most citedSeed-Prover 1.5: Mastering Undergraduate-Level Theorem Proving via Learning from Experience

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cs.CL20251 cited

Seed-Prover 1.5: Mastering Undergraduate-Level Theorem Proving via Learning from Experience

Jiangjie Chen, Wenxiang Chen, Jiacheng Du +19

Large language models have recently made significant progress to generate rigorous mathematical proofs. In contrast, utilizing LLMs for theorem proving in formal languages (such as…

cs.CL2025

ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models

Qianyu He, Siyu Yuan, Xuefeng Li +2

Large language models (LLMs) with chain-of-thought reasoning have demonstrated remarkable problem-solving capabilities, but controlling their computational effort remains a signifi…

cs.CL2025

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent

Hongli Yu, Tinghong Chen, Jiangtao Feng +8

Despite improvements by length extrapolation, efficient attention and memory modules, handling infinitely long documents with linear complexity without performance degradation duri…

cs.CL2025

KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation

Jiajun Shi, Jian Yang, Jiaheng Liu +26

Recent advancements in large language models (LLMs) underscore the need for more comprehensive evaluation methods to accurately assess their reasoning capabilities. Existing benchm…

cs.CL2025

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning

ByteDance Seed, :, Jiaze Chen +267

We introduce Seed1.5-Thinking, capable of reasoning through thinking before responding, resulting in improved performance on a wide range of benchmarks. Seed1.5-Thinking achieves 8…