Imagen de Portada

NCV: A Node-Wise Consistency Verification Approach for Low-Cost Structured Error Localization in LLM Reasoning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Yulong, Wang, Li, Du, Wei, Li, Peilin, Zhao, Yuqin Dai Zhiyuan, Fang, Lingyong, Liu, Ziniu, Zhang, Ru, Zhu, Huijia, Liu, Gongshen
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

FedNCV: Optimizing Federated Learning With Networked Control Variates
por: Yaling Liu, et al.
Publicado: (2025)

Improving Non-autoregressive Machine Translation with Error Exposure and Consistency Regularization
por: Chen, Xinran, et al.
Publicado: (2024)

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining
por: Wu, Zongru, et al.
Publicado: (2024)

Judge Before Answer: Can MLLM Discern the False Premise in Question?
por: Li, Jidong, et al.
Publicado: (2025)

Thinking in a Crowd: How Auxiliary Information Shapes LLM Reasoning
por: Zhao, Haodong, et al.
Publicado: (2025)

A Universal Identity Backdoor Attack against Speaker Verification based on Siamese Network
por: Zhao, Haodong, et al.
Publicado: (2023)

Beyond Fixed Anchors: Precisely Erasing Concepts with Sibling Exclusive Counterparts
por: Zhang, Tong, et al.
Publicado: (2025)

How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study
por: Ju, Tianjie, et al.
Publicado: (2024)

A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
por: Xu, Xiaoang, et al.
Publicado: (2025)

Guiding LLM-based Loop Invariant Synthesis via Feedback on Local Reasoning Errors
por: Li, Tianchi, et al.
Publicado: (2026)

An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration
por: Li, Yihao, et al.
Publicado: (2024)

Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty
por: Wu, Peilin, et al.
Publicado: (2025)

Step-Wise Formal Verification for LLM-Based Mathematical Problem Solving
por: Zhou, Kuo, et al.
Publicado: (2025)

Echoes as Anchors: Probabilistic Costs and Attention Refocusing in LLM Reasoning
por: Hao, Zhuoyuan, et al.
Publicado: (2026)

A Stage-Wise Learning Strategy with Fixed Anchors for Robust Speaker Verification
por: Gu, Bin, et al.
Publicado: (2025)

Prefix-Safe Bayesian Belief Tracking for LLM Reasoning Reliability:Separating Calibration from Ranking
por: Song, Zhenghan, et al.
Publicado: (2026)

Up to 36x Speedup: Mask-based Parallel Inference Paradigm for Key Information Extraction in MLLMs
por: Wang, Xinzhong, et al.
Publicado: (2026)

Temporal Consistency for LLM Reasoning Process Error Identification
por: Guo, Jiacheng, et al.
Publicado: (2025)

InsightVision: A Comprehensive, Multi-Level Chinese-based Benchmark for Evaluating Implicit Visual Semantics in Large Vision Language Models
por: Yin, Xiaofei, et al.
Publicado: (2025)

UOR: Universal Backdoor Attacks on Pre-trained Language Models
por: Du, Wei, et al.
Publicado: (2023)

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models
por: Ruan, Jiaoyang, et al.
Publicado: (2026)

AssertLLM: Generating Hardware Verification Assertions from Design Specifications via Multi-LLMs
por: Yan, Zhiyuan, et al.
Publicado: (2024)

Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities
por: Ju, Tianjie, et al.
Publicado: (2024)

Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training
por: Huang, Zizheng, et al.
Publicado: (2024)

AssertLLM: Generating and Evaluating Hardware Verification Assertions from Design Specifications via Multi-LLMs
por: Fang, Wenji, et al.
Publicado: (2024)

Your Simulation Runs but Solves the Wrong Physics: PDE-Grounded Intent Verification for LLM-Generated Multiphysics Simulation Code
por: Song, Zhenghan, et al.
Publicado: (2026)

Estimating Correlation Clustering Cost in Node-Arrival Stream
por: Liu, Kaiwen, et al.
Publicado: (2026)

Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCR
por: Zhang, Yulong, et al.
Publicado: (2025)

HLL: Can Agents Cross Humanity's Last Line of Verification?
por: Song, Xinhao, et al.
Publicado: (2026)

RouteGoT: Node-Adaptive Routing for Cost-Efficient Graph of Thoughts Reasoning
por: Liu, Yuhang, et al.
Publicado: (2026)

U-GIFT: Uncertainty-Guided Firewall for Toxic Speech in Few-Shot Scenario
por: Song, Jiaxin, et al.
Publicado: (2025)

Disagreements in Reasoning: How a Model's Thinking Process Dictates Persuasion in Multi-Agent Systems
por: Zhao, Haodong, et al.
Publicado: (2025)

Enhancing LLM-Based Data Annotation with Error Decomposition
por: Xu, Zhen, et al.
Publicado: (2026)

OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following
por: Shi, Haochen, et al.
Publicado: (2024)

A Note on Hybrid Online Reinforcement and Imitation Learning for LLMs: Formulations and Algorithms
por: Li, Yingru, et al.
Publicado: (2025)

Error-resilient Distributed Local Verification
por: Garncarek, Paweł, et al.
Publicado: (2026)

Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification
por: Liang, Zhenwen, et al.
Publicado: (2024)

Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization
por: Zhang, Qingyang, et al.
Publicado: (2025)

Graph of Verification: Structured Verification of LLM Reasoning with Directed Acyclic Graphs
por: Fang, Jiwei, et al.
Publicado: (2025)

Smoothing Grounding and Reasoning for MLLM-Powered GUI Agents with Query-Oriented Pivot Tasks
por: Wu, Zongru, et al.
Publicado: (2025)