6 citations · 13 across the 12 of their papers we have counts for
3 papers · 1 filter
Are you Synthesizing or Recalling? Evaluating LLMs on Algorithmic Code Retrieval
Nickil Maveli, Antonio Vergari, Shay B. Cohen
Large language models (LLMs) have demonstrated strong performance in code generation, where success depends on both recalling relevant algorithmic knowledge and reasoning about how…
Used Car Salesbots? Honesty and Credulity of LLMs as Bargaining Agents under Partial Information
Antonio Valerio Miceli-Barone, Vaishak Belle, Shay B. Cohen
In this work we study agents in simulated bargaining scenarios, where a buyer and a seller communicate through a text channel and attempt to negotiate mutually beneficial trades, u…
Can LLMs Compress (and Decompress)? Evaluating Code Understanding and Execution via Invertibility
Nickil Maveli, Antonio Vergari, Shay B. Cohen
LLMs demonstrate strong performance on code benchmarks, yet consistent reasoning across forward and backward execution remains elusive. We present RoundTripCodeEval (RTCE), a bench…