:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhuang, Ziqing, Zhang, Linhai, Si, Jiasheng, Zhou, Deyu, He, Yulan
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2604.17399
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Test-Time Personalization: A Diagnostic Framework and Probabilistic Fix for Scaling Failures
by: Zhang, Linhai, et al.
Published: (2026)

RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering
by: Liang, Sichu, et al.
Published: (2025)

Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models
by: Zhang, Yanyue, et al.
Published: (2025)

Fine-grainedly Synthesize Streaming Data Based On Large Language Models With Graph Structure Understanding For Data Sparsity
by: Zhang, Xin, et al.
Published: (2024)

DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference
by: Wu, Jialong, et al.
Published: (2024)

STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models
by: Zhang, Linhai, et al.
Published: (2024)

Meta-R1: Empowering Large Reasoning Models with Metacognition
by: Dong, Haonan, et al.
Published: (2025)

MA$^{2}$P: A Meta-Cognitive Autonomous Intelligent Agents Framework for Complex Persuasion
by: Zhang, Dingyi, et al.
Published: (2026)

CoT2-Meta: Budgeted Metacognitive Control for Test-Time Reasoning
by: Ma, Siyuan, et al.
Published: (2026)

On Information Self-Locking in Reinforcement Learning for Active Reasoning of LLM agents
by: Zou, Deyu, et al.
Published: (2026)

Cog-Rethinker: Hierarchical Metacognitive Reinforcement Learning for LLM Reasoning
by: Sun, Zexu, et al.
Published: (2025)

Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors
by: Didolkar, Aniket, et al.
Published: (2025)

Metacognition as Reward: Reinforcing LLM Reasoning via Knowledge and Regulation Signals
by: Chen, Sirui, et al.
Published: (2026)

Searching Meta Reasoning Skeleton to Guide LLM Reasoning
by: Zhang, Ziying, et al.
Published: (2025)

Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization
by: Zhang, Yanyue, et al.
Published: (2024)

WebWalker: Benchmarking LLMs in Web Traversal
by: Wu, Jialong, et al.
Published: (2025)

Mirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning
by: Yan, Hanqi, et al.
Published: (2024)

Adapting Like Humans: A Metacognitive Agent with Test-time Reasoning
by: Li, Yang, et al.
Published: (2025)

Respecting Self-Uncertainty in On-Policy Self-Distillation for Efficient LLM Reasoning
by: Ke, Junlong, et al.
Published: (2026)

Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation
by: Zhang, Linhai, et al.
Published: (2025)

PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation
by: Zhang, Linhai, et al.
Published: (2025)

Agents Require Metacognitive and Strategic Reasoning to Succeed in the Coming Labor Markets
by: Zhang, Simpson, et al.
Published: (2025)

Bridging Social Psychology and LLM Reasoning: Conflict-Aware Meta-Review Generation via Cognitive Alignment
by: Chen, Wei, et al.
Published: (2025)

Entropy-Aware Speculative Decoding Toward Improved LLM Reasoning
by: Su, Tiancheng, et al.
Published: (2025)

Language Models Coupled with Metacognition Can Outperform Reasoning Models
by: Khandelwal, Vedant, et al.
Published: (2025)

Persuasion Should be Double-Blind: A Multi-Domain Dialogue Dataset With Faithfulness Based on Causal Theory of Mind
by: Zhang, Dingyi, et al.
Published: (2025)

Know What You Know: Metacognitive Entropy Calibration for Verifiable RL Reasoning
by: Zhao, Qiannian, et al.
Published: (2026)

What Really Improves Mathematical Reasoning: Structured Reasoning Signals Beyond Pure Code
by: Zhao, Yuze, et al.
Published: (2026)

Beyond the Trade-off: Self-Supervised Reinforcement Learning for Reasoning Models' Instruction Following
by: Ren, Qingyu, et al.
Published: (2025)

Truly Self-Improving Agents Require Intrinsic Metacognitive Learning
by: Liu, Tennison, et al.
Published: (2025)

MetaCogAgent: A Metacognitive Multi-Agent LLM Framework with Self-Aware Task Delegation
by: Wang, Chenyu, et al.
Published: (2026)

Evaluating LLM Reasoning Beyond Correctness and CoT
by: Abbasloo, Soheil
Published: (2025)

MCPO: Mastery-Consolidated Policy Optimization for Large Reasoning Models
by: Liao, Zhaokang, et al.
Published: (2026)

Think$^{2}$: Grounded Metacognitive Reasoning in Large Language Models
by: Elenjical, Abraham Paul, et al.
Published: (2026)

PRISM-MCTS: Learning from Reasoning Trajectories with Metacognitive Reflection
by: Cheng, Siyuan, et al.
Published: (2026)

Meta-TTRL: A Metacognitive Framework for Self-Improving Test-Time Reinforcement Learning in Unified Multimodal Models
by: Tan, Lit Sin, et al.
Published: (2026)

Self-Evolving Curriculum for LLM Reasoning
by: Chen, Xiaoyin, et al.
Published: (2025)

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning
by: Hu, Yulan, et al.
Published: (2025)

On LLM-Based Scientific Inductive Reasoning Beyond Equations
by: Lin, Brian S., et al.
Published: (2025)

Boosting LLM Reasoning via Spontaneous Self-Correction
by: Zhao, Xutong, et al.
Published: (2025)