most citedCurriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning

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cs.AI2025

Complex LLM Planning via Automated Heuristics Discovery

Hongyi Ling, Shubham Parashar, Sambhav Khurana +6

We consider enhancing large language models (LLMs) for complex planning tasks. While existing methods allow LLMs to explore intermediate steps to make plans, they either depend on…

cs.AI2025

Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

Shubham Parashar, Blake Olson, Sambhav Khurana +4

We examine the reasoning and planning capabilities of large language models (LLMs) in solving complex tasks. Recent advances in inference-time techniques demonstrate the potential…