2 papers
cs.LG2025
Reasoning Large Language Model Errors Arise from Hallucinating Critical Problem Features
Alex Heyman, Joel Zylberberg
Large language models have recently made great strides in reasoning task performance through chain-of-thought (CoT) strategies trained via reinforcement learning; however, these "r…
cs.LG2025
Evaluating the Systematic Reasoning Abilities of Large Language Models through Graph Coloring
Alex Heyman, Joel Zylberberg
Contemporary large language models are powerful problem-solving tools, but they exhibit weaknesses in their reasoning abilities which ongoing research seeks to mitigate. We investi…