Saved in:
| Main Author: | Gondil, Tanay |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.00228 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
When Two LLMs Debate, Both Think They'll Win
by: Prasad, Pradyumna Shyama, et al.
Published: (2025)
by: Prasad, Pradyumna Shyama, et al.
Published: (2025)
Can LLMs Refuse Questions They Do Not Know? Measuring Knowledge-Aware Refusal in Factual Tasks
by: Pan, Wenbo, et al.
Published: (2025)
by: Pan, Wenbo, et al.
Published: (2025)
Do Retrieval Augmented Language Models Know When They Don't Know?
by: Zhou, Youchao, et al.
Published: (2025)
by: Zhou, Youchao, et al.
Published: (2025)
Emergent Introspective Awareness in Large Language Models
by: Lindsey, Jack
Published: (2026)
by: Lindsey, Jack
Published: (2026)
From Imitation to Introspection: Probing Self-Consciousness in Language Models
by: Chen, Sirui, et al.
Published: (2024)
by: Chen, Sirui, et al.
Published: (2024)
Do Language Models Know When They're Hallucinating References?
by: Agrawal, Ayush, et al.
Published: (2023)
by: Agrawal, Ayush, et al.
Published: (2023)
Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?
by: Mei, Zhiting, et al.
Published: (2025)
by: Mei, Zhiting, et al.
Published: (2025)
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models
by: Madhusudhan, Nishanth, et al.
Published: (2024)
by: Madhusudhan, Nishanth, et al.
Published: (2024)
STAIR: Improving Safety Alignment with Introspective Reasoning
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
When Safety Blocks Sense: Measuring Semantic Confusion in LLM Refusals
by: Anonto, Riad Ahmed, et al.
Published: (2025)
by: Anonto, Riad Ahmed, et al.
Published: (2025)
Refusal Direction is Universal Across Safety-Aligned Languages
by: Wang, Xinpeng, et al.
Published: (2025)
by: Wang, Xinpeng, et al.
Published: (2025)
Do LVLMs Know What They Know? A Systematic Study of Knowledge Boundary Perception in LVLMs
by: Ding, Zhikai, et al.
Published: (2025)
by: Ding, Zhikai, et al.
Published: (2025)
Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models
by: Ferrando, Javier, et al.
Published: (2024)
by: Ferrando, Javier, et al.
Published: (2024)
Where Do Reasoning Models Refuse?
by: Yamaguchi, Kureha, et al.
Published: (2025)
by: Yamaguchi, Kureha, et al.
Published: (2025)
Do We Know What LLMs Don't Know? A Study of Consistency in Knowledge Probing
by: Zhao, Raoyuan, et al.
Published: (2025)
by: Zhao, Raoyuan, et al.
Published: (2025)
Language Models Fail to Introspect About Their Knowledge of Language
by: Song, Siyuan, et al.
Published: (2025)
by: Song, Siyuan, et al.
Published: (2025)
Do Large Language Models Know How Much They Know?
by: Prato, Gabriele, et al.
Published: (2025)
by: Prato, Gabriele, et al.
Published: (2025)
When Refusals Fail: Unstable Safety Mechanisms in Long-Context LLM Agents
by: Hadeliya, Tsimur, et al.
Published: (2025)
by: Hadeliya, Tsimur, et al.
Published: (2025)
Thinking Out Loud: Do Reasoning Models Know When They're Right?
by: Zeng, Qingcheng, et al.
Published: (2025)
by: Zeng, Qingcheng, et al.
Published: (2025)
Large Language Models Know What To Say But Not When To Speak
by: Umair, Muhammad, et al.
Published: (2024)
by: Umair, Muhammad, et al.
Published: (2024)
Seeing Isn't Knowing: Do VLMs Know When Not to Answer Spatial Questions (and Why)?
by: Zhang, Yue, et al.
Published: (2026)
by: Zhang, Yue, et al.
Published: (2026)
Do LLMs Know What Is Private Internally? Probing and Steering Contextual Privacy Norms in Large Language Model Representations
by: Wang, Haoran, et al.
Published: (2026)
by: Wang, Haoran, et al.
Published: (2026)
Oyster-I: Beyond Refusal -- Constructive Safety Alignment for Responsible Language Models
by: Duan, Ranjie, et al.
Published: (2025)
by: Duan, Ranjie, et al.
Published: (2025)
Knowing When Not to Answer: Abstention-Aware Scientific Reasoning
by: Abdaljalil, Samir, et al.
Published: (2026)
by: Abdaljalil, Samir, et al.
Published: (2026)
When Models Know More Than They Say: Probing Analogical Reasoning in LLMs
by: McGovern, Hope, et al.
Published: (2026)
by: McGovern, Hope, et al.
Published: (2026)
Do Large Language Models Know What They Are Capable Of?
by: Barkan, Casey O., et al.
Published: (2025)
by: Barkan, Casey O., et al.
Published: (2025)
Think Before Refusal : Triggering Safety Reflection in LLMs to Mitigate False Refusal Behavior
by: Si, Shengyun, et al.
Published: (2025)
by: Si, Shengyun, et al.
Published: (2025)
Answer, Refuse, or Guess? Investigating Risk-Aware Decision Making in Language Models
by: Wu, Cheng-Kuang, et al.
Published: (2025)
by: Wu, Cheng-Kuang, et al.
Published: (2025)
Refusal Tokens: A Simple Way to Calibrate Refusals in Large Language Models
by: Jain, Neel, et al.
Published: (2024)
by: Jain, Neel, et al.
Published: (2024)
Large Language Models Often Know When They Are Being Evaluated
by: Needham, Joe, et al.
Published: (2025)
by: Needham, Joe, et al.
Published: (2025)
Knowing When to Ask -- Bridging Large Language Models and Data
by: Radhakrishnan, Prashanth, et al.
Published: (2024)
by: Radhakrishnan, Prashanth, et al.
Published: (2024)
Understanding Refusal in Language Models with Sparse Autoencoders
by: Yeo, Wei Jie, et al.
Published: (2025)
by: Yeo, Wei Jie, et al.
Published: (2025)
Do LLMs Know What Luxembourgish Borrows? Probing Lexical Neology in Low-Resource Multilingual Models
by: Hosseini-Kivanani, Nina
Published: (2026)
by: Hosseini-Kivanani, Nina
Published: (2026)
Reasoning Models Know When They're Right: Probing Hidden States for Self-Verification
by: Zhang, Anqi, et al.
Published: (2025)
by: Zhang, Anqi, et al.
Published: (2025)
From Threat to Tool: Leveraging Refusal-Aware Injection Attacks for Safety Alignment
by: Chae, Kyubyung, et al.
Published: (2025)
by: Chae, Kyubyung, et al.
Published: (2025)
Does It Make Sense to Speak of Introspection in Large Language Models?
by: Comsa, Iulia M., et al.
Published: (2025)
by: Comsa, Iulia M., et al.
Published: (2025)
RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models
by: Muhamed, Aashiq, et al.
Published: (2025)
by: Muhamed, Aashiq, et al.
Published: (2025)
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training
by: Yuan, Youliang, et al.
Published: (2024)
by: Yuan, Youliang, et al.
Published: (2024)
Characterizing Selective Refusal Bias in Large Language Models
by: Khorramrouz, Adel, et al.
Published: (2025)
by: Khorramrouz, Adel, et al.
Published: (2025)
Give Prospective Members A Taste of What They'll Get
Published: (2024)
Published: (2024)
Similar Items
-
When Two LLMs Debate, Both Think They'll Win
by: Prasad, Pradyumna Shyama, et al.
Published: (2025) -
Can LLMs Refuse Questions They Do Not Know? Measuring Knowledge-Aware Refusal in Factual Tasks
by: Pan, Wenbo, et al.
Published: (2025) -
Do Retrieval Augmented Language Models Know When They Don't Know?
by: Zhou, Youchao, et al.
Published: (2025) -
Emergent Introspective Awareness in Large Language Models
by: Lindsey, Jack
Published: (2026) -
From Imitation to Introspection: Probing Self-Consciousness in Language Models
by: Chen, Sirui, et al.
Published: (2024)