Cover Image

Conversation for Non-verifiable Learning: Self-Evolving LLMs through Meta-Evaluation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sui, Yuan, Hooi, Bryan
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
by: Sui, Yuan, et al.
Published: (2024)

Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?
by: He, Yufei, et al.
Published: (2025)

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering
by: Sui, Yuan, et al.
Published: (2024)

Self-Evolved Reward Learning for LLMs
by: Huang, Chenghua, et al.
Published: (2024)

Think Carefully and Check Again! Meta-Generation Unlocking LLMs for Low-Resource Cross-Lingual Summarization
by: Li, Zhecheng, et al.
Published: (2024)

GrowLoop: Self-Evolving Conversation Evaluation Seeded by Human
by: Lin, Yihang, et al.
Published: (2026)

From Long to Short: LLMs Excel at Trimming Own Reasoning Chains
by: Han, Wei, et al.
Published: (2025)

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs
by: Wang, Hao, et al.
Published: (2025)

Learning to Self-Evolve
by: Chen, Xiaoyin, et al.
Published: (2026)

MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning
by: Qian, Hongjin, et al.
Published: (2025)

EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems
by: He, Yufei, et al.
Published: (2025)

ESC-Skills: Discovering and Self-Evolving Skills for Emotional Support Conversations
by: Zhu, Jie, et al.
Published: (2026)

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle
by: Wu, Rong, et al.
Published: (2025)

PathWise: Planning through World Model for Automated Heuristic Design via Self-Evolving LLMs
by: Gungordu, Oguzhan, et al.
Published: (2026)

NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
by: Liu, Maoqi, et al.
Published: (2025)

EvolvR: Self-Evolving Pairwise Reasoning for Story Evaluation to Enhance Generation
by: Wang, Xinda, et al.
Published: (2025)

ConfTuner: Training Large Language Models to Express Their Confidence Verbally
by: Li, Yibo, et al.
Published: (2025)

Qworld: Question-Specific Evaluation Criteria for LLMs
by: Gao, Shanghua, et al.
Published: (2026)

Guided Self-Evolving LLMs with Minimal Human Supervision
by: Yu, Wenhao, et al.
Published: (2025)

Primacy Effect of ChatGPT
by: Wang, Yiwei, et al.
Published: (2023)

HealthFlow: A Self-Evolving AI Agent with Meta Planning for Autonomous Healthcare Research
by: Zhu, Yinghao, et al.
Published: (2025)

Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space
by: Chen, Zhiliang, et al.
Published: (2025)

Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards
by: Shen, Yiran, et al.
Published: (2025)

SkillOS: Learning Skill Curation for Self-Evolving Agents
by: Ouyang, Siru, et al.
Published: (2026)

Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet
by: Zhao, James Xu, et al.
Published: (2025)

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
by: Zhang, Haozhen, et al.
Published: (2026)

Enhancing LLM Character-Level Manipulation via Divide and Conquer
by: Xiong, Zhen, et al.
Published: (2025)

AGENT-CQ: Automatic Generation and Evaluation of Clarifying Questions for Conversational Search with LLMs
by: Siro, Clemencia, et al.
Published: (2024)

Eliciting Better Multilingual Structured Reasoning from LLMs through Code
by: Li, Bryan, et al.
Published: (2024)

DelvePO: Direction-Guided Self-Evolving Framework for Flexible Prompt Optimization
by: Tao, Tao, et al.
Published: (2025)

Towards Goal-Oriented Agents for Evolving Problems Observed via Conversation
by: Free, Michael, et al.
Published: (2024)

MobEvolve: An Agentic Self-Evolving Heuristic System for Interpretable Human Mobility Generation
by: He, Junlin, et al.
Published: (2026)

Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
by: Yang, Cheng, et al.
Published: (2025)

Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation
by: Zhang, Xiaoying, et al.
Published: (2024)

Symbolic Learning Enables Self-Evolving Agents
by: Zhou, Wangchunshu, et al.
Published: (2024)

MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research
by: Chen, Hui, et al.
Published: (2025)

APEX: Autonomous Policy Exploration for Self-Evolving LLM Agents
by: Li, Yibo, et al.
Published: (2026)

Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding
by: Deng, Ailin, et al.
Published: (2024)

Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate
by: Chern, Steffi, et al.
Published: (2024)

Agent-Testing Agent: A Meta-Agent for Automated Testing and Evaluation of Conversational AI Agents
by: Komoravolu, Sameer, et al.
Published: (2025)