Cover Image

Confidence-Orchestrated Self-Evolution against Uncertain LLM Feedback

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wei, Bowen, Wang, Nan, Zhou, Yuqing, Pan, Jinhao, Zhu, Ziwei
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

KnowBias: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement
by: Pan, Jinhao, et al.
Published: (2026)

ClawSafety: "Safe" LLMs, Unsafe Agents
by: Wei, Bowen, et al.
Published: (2026)

Interpretable Classification via a Rule Network with Selective Logical Operators
by: Wei, Bowen, et al.
Published: (2024)

Advancing Interpretability in Text Classification through Prototype Learning
by: Wei, Bowen, et al.
Published: (2024)

Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning
by: Wu, Tianxing, et al.
Published: (2025)

Prompt Orchestration Markup Language
by: Zhang, Yuge, et al.
Published: (2025)

SELF: Self-Evolution with Language Feedback
by: Lu, Jianqiao, et al.
Published: (2023)

SAGE: Multi-Agent Self-Evolution for LLM Reasoning
by: Peng, Yulin, et al.
Published: (2026)

iGRPO: Self-Feedback-Driven LLM Reasoning
by: Hatamizadeh, Ali, et al.
Published: (2026)

Squeeze Evolve: Unified Multi-Model Orchestration for Verifier-Free Evolution
by: Maheswaran, Monishwaran, et al.
Published: (2026)

Agentic Meta-Orchestrator for Multi-task Copilots
by: Zhu, Xiaofeng, et al.
Published: (2025)

Orchestrating Intelligence: Confidence-Aware Routing for Efficient Multi-Agent Collaboration across Multi-Scale Models
by: Wang, Jingbo, et al.
Published: (2026)

Towards Scalable Lightweight GUI Agents via Multi-role Orchestration
by: Wang, Ziwei, et al.
Published: (2026)

Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents
by: Lin, Minhua, et al.
Published: (2026)

OMS: On-the-fly, Multi-Objective, Self-Reflective Ad Keyword Generation via LLM Agent
by: Chen, Bowen, et al.
Published: (2025)

COGNITION: From Evaluation to Defense against Multimodal LLM CAPTCHA Solvers
by: Wang, Junyu, et al.
Published: (2025)

MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents
by: Xie, Zhengwei, et al.
Published: (2026)

AI Annotation Orchestration: Evaluating LLM verifiers to Improve the Quality of LLM Annotations in Learning Analytics
by: Ahtisham, Bakhtawar, et al.
Published: (2025)

Recognize Your Orchestrator: An Entropy Dynamics Perspective for LLM Multi-Agent Systems
by: Zhu, Junze, et al.
Published: (2026)

Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator
by: Luo, Beier, et al.
Published: (2025)

A Logical-Rule Autoencoder for Interpretable Recommendations
by: Pan, Jinhao, et al.
Published: (2026)

Insights from Verification: Training a Verilog Generation LLM with Reinforcement Learning with Testbench Feedback
by: Wang, Ning, et al.
Published: (2025)

Rationale-Augmented Retrieval with Constrained LLM Re-Ranking for Task Discovery
by: Wei, Bowen
Published: (2025)

Z-Space: A Multi-Agent Tool Orchestration Framework for Enterprise-Grade LLM Automation
by: He, Qingsong, et al.
Published: (2025)

Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement
by: Xu, Wenda, et al.
Published: (2024)

Cost-Aware Model Orchestration for LLM-based Systems
by: Smirnova, Daria, et al.
Published: (2025)

Who is a Better Player: LLM against LLM
by: Zhou, Yingjie, et al.
Published: (2025)

SkillFlow: Flow-Driven Recursive Skill Evolution for Agentic Orchestration
by: Zhang, Mingda, et al.
Published: (2026)

DCO: Dynamic Cache Orchestration for LLM Accelerators through Predictive Management
by: Zhou, Zhongchun, et al.
Published: (2025)

Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
by: Dong, Guanting, et al.
Published: (2024)

Fact-Level Confidence Calibration and Self-Correction
by: Yuan, Yige, et al.
Published: (2024)

Mission Impossible: Feedback-Guided Dynamic Interactive Planning for Improving Reasoning on LLMs
by: Yan, Dong, et al.
Published: (2025)

Calibrating Verbalized Confidence with Self-Generated Distractors
by: Wang, Victor, et al.
Published: (2025)

Utility-Guided Agent Orchestration for Efficient LLM Tool Use
by: Liu, Boyan, et al.
Published: (2026)

Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution
by: Tian, Zailong, et al.
Published: (2025)

Confidence as a Reward: Transforming LLMs into Reward Models
by: Du, He, et al.
Published: (2025)

The Internet of Large Language Models: An Orchestration Framework for LLM Training and Knowledge Exchange Toward Artificial General Intelligence
by: Wei, Wilson, et al.
Published: (2025)

Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy Data
by: Pan, Weiran, et al.
Published: (2025)

Reflective Confidence: Correcting Reasoning Flaws via Online Self-Correction
by: Zeng, Qinglin, et al.
Published: (2025)

ReVEL: Multi-Turn Reflective LLM-Guided Heuristic Evolution via Structured Performance Feedback
by: Van Duc, Cuong, et al.
Published: (2026)