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cs.CL2026
Shared Lexical Task Representations Explain Behavioral Variability In LLMs
Zhuonan Yang, Jacob Xiaochen Li, Francisco Piedrahita Velez +5
One of the most common complaints about large language models (LLMs) is their prompt sensitivity -- that is, the fact that their ability to perform a task or provide a correct answ…
cs.CL2026
Do explanations generalize across large reasoning models?
Koyena Pal, David Bau, Chandan Singh
Large reasoning models (LRMs) produce a textual chain of thought (CoT) in the process of solving a problem, which serves as a potentially powerful tool to understand the problem by…