most citedA Survey on Federated Fine-tuning of Large Language Models

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cs.AI2026

LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models

Tiesunlong Shen, Rui Mao, Jin Wang +4

Aligning Large Language Models (LLMs) with human preferences is critical, yet traditional fine-tuning methods are computationally expensive and inflexible. While test-time alignmen…

cs.AI2025

Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving

Luoxin Chen, Jinming Gu, Liankai Huang +33

LLMs have demonstrated strong mathematical reasoning abilities by leveraging reinforcement learning with long chain-of-thought, yet they continue to struggle with theorem proving d…