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cs.LG2026
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…
cs.LG2026
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…