Saved in:
| Main Authors: | Zhu, Runchuan, Jiang, Zinco, Wu, Jiang, Ma, Zhipeng, Song, Jiahe, Bai, Fengshuo, Lin, Dahua, Wu, Lijun, He, Conghui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.05911 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Utilize the Flow before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction Tuning
by: Zhu, Runchuan, et al.
Published: (2024)
by: Zhu, Runchuan, et al.
Published: (2024)
Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question Answering
by: Jiang, Bowen, et al.
Published: (2025)
by: Jiang, Bowen, et al.
Published: (2025)
PM4Bench: Benchmarking Large Vision-Language Models with Parallel Multilingual Multi-Modal Multi-task Corpus
by: Gao, Junyuan, et al.
Published: (2025)
by: Gao, Junyuan, et al.
Published: (2025)
Retrieval Dexterity: Efficient Object Retrieval in Clutters with Dexterous Hand
by: Bai, Fengshuo, et al.
Published: (2025)
by: Bai, Fengshuo, et al.
Published: (2025)
Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning
by: Tang, Zinan, et al.
Published: (2025)
by: Tang, Zinan, et al.
Published: (2025)
Critique Before Thinking: Mitigating Hallucination through Rationale-Augmented Instruction Tuning
by: Yang, Zexian, et al.
Published: (2025)
by: Yang, Zexian, et al.
Published: (2025)
AdaptFlow: Adaptive Workflow Optimization via Meta-Learning
by: Zhu, Runchuan, et al.
Published: (2025)
by: Zhu, Runchuan, et al.
Published: (2025)
EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models
by: Xiao, Yuzhen, et al.
Published: (2025)
by: Xiao, Yuzhen, et al.
Published: (2025)
Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting
by: Wu, Jiarui, et al.
Published: (2025)
by: Wu, Jiarui, et al.
Published: (2025)
Molecular Identifier Visual Prompt and Verifiable Reinforcement Learning for Chemical Reaction Diagram Parsing
by: Song, Jiahe, et al.
Published: (2026)
by: Song, Jiahe, et al.
Published: (2026)
Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
by: Zhao, Zhiyuan, et al.
Published: (2023)
by: Zhao, Zhiyuan, et al.
Published: (2023)
Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models
by: Zhang, Jinrui, et al.
Published: (2024)
by: Zhang, Jinrui, et al.
Published: (2024)
Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning
by: Lin, Honglin, et al.
Published: (2025)
by: Lin, Honglin, et al.
Published: (2025)
Towards Mitigating API Hallucination in Code Generated by LLMs with Hierarchical Dependency Aware
by: Chen, Yujia, et al.
Published: (2025)
by: Chen, Yujia, et al.
Published: (2025)
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
by: Jiang, Gangwei, et al.
Published: (2025)
by: Jiang, Gangwei, et al.
Published: (2025)
Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint
by: Du, Yanrui, et al.
Published: (2025)
by: Du, Yanrui, et al.
Published: (2025)
MedHallTune: An Instruction-Tuning Benchmark for Mitigating Medical Hallucination in Vision-Language Models
by: Yan, Qiao, et al.
Published: (2025)
by: Yan, Qiao, et al.
Published: (2025)
A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis
by: Gao, Xin, et al.
Published: (2025)
by: Gao, Xin, et al.
Published: (2025)
DualEdit: Mitigating Safety Fallback in LLM Backdoor Editing via Affirmation-Refusal Regulation
by: Jiang, Houcheng, et al.
Published: (2025)
by: Jiang, Houcheng, et al.
Published: (2025)
EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions
by: Wu, Xiaorui, et al.
Published: (2025)
by: Wu, Xiaorui, et al.
Published: (2025)
SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision
by: Li, Zhaoxu, et al.
Published: (2025)
by: Li, Zhaoxu, et al.
Published: (2025)
Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
by: Liu, Fuxiao, et al.
Published: (2023)
by: Liu, Fuxiao, et al.
Published: (2023)
VERHallu: Evaluating and Mitigating Event Relation Hallucination in Video Large Language Models
by: Zhang, Zefan, et al.
Published: (2026)
by: Zhang, Zefan, et al.
Published: (2026)
SAKED: Mitigating Hallucination in Large Vision-Language Models via Stability-Aware Knowledge Enhanced Decoding
by: Li, Zhaoxu, et al.
Published: (2026)
by: Li, Zhaoxu, et al.
Published: (2026)
Importance-Aware Data Selection for Efficient LLM Instruction Tuning
by: Jiang, Tingyu, et al.
Published: (2025)
by: Jiang, Tingyu, et al.
Published: (2025)
Closing the Data Loop: Using OpenDataArena to Engineer Superior Training Datasets
by: Gao, Xin, et al.
Published: (2025)
by: Gao, Xin, et al.
Published: (2025)
RxnCaption: Reformulating Reaction Diagram Parsing as Visual Prompt Guided Captioning
by: Song, Jiahe, et al.
Published: (2025)
by: Song, Jiahe, et al.
Published: (2025)
FoundaBench: Evaluating Chinese Fundamental Knowledge Capabilities of Large Language Models
by: Li, Wei, et al.
Published: (2024)
by: Li, Wei, et al.
Published: (2024)
Envision: Benchmarking Unified Understanding & Generation for Causal World Process Insights
by: Tian, Juanxi, et al.
Published: (2025)
by: Tian, Juanxi, et al.
Published: (2025)
ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation
by: Sun, Siqi, et al.
Published: (2026)
by: Sun, Siqi, et al.
Published: (2026)
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
by: Xu, Yongxin, et al.
Published: (2024)
by: Xu, Yongxin, et al.
Published: (2024)
Mitigating Dialogue Hallucination for Large Vision Language Models via Adversarial Instruction Tuning
by: Park, Dongmin, et al.
Published: (2024)
by: Park, Dongmin, et al.
Published: (2024)
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning
by: Wu, Chenyuan, et al.
Published: (2024)
by: Wu, Chenyuan, et al.
Published: (2024)
MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion
by: Pei, Qizhi, et al.
Published: (2025)
by: Pei, Qizhi, et al.
Published: (2025)
Learning to Refuse: Refusal-Aware Reinforcement Fine-Tuning for Hard-Irrelevant Queries in Video Temporal Grounding
by: Lee, Jin-Seop, et al.
Published: (2025)
by: Lee, Jin-Seop, et al.
Published: (2025)
OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation
by: Huang, Qidong, et al.
Published: (2023)
by: Huang, Qidong, et al.
Published: (2023)
CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenges
by: Li, Yu, et al.
Published: (2025)
by: Li, Yu, et al.
Published: (2025)
Furina: Fragmented Uncertainty-Driven Refusal Instability Attack
by: Wu, Tongxi, et al.
Published: (2026)
by: Wu, Tongxi, et al.
Published: (2026)
Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training
by: Cao, Chuxue, et al.
Published: (2026)
by: Cao, Chuxue, et al.
Published: (2026)
Hallucination Detection and Hallucination Mitigation: An Investigation
by: Luo, Junliang, et al.
Published: (2024)
by: Luo, Junliang, et al.
Published: (2024)
Similar Items
-
Utilize the Flow before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction Tuning
by: Zhu, Runchuan, et al.
Published: (2024) -
Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question Answering
by: Jiang, Bowen, et al.
Published: (2025) -
PM4Bench: Benchmarking Large Vision-Language Models with Parallel Multilingual Multi-Modal Multi-task Corpus
by: Gao, Junyuan, et al.
Published: (2025) -
Retrieval Dexterity: Efficient Object Retrieval in Clutters with Dexterous Hand
by: Bai, Fengshuo, et al.
Published: (2025) -
Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning
by: Tang, Zinan, et al.
Published: (2025)