MALM: A Multi-Information Adapter for Large Language Models to Mitigate Hallucination
Fuente:
arXiv
Saved in:
| Main Authors: | Jia, Ao, Wu, Haiming, Yao, Guohui, Song, Dawei, Ji, Songkun, Zhang, Yazhou |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Credal Transformer: A Principled Approach for Quantifying and Mitigating Hallucinations in Large Language Models
by: Ji, Shihao, et al.
Published: (2025)
by: Ji, Shihao, et al.
Published: (2025)
Copy-Paste to Mitigate Large Language Model Hallucinations
by: Long, Yongchao, et al.
Published: (2025)
by: Long, Yongchao, et al.
Published: (2025)
Multi-stage Prompt Refinement for Mitigating Hallucinations in Large Language Models
by: Shim, Jung-Woo, et al.
Published: (2025)
by: Shim, Jung-Woo, et al.
Published: (2025)
An Evolutionary Large Language Model for Hallucination Mitigation
by: Boulesnane, Abdennour, et al.
Published: (2024)
by: Boulesnane, Abdennour, et al.
Published: (2024)
Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization
by: Wu, Jiulong, et al.
Published: (2025)
by: Wu, Jiulong, et al.
Published: (2025)
Theoretical Foundations and Mitigation of Hallucination in Large Language Models
by: Gumaan, Esmail
Published: (2025)
by: Gumaan, Esmail
Published: (2025)
Mitigating Multilingual Hallucination in Large Vision-Language Models
by: Qu, Xiaoye, et al.
Published: (2024)
by: Qu, Xiaoye, et al.
Published: (2024)
Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models
by: Feng, Yijun
Published: (2025)
by: Feng, Yijun
Published: (2025)
CPR: Mitigating Large Language Model Hallucinations with Curative Prompt Refinement
by: Shim, Jung-Woo, et al.
Published: (2025)
by: Shim, Jung-Woo, et al.
Published: (2025)
Delta -- Contrastive Decoding Mitigates Text Hallucinations in Large Language Models
by: Huang, Cheng Peng, et al.
Published: (2025)
by: Huang, Cheng Peng, et al.
Published: (2025)
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
by: Khadangi, Afshin, et al.
Published: (2025)
by: Khadangi, Afshin, et al.
Published: (2025)
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification
by: Kang, Haoqiang, et al.
Published: (2023)
by: Kang, Haoqiang, et al.
Published: (2023)
HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language Models
by: Jiang, Xinyan, et al.
Published: (2025)
by: Jiang, Xinyan, et al.
Published: (2025)
Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images
by: You, Liangliang, et al.
Published: (2025)
by: You, Liangliang, et al.
Published: (2025)
ANAH: Analytical Annotation of Hallucinations in Large Language Models
by: Ji, Ziwei, et al.
Published: (2024)
by: Ji, Ziwei, et al.
Published: (2024)
Commander-GPT: Fully Unleashing the Sarcasm Detection Capability of Multi-Modal Large Language Models
by: Zhang, Yazhou, et al.
Published: (2025)
by: Zhang, Yazhou, et al.
Published: (2025)
Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization
by: Tang, Zilu, et al.
Published: (2025)
by: Tang, Zilu, et al.
Published: (2025)
Beyond the Speculative Game: A Survey of Speculative Execution in Large Language Models
by: Zhang, Chen, et al.
Published: (2024)
by: Zhang, Chen, et al.
Published: (2024)
Alleviating Hallucinations of Large Language Models through Induced Hallucinations
by: Zhang, Yue, et al.
Published: (2023)
by: Zhang, Yue, et al.
Published: (2023)
Hallucination Detection and Hallucination Mitigation: An Investigation
by: Luo, Junliang, et al.
Published: (2024)
by: Luo, Junliang, et al.
Published: (2024)
Mitigating Hallucinations in Large Language Models via Causal Reasoning
by: Li, Yuangang, et al.
Published: (2025)
by: Li, Yuangang, et al.
Published: (2025)
Hal-Eval: A Universal and Fine-grained Hallucination Evaluation Framework for Large Vision Language Models
by: Jiang, Chaoya, et al.
Published: (2024)
by: Jiang, Chaoya, et al.
Published: (2024)
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models
by: Yuan, Hongbang, et al.
Published: (2024)
by: Yuan, Hongbang, et al.
Published: (2024)
Multi-Persona Thinking for Bias Mitigation in Large Language Models
by: Chen, Yuxing, et al.
Published: (2026)
by: Chen, Yuxing, et al.
Published: (2026)
HAVE: Head-Adaptive Gating and ValuE Calibration for Hallucination Mitigation in Large Language Models
by: Tong, Xin, et al.
Published: (2025)
by: Tong, Xin, et al.
Published: (2025)
Beyond Fine-Tuning: Effective Strategies for Mitigating Hallucinations in Large Language Models for Data Analytics
by: Rumiantsau, Mikhail, et al.
Published: (2024)
by: Rumiantsau, Mikhail, et al.
Published: (2024)
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
by: Gu, Yuzhe, et al.
Published: (2024)
by: Gu, Yuzhe, et al.
Published: (2024)
Confidence-Aware Routing for Large Language Model Reliability Enhancement: A Multi-Signal Approach to Pre-Generation Hallucination Mitigation
by: M, Nandakishor
Published: (2025)
by: M, Nandakishor
Published: (2025)
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
by: Mündler, Niels, et al.
Published: (2023)
by: Mündler, Niels, et al.
Published: (2023)
Confabulation: The Surprising Value of Large Language Model Hallucinations
by: Sui, Peiqi, et al.
Published: (2024)
by: Sui, Peiqi, et al.
Published: (2024)
Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations
by: Yu, Lei, et al.
Published: (2024)
by: Yu, Lei, et al.
Published: (2024)
Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models
by: Chen, Xinlong, et al.
Published: (2025)
by: Chen, Xinlong, et al.
Published: (2025)
Chain of Stance: Stance Detection with Large Language Models
by: Ma, Junxia, et al.
Published: (2024)
by: Ma, Junxia, et al.
Published: (2024)
Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective
by: Sun, Zhongxiang, et al.
Published: (2025)
by: Sun, Zhongxiang, 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)
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
by: Lv, Qitan, et al.
Published: (2024)
by: Lv, Qitan, et al.
Published: (2024)
Mitigating Hallucination in Large Language Models (LLMs): An Application-Oriented Survey on RAG, Reasoning, and Agentic Systems
by: Li, Yihan, et al.
Published: (2025)
by: Li, Yihan, et al.
Published: (2025)
Maintaining Informative Coherence: Migrating Hallucinations in Large Language Models via Absorbing Markov Chains
by: Wu, Jiemin, et al.
Published: (2024)
by: Wu, Jiemin, et al.
Published: (2024)
Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models
by: Liu, Qiang, et al.
Published: (2025)
by: Liu, Qiang, et al.
Published: (2025)
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
by: Zhong, Weihong, et al.
Published: (2024)
by: Zhong, Weihong, et al.
Published: (2024)
Similar Items
-
Credal Transformer: A Principled Approach for Quantifying and Mitigating Hallucinations in Large Language Models
by: Ji, Shihao, et al.
Published: (2025) -
Copy-Paste to Mitigate Large Language Model Hallucinations
by: Long, Yongchao, et al.
Published: (2025) -
Multi-stage Prompt Refinement for Mitigating Hallucinations in Large Language Models
by: Shim, Jung-Woo, et al.
Published: (2025) -
An Evolutionary Large Language Model for Hallucination Mitigation
by: Boulesnane, Abdennour, et al.
Published: (2024) -
Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization
by: Wu, Jiulong, et al.
Published: (2025)