Rejection Improves Reliability: Training LLMs to Refuse Unknown Questions Using RL from Knowledge Feedback
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Hongshen, Zhu, Zichen, Zhang, Situo, Ma, Da, Fan, Shuai, Chen, Lu, Yu, Kai |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reducing Tool Hallucination via Reliability Alignment
by: Xu, Hongshen, et al.
Published: (2024)
by: Xu, Hongshen, et al.
Published: (2024)
Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity
by: Ma, Da, et al.
Published: (2024)
by: Ma, Da, et al.
Published: (2024)
Sparsity-Accelerated Training for Large Language Models
by: Ma, Da, et al.
Published: (2024)
by: Ma, Da, et al.
Published: (2024)
AdaEAGLE: Optimizing Speculative Decoding via Explicit Modeling of Adaptive Draft Structures
by: Zhang, Situo, et al.
Published: (2024)
by: Zhang, Situo, et al.
Published: (2024)
Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding
by: Xu, Hongshen, et al.
Published: (2024)
by: Xu, Hongshen, et al.
Published: (2024)
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)
PACER: Blockwise Pre-verification for Speculative Decoding with Adaptive Length
by: Zhang, Situo, et al.
Published: (2026)
by: Zhang, Situo, et al.
Published: (2026)
Enhancing LLM Reliability via Explicit Knowledge Boundary Modeling
by: Zheng, Hang, et al.
Published: (2025)
by: Zheng, Hang, et al.
Published: (2025)
DiSRouter: Distributed Self-Routing for LLM Selections
by: Zheng, Hang, et al.
Published: (2025)
by: Zheng, Hang, et al.
Published: (2025)
Alignment for Efficient Tool Calling of Large Language Models
by: Xu, Hongshen, et al.
Published: (2025)
by: Xu, Hongshen, et al.
Published: (2025)
FalseReject: A Resource for Improving Contextual Safety and Mitigating Over-Refusals in LLMs via Structured Reasoning
by: Zhang, Zhehao, et al.
Published: (2025)
by: Zhang, Zhehao, 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)
Developing ChemDFM as a large language foundation model for chemistry
by: Zhao, Zihan, et al.
Published: (2024)
by: Zhao, Zihan, et al.
Published: (2024)
Multilingual Brain Surgeon: Large Language Models Can be Compressed Leaving No Language Behind
by: Zeng, Hongchuan, et al.
Published: (2024)
by: Zeng, Hongchuan, et al.
Published: (2024)
ProgRM: Build Better GUI Agents with Progress Rewards
by: Zhang, Danyang, et al.
Published: (2025)
by: Zhang, Danyang, et al.
Published: (2025)
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs
by: Chen, Zichen, et al.
Published: (2023)
by: Chen, Zichen, et al.
Published: (2023)
Enhancing Transformation from Natural Language to Signal Temporal Logic Using LLMs with Diverse External Knowledge
by: Fang, Yue, et al.
Published: (2025)
by: Fang, Yue, et al.
Published: (2025)
Scientific Knowledge-driven Decoding Constraints Improving the Reliability of LLMs
by: Ma, Maotian, et al.
Published: (2026)
by: Ma, Maotian, et al.
Published: (2026)
Latent Adversarial Training Improves the Representation of Refusal
by: Abbas, Alexandra, et al.
Published: (2025)
by: Abbas, Alexandra, et al.
Published: (2025)
CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions
by: Zhang, Hanchong, et al.
Published: (2024)
by: Zhang, Hanchong, et al.
Published: (2024)
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism
by: Cao, Lang
Published: (2023)
by: Cao, Lang
Published: (2023)
MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning
by: Yang, Kang, et al.
Published: (2025)
by: Yang, Kang, et al.
Published: (2025)
Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering
by: Zhu, Jiajun, et al.
Published: (2025)
by: Zhu, Jiajun, et al.
Published: (2025)
How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence
by: Du, Hongzhe, et al.
Published: (2025)
by: Du, Hongzhe, et al.
Published: (2025)
Does Refusal Training in LLMs Generalize to the Past Tense?
by: Andriushchenko, Maksym, et al.
Published: (2024)
by: Andriushchenko, Maksym, et al.
Published: (2024)
UAQFact: Evaluating Factual Knowledge Utilization of LLMs on Unanswerable Questions
by: Tan, Chuanyuan, et al.
Published: (2025)
by: Tan, Chuanyuan, et al.
Published: (2025)
Delusions of Large Language Models
by: Xu, Hongshen, et al.
Published: (2025)
by: Xu, Hongshen, et al.
Published: (2025)
iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering
by: Wang, Shuai, et al.
Published: (2025)
by: Wang, Shuai, et al.
Published: (2025)
CLaw: Benchmarking Chinese Legal Knowledge in Large Language Models - A Fine-grained Corpus and Reasoning Analysis
by: Xu, Xinzhe, et al.
Published: (2025)
by: Xu, Xinzhe, et al.
Published: (2025)
A BiRGAT Model for Multi-intent Spoken Language Understanding with Hierarchical Semantic Frames
by: Xu, Hongshen, et al.
Published: (2024)
by: Xu, Hongshen, et al.
Published: (2024)
MobA: Multifaceted Memory-Enhanced Adaptive Planning for Efficient Mobile Task Automation
by: Zhu, Zichen, et al.
Published: (2024)
by: Zhu, Zichen, et al.
Published: (2024)
Evolving Subnetwork Training for Large Language Models
by: Li, Hanqi, et al.
Published: (2024)
by: Li, Hanqi, et al.
Published: (2024)
Exploiting Tree Structure for Credit Assignment in RL Training of LLMs
by: Tran, Hieu, et al.
Published: (2025)
by: Tran, Hieu, et al.
Published: (2025)
Refusal in LLMs is an Affine Function
by: Marshall, Thomas, et al.
Published: (2024)
by: Marshall, Thomas, et al.
Published: (2024)
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
by: Liu, Zhenhua, et al.
Published: (2024)
by: Liu, Zhenhua, et al.
Published: (2024)
LLMs Encode Harmfulness and Refusal Separately
by: Zhao, Jiachen, et al.
Published: (2025)
by: Zhao, Jiachen, et al.
Published: (2025)
Knowledge Dependency Estimation for Reliable Question Answering
by: Tong, Chaodong, et al.
Published: (2026)
by: Tong, Chaodong, et al.
Published: (2026)
LiveCLKTBench: Towards Reliable Evaluation of Cross-Lingual Knowledge Transfer in Multilingual LLMs
by: Guo, Pei-Fu, et al.
Published: (2025)
by: Guo, Pei-Fu, et al.
Published: (2025)
Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs
by: Vladika, Juraj, et al.
Published: (2025)
by: Vladika, Juraj, et al.
Published: (2025)
Automate Knowledge Concept Tagging on Math Questions with LLMs
by: Li, Hang, et al.
Published: (2024)
by: Li, Hang, et al.
Published: (2024)
Similar Items
-
Reducing Tool Hallucination via Reliability Alignment
by: Xu, Hongshen, et al.
Published: (2024) -
Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity
by: Ma, Da, et al.
Published: (2024) -
Sparsity-Accelerated Training for Large Language Models
by: Ma, Da, et al.
Published: (2024) -
AdaEAGLE: Optimizing Speculative Decoding via Explicit Modeling of Adaptive Draft Structures
by: Zhang, Situo, et al.
Published: (2024) -
Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding
by: Xu, Hongshen, et al.
Published: (2024)