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cs.AI2024
ReasonAgain: Using Extractable Symbolic Programs to Evaluate Mathematical Reasoning
Xiaodong Yu, Ben Zhou, Hao Cheng +1
Existing math datasets evaluate the reasoning abilities of large language models (LLMs) by either using the final answer or the intermediate reasoning steps derived from static exa…
cs.CL2024
Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering
Qingru Zhang, Xiaodong Yu, Chandan Singh +6
Large language models (LLMs) have demonstrated remarkable performance across various real-world tasks. However, they often struggle to fully comprehend and effectively utilize thei…