Cover Image

The Hidden Signal of Verifier Strictness: Controlling and Improving Step-Wise Verification via Selective Latent Steering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Yefan, Zhou, Yilun, Xu, Austin, Vosoughi, Soroush, Joty, Shafiq, Gui, Jiang
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Variation in Verification: Understanding Verification Dynamics in Large Language Models
by: Zhou, Yefan, et al.
Published: (2025)

On the Shelf Life of Fine-Tuned LLM-Judges: Future-Proofing, Backward-Compatibility, and Question Generalization
by: Singh, Janvijay, et al.
Published: (2025)

Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math
by: Pandit, Shrey, et al.
Published: (2025)

Direct Judgement Preference Optimization
by: Wang, Peifeng, et al.
Published: (2024)

Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
by: Zhou, Yilun, et al.
Published: (2025)

J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization
by: Xu, Austin, et al.
Published: (2025)

AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality
by: Qing, Peijun, et al.
Published: (2024)

Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains
by: Xu, Austin, et al.
Published: (2025)

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization
by: Li, Chuyuan, et al.
Published: (2025)

References Improve LLM Alignment in Non-Verifiable Domains
by: Shi, Kejian, et al.
Published: (2026)

MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems
by: Venkataramani, Vishal, et al.
Published: (2026)

Disordered-DABS: A Benchmark for Dynamic Aspect-Based Summarization in Disordered Texts
by: Guo, Xiaobo, et al.
Published: (2024)

MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization
by: Guo, Xiaobo, et al.
Published: (2024)

Serial Position Effects of Large Language Models
by: Guo, Xiaobo, et al.
Published: (2024)

Diffusion Language Models Know the Answer Before Decoding
by: Li, Pengxiang, et al.
Published: (2025)

Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings
by: Xu, Austin, et al.
Published: (2025)

SMILE: A Composite Lexical-Semantic Metric for Question-Answering Evaluation
by: Kendre, Shrikant, et al.
Published: (2025)

Unsupervised Summarization Re-ranking
by: Ravaut, Mathieu, et al.
Published: (2022)

Investigating Factuality in Long-Form Text Generation: The Roles of Self-Known and Self-Unknown
by: Tu, Lifu, et al.
Published: (2024)

Subliminal Steering: Stronger Encoding of Hidden Signals
by: Morgulis, George, et al.
Published: (2026)

NAACL2025 Tutorial: Adaptation of Large Language Models
by: Ke, Zixuan, et al.
Published: (2025)

VIBEPASS: Can Vibe Coders Really Pass the Vibe Check?
by: Bansal, Srijan, et al.
Published: (2026)

NushuRescue: Revitalization of the Endangered Nushu Language with AI
by: Yang, Ivory, et al.
Published: (2024)

MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks
by: Ke, Zixuan, et al.
Published: (2026)

LogicReward: Incentivizing LLM Reasoning via Step-Wise Logical Supervision
by: Xu, Jundong, et al.
Published: (2025)

On Positional Bias of Faithfulness for Long-form Summarization
by: Wan, David, et al.
Published: (2024)

Is It Navajo? Accurate Language Detection in Endangered Athabaskan Languages
by: Yang, Ivory, et al.
Published: (2025)

MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations
by: Wang, Yuxin, et al.
Published: (2024)

Enhanced Detection of Conversational Mental Manipulation Through Advanced Prompting Techniques
by: Yang, Ivory, et al.
Published: (2024)

Synthesizing Agentic Data for Web Agents with Progressive Difficulty Enhancement Mechanisms
by: Pandit, Shrey, et al.
Published: (2025)

Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
by: Chen, Hailin, et al.
Published: (2023)

JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking
by: Niu, Tong, et al.
Published: (2024)

On Context Utilization in Summarization with Large Language Models
by: Ravaut, Mathieu, et al.
Published: (2023)

ParaICL: Towards Parallel In-Context Learning
by: Li, Xingxuan, et al.
Published: (2024)

Superficial Self-Improved Reasoners Benefit from Model Merging
by: Yuan, Xiangchi, et al.
Published: (2025)

Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization
by: Diao, Xingjian, et al.
Published: (2026)

MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision
by: Ke, Zixuan, et al.
Published: (2025)

TextualVerifier: Verify TextGrad Step-by-Step
by: Situmorang, Eugenius Mario, et al.
Published: (2025)

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents
by: Nguyen, Xuan-Phi, et al.
Published: (2025)

AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress
by: Xi, Zhiheng, et al.
Published: (2025)