Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Sui, Yuan, He, Yufei, Cao, Tri, Han, Simeng, Chen, Yulin, Hooi, Bryan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?
by: He, Yufei, et al.
Published: (2025)
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)
by: Sui, Yuan, et al.
Published: (2024)
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
by: Sui, Yuan, et al.
Published: (2024)
by: Sui, Yuan, et al.
Published: (2024)
Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance
by: He, Yufei, et al.
Published: (2025)
by: He, Yufei, et al.
Published: (2025)
Conversation for Non-verifiable Learning: Self-Evolving LLMs through Meta-Evaluation
by: Sui, Yuan, et al.
Published: (2026)
by: Sui, Yuan, et al.
Published: (2026)
AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing
by: Li, Yuexin, et al.
Published: (2026)
by: Li, Yuexin, et al.
Published: (2026)
Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
by: Deng, Ailin, et al.
Published: (2025)
by: Deng, Ailin, et al.
Published: (2025)
GuardReasoner: Towards Reasoning-based LLM Safeguards
by: Liu, Yue, et al.
Published: (2025)
by: Liu, Yue, et al.
Published: (2025)
Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates
by: Li, Yibo, et al.
Published: (2026)
by: Li, Yibo, et al.
Published: (2026)
Automating Steering for Safe Multimodal Large Language Models
by: Wu, Lyucheng, et al.
Published: (2025)
by: Wu, Lyucheng, et al.
Published: (2025)
APEX: Autonomous Policy Exploration for Self-Evolving LLM Agents
by: Li, Yibo, et al.
Published: (2026)
by: Li, Yibo, et al.
Published: (2026)
FlowReasoner: Reinforcing Query-Level Meta-Agents
by: Gao, Hongcheng, et al.
Published: (2025)
by: Gao, Hongcheng, et al.
Published: (2025)
Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet
by: Zhao, James Xu, et al.
Published: (2025)
by: Zhao, James Xu, et al.
Published: (2025)
GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning
by: Liu, Yue, et al.
Published: (2025)
by: Liu, Yue, et al.
Published: (2025)
TACT: Mitigating Overthinking and Overacting in Coding Agents via Activation Steering
by: Sui, Yuan, et al.
Published: (2026)
by: Sui, Yuan, et al.
Published: (2026)
Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models
by: Gu, Xiaojie, et al.
Published: (2026)
by: Gu, Xiaojie, et al.
Published: (2026)
JudgeLRM: Large Reasoning Models as a Judge
by: Chen, Nuo, et al.
Published: (2025)
by: Chen, Nuo, et al.
Published: (2025)
KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection
by: Li, Yuexin, et al.
Published: (2024)
by: Li, Yuexin, et al.
Published: (2024)
Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding
by: Deng, Ailin, et al.
Published: (2024)
by: Deng, Ailin, et al.
Published: (2024)
Towards A Unified View of Answer Calibration for Multi-Step Reasoning
by: Deng, Shumin, et al.
Published: (2023)
by: Deng, Shumin, et al.
Published: (2023)
DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs
by: Li, Yuan, et al.
Published: (2025)
by: Li, Yuan, et al.
Published: (2025)
UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs
by: He, Yufei, et al.
Published: (2024)
by: He, Yufei, et al.
Published: (2024)
Guidance is All You Need: Temperature-Guided Reasoning in Large Language Models
by: Gomaa, Eyad, et al.
Published: (2024)
by: Gomaa, Eyad, et al.
Published: (2024)
Large Language Model Reasoning Failures
by: Song, Peiyang, et al.
Published: (2026)
by: Song, Peiyang, et al.
Published: (2026)
LEPO: Latent Reasoning Policy Optimization for Large Language Models
by: Zhou, Yuyan, et al.
Published: (2026)
by: Zhou, Yuyan, et al.
Published: (2026)
Can Large Language Models Reason and Optimize Under Constraints?
by: Bernier, Fabien, et al.
Published: (2026)
by: Bernier, Fabien, et al.
Published: (2026)
LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models
by: Wei, Songtao, et al.
Published: (2026)
by: Wei, Songtao, et al.
Published: (2026)
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
by: Yue, Yang, et al.
Published: (2024)
by: Yue, Yang, et al.
Published: (2024)
Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models
by: Guo, Zhenyuan, et al.
Published: (2026)
by: Guo, Zhenyuan, et al.
Published: (2026)
Reasoning Language Model Inference Serving Unveiled: An Empirical Study
by: Li, Qi, et al.
Published: (2025)
by: Li, Qi, et al.
Published: (2025)
Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression
by: Huang, Jiameng, et al.
Published: (2025)
by: Huang, Jiameng, et al.
Published: (2025)
DecepChain: Inducing Deceptive Reasoning in Large Language Models
by: Shen, Wei, et al.
Published: (2025)
by: Shen, Wei, et al.
Published: (2025)
Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning
by: Pawar, Pranav, et al.
Published: (2025)
by: Pawar, Pranav, et al.
Published: (2025)
ChessArena: A Chess Testbed for Evaluating Strategic Reasoning Capabilities of Large Language Models
by: Liu, Jincheng, et al.
Published: (2025)
by: Liu, Jincheng, et al.
Published: (2025)
Process or Result? Manipulated Ending Tokens Can Mislead Reasoning LLMs to Ignore the Correct Reasoning Steps
by: Cui, Yu, et al.
Published: (2025)
by: Cui, Yu, et al.
Published: (2025)
Discovering and Reasoning of Causality in the Hidden World with Large Language Models
by: Liu, Chenxi, et al.
Published: (2024)
by: Liu, Chenxi, et al.
Published: (2024)
WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections
by: Cao, Tri, et al.
Published: (2026)
by: Cao, Tri, et al.
Published: (2026)
Accelerating Large-Scale Reasoning Model Inference with Sparse Self-Speculative Decoding
by: Zhao, Yilong, et al.
Published: (2025)
by: Zhao, Yilong, et al.
Published: (2025)
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?
by: Chi, Haoang, et al.
Published: (2025)
by: Chi, Haoang, et al.
Published: (2025)
AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent
by: Luo, Haipeng, et al.
Published: (2025)
by: Luo, Haipeng, et al.
Published: (2025)
Similar Items
-
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) -
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
by: Sui, Yuan, et al.
Published: (2024) -
Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance
by: He, Yufei, et al.
Published: (2025) -
Conversation for Non-verifiable Learning: Self-Evolving LLMs through Meta-Evaluation
by: Sui, Yuan, et al.
Published: (2026)