on how to add a model can be found here
  • No, but there is an existing PR model: add ListConRanker model mteb#2742
• The results submitted is obtained using the reference implementation
• My model is available, either as a publicly accessible API or publicly on e.g., Huggingface
• I solemnly swear that for all results submitted I have not on the evaluation dataset including training splits. If I have I have disclosed it clearly.

[KennethEnevoldsen]

@Samoed is reviewing the implementation. So will let him review this one as well. Feel free to @ me if needed.

[github-actions]

Model Results Comparison

Reference models: intfloat/multilingual-e5-large, google/gemini-embedding-001
New models evaluated: ByteDance/ListConRanker
Tasks: CMedQAv1-reranking, CMedQAv2-reranking, MMarcoReranking, T2Reranking

Results for ByteDance/ListConRanker

task_name	ByteDance/ListConRanker	google/gemini-embedding-001	intfloat/multilingual-e5-large	Max result
CMedQAv1-reranking	0.91	nan	0.68	0.01
CMedQAv2-reranking	0.89	nan	0.67	0.01
MMarcoReranking	0.44	nan	0.29	0
T2Reranking	0.69	0.68	0.66	0.01
Average	0.73	0.68	0.57	0.01

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[tutuDoki]

@KennethEnevoldsen @Samoed Hi, since the implementation of ListConRanker has been merged, could you please review this PR? Thanks!