Image de couverture de livre

Guided Self-Evolving LLMs with Minimal Human Supervision

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yu, Wenhao, Liang, Zhenwen, Huang, Chengsong, Panaganti, Kishan, Fang, Tianqing, Mi, Haitao, Yu, Dong
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence Computation and Language Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Group Distributionally Robust Optimization-Driven Reinforcement Learning for LLM Reasoning
par: Panaganti, Kishan, et autres
Publié: (2026)

Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning
par: Liang, Zhenwen, et autres
Publié: (2025)

Learning to Build the Environment: Self-Evolving Reasoning RL via Verifiable Environment Synthesis
par: Shi, Yucheng, et autres
Publié: (2026)

R-Zero: Self-Evolving Reasoning LLM from Zero Data
par: Huang, Chengsong, et autres
Publié: (2025)

Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation
par: Zhou, Yujun, et autres
Publié: (2025)

Dual-Uncertainty Guided Policy Learning for Multimodal Reasoning
par: Liu, Rui, et autres
Publié: (2025)

Every Question Has Its Own Value: Reinforcement Learning with Explicit Human Values
par: Yu, Dian, et autres
Publié: (2025)

TTCS: Test-Time Curriculum Synthesis for Self-Evolving
par: Yang, Chengyi, et autres
Publié: (2026)

DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search
par: Yue, Murong, et autres
Publié: (2024)

CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
par: Dai, Runpeng, et autres
Publié: (2025)

VisPlay: Self-Evolving Vision-Language Models from Images
par: He, Yicheng, et autres
Publié: (2025)

Stable and Efficient Single-Rollout RL for Multimodal Reasoning
par: Liu, Rui, et autres
Publié: (2025)

Efficient Test-Time Scaling via Self-Calibration
par: Huang, Chengsong, et autres
Publié: (2025)

Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning
par: Huang, Chengsong, et autres
Publié: (2024)

WebRollback: Enhancing Web Agents with Explicit Rollback Mechanisms
par: Zhang, Zhisong, et autres
Publié: (2025)

Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding
par: Wang, Wenkai, et autres
Publié: (2026)

Self-Evolving Critique Abilities in Large Language Models
par: Tang, Zhengyang, et autres
Publié: (2025)

Minimal and Mechanistic Conditions for Behavioral Self-Awareness in LLMs
par: Bozoukov, Matthew, et autres
Publié: (2025)

KL-regularization Itself is Differentially Private in Bandits and RLHF
par: Zhang, Yizhou, et autres
Publié: (2025)

Self-Supervised Prompt Optimization
par: Xiang, Jinyu, et autres
Publié: (2025)

Improving LLM General Preference Alignment via Optimistic Online Mirror Descent
par: Zhang, Yuheng, et autres
Publié: (2025)

LiteSearch: Efficacious Tree Search for LLM
par: Wang, Ante, et autres
Publié: (2024)

POSS: Position Specialist Generates Better Draft for Speculative Decoding
par: Huang, Langlin, et autres
Publié: (2025)

Unlocking Reasoning Capabilities in LLMs via Reinforcement Learning Exploration
par: Deng, Wenhao, et autres
Publié: (2025)

Query-Guided Self-Supervised Summarization of Nursing Notes
par: Gao, Ya, et autres
Publié: (2024)

Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees
par: Ganguly, Sourav, et autres
Publié: (2025)

Save the Good Prefix: Precise Error Penalization via Process-Supervised RL to Enhance LLM Reasoning
par: Liu, Haolin, et autres
Publié: (2026)

MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills?
par: Che, Xinyu, et autres
Publié: (2026)

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
par: Yu, Erxin, et autres
Publié: (2025)

LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training
par: Wang, Yiming, et autres
Publié: (2025)

G-Zero: Self-Play for Open-Ended Generation from Zero Data
par: Huang, Chengsong, et autres
Publié: (2026)

RelayLLM: Efficient Reasoning via Collaborative Decoding
par: Huang, Chengsong, et autres
Publié: (2026)

Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration
par: Huang, Langlin, et autres
Publié: (2026)

Nudging: Inference-time Alignment of LLMs via Guided Decoding
par: Fei, Yu, et autres
Publié: (2024)

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
par: Zhang, Haozhen, et autres
Publié: (2026)

AgentEvolver: Towards Efficient Self-Evolving Agent System
par: Zhai, Yunpeng, et autres
Publié: (2025)

Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
par: Zhang, Yuheng, et autres
Publié: (2024)

Robust LLM Alignment via Distributionally Robust Direct Preference Optimization
par: Xu, Zaiyan, et autres
Publié: (2025)

Duel-Evolve: Reward-Free Test-Time Scaling via LLM Self-Preferences
par: Karlekar, Sweta, et autres
Publié: (2026)

EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective
par: Wang, Yuyao, et autres
Publié: (2026)