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  - sports
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  ---
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- Benchmark From Research
 
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- **SportsMetrics**: Blending Text and Numerical Data to Understand Informaion Fusion in LLMs
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- ***Paper has been accepted to ACL 2024, Bangkok, Thailand***
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - sports
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  ---
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+ # SportsMetrics
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+ Benchmark data to evaluate numerical reasoning and information fusion of LLMs.
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+ **SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs** \
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+ Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu \
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+ [*In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL'24), Bangkok, Thailand.*](https://2024.aclweb.org/program/main_conference_papers/) \
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+ [Arxiv Paper](https://arxiv.org/abs/2402.10979)
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+
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+
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+ ## Benchmark Tasks
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+
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+ The LLM is mandatorily required to generate responses in JSON format.
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+
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+ ### Reasoning Task
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+ - **reasoning-team_points_tracking**: Tracking team points in one match.
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+ - **reasoning-key_stats_tracking**: Tracking the key statistics for sports analytics.
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+
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+ ### Conflicts Task
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+ - **conflict-one_point_rule**: All scoring actions in the competition are set to be worth only one point.
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+ - **conflict-swap_{num}_players**: Swap {num} of spalyer between two teams.
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+
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+ ### Robustness Task
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+ - **robustness-duplicate_{prob}**: Replicate the non-scoring move with a probability of {prob}.
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+ - **robustness-remove_{prob}**: Remove the non-scoring move with a probability of {prob}.
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+ - **robustness-shuffled_pbp**: Shuffle the order of all moves in play-by-play descriptions while maintain the original order of timestamps.
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+ - **robustness-{num}_fiction_names**: Randomly select {num} of players from both teams and replace them with names from fiction movies.
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+
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+
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+ **Bibtex**
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+ ```
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+ @misc{hu2024sportsmetricsblendingtextnumerical,
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+ title={SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs},
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+ author={Yebowen Hu and Kaiqiang Song and Sangwoo Cho and Xiaoyang Wang and Hassan Foroosh and Dong Yu and Fei Liu},
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+ year={2024},
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+ eprint={2402.10979},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2402.10979},
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+ }