Cover Image

Can LLMs Refuse Questions They Do Not Know? Measuring Knowledge-Aware Refusal in Factual Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pan, Wenbo, Xu, Jie, Chen, Qiguang, Dong, Junhao, Qin, Libo, Li, Xinfeng, Yu, Haining, Jia, Xiaohua
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Do Reasoning LLMs Refuse What They Infer in Long Contexts?
by: Fu, Yu, et al.
Published: (2026)

The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Analysis of Orthogonal Safety Directions
by: Pan, Wenbo, et al.
Published: (2025)

To Answer or to Refuse? Investigating the Effect of Refusal to Answer Privacy‐Invasive Question on Applicants' Perceived Hireability
by: Wanlu Li, et al.
Published: (2024)

Over-Refusal and Representation Subspaces: A Mechanistic Analysis of Task-Conditioned Refusal in Aligned LLMs
by: Maskey, Utsav, et al.
Published: (2026)

Rejection Improves Reliability: Training LLMs to Refuse Unknown Questions Using RL from Knowledge Feedback
by: Xu, Hongshen, et al.
Published: (2024)

Do Language Models Know When They'll Refuse? Probing Introspective Awareness of Safety Boundaries
by: Gondil, Tanay
Published: (2026)

Towards Long-Horizon Interpretability: Efficient and Faithful Multi-Token Attribution for Reasoning LLMs
by: Pan, Wenbo, et al.
Published: (2026)

LLMs Can Unlearn Refusal with Only 1,000 Benign Samples
by: Guo, Yangyang, et al.
Published: (2026)

RAID: Refusal-Aware and Integrated Decoding for Jailbreaking LLMs
by: Nguyen, Tuan T., et al.
Published: (2025)

Refusal in LLMs is an Affine Function
by: Marshall, Thomas, et al.
Published: (2024)

Mind the Inconspicuous: Revealing the Hidden Weakness in Aligned LLMs' Refusal Boundaries
by: Yu, Jiahao, et al.
Published: (2024)

SafeConstellations: Mitigating Over-Refusals in LLMs Through Task-Aware Representation Steering
by: Maskey, Utsav, et al.
Published: (2025)

Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training
by: Yuan, Youliang, et al.
Published: (2024)

Where Do Reasoning Models Refuse?
by: Yamaguchi, Kureha, et al.
Published: (2025)

Think Before Refusal : Triggering Safety Reflection in LLMs to Mitigate False Refusal Behavior
by: Si, Shengyun, et al.
Published: (2025)

RefusalBench: Why Refusal Rate Misranks Frontier LLMs on Biological Research Prompts
by: Weidener, Lukas, et al.
Published: (2026)

From Refusal Tokens to Refusal Control: Discovering and Steering Category-Specific Refusal Directions
by: Alagharu, Rishab, et al.
Published: (2026)

LLMs Encode Harmfulness and Refusal Separately
by: Zhao, Jiachen, et al.
Published: (2025)

Beyond Over-Refusal: Scenario-Based Diagnostics and Post-Hoc Mitigation for Exaggerated Refusals in LLMs
by: Yuan, Shuzhou, et al.
Published: (2025)

Refusal and Aporia: At the Limits of Anthropological Knowledge
by: Cory‐Alice André‐Johnson
Published: (2026)

WebTrap: Stealthy Mid-Task Hijacking of Browser Agents During Navigation
by: Liu, Zhichao, et al.
Published: (2026)

Refusal Speech
by: Nhatuve, Diocleciano, et al.
Published: (2021)

Refusals of noncitizenship
by: Peter Nyers
Published: (2024)

Learning to Refuse: Refusal-Aware Reinforcement Fine-Tuning for Hard-Irrelevant Queries in Video Temporal Grounding
by: Lee, Jin-Seop, et al.
Published: (2025)

Manufacturing Refused Knowledge in the Age of Epistemic Pluralism
Published: (2024)

Cannot or Should Not? Automatic Analysis of Refusal Composition in IFT/RLHF Datasets and Refusal Behavior of Black-Box LLMs
by: von Recum, Alexander, et al.
Published: (2024)

LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL Queries
by: Ren, Xuancheng, et al.
Published: (2026)

RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models
by: Muhamed, Aashiq, et al.
Published: (2025)

Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
by: Song, Maojia, et al.
Published: (2024)

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models
by: Yoon, Eunseop, et al.
Published: (2025)

Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism
by: Cao, Lang
Published: (2023)

Signs of the Great Refusal
by: Siegel, Tedd
Published: (2023)

Refusal Dark Matter
by: Christopher Love
Published: (2026)

Lithuanian Refusals and Politeness
by: Donata Katinaitė
Published: (2021)

Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents
by: Kumar, Priyanshu, et al.
Published: (2024)

Silenced Biases: The Dark Side LLMs Learned to Refuse
by: Himelstein, Rom, et al.
Published: (2025)

Does Refusal Training in LLMs Generalize to the Past Tense?
by: Andriushchenko, Maksym, et al.
Published: (2024)

Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
by: Liu, Zhenhua, et al.
Published: (2024)

Tracing the Dynamics of Refusal: Exploiting Latent Refusal Trajectories for Robust Jailbreak Detection
by: Hu, Xulin, et al.
Published: (2026)

Refusal Tokens: A Simple Way to Calibrate Refusals in Large Language Models
by: Jain, Neel, et al.
Published: (2024)