Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Zhang, Yuji, Li, Sha, Liu, Jiateng, Yu, Pengfei, Fung, Yi R., Li, Jing, Li, Manling, Ji, Heng |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination
par: Zhang, Yuji, et autres
Publié: (2025)
par: Zhang, Yuji, et autres
Publié: (2025)
EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries
par: Liu, Jiateng, et autres
Publié: (2024)
par: Liu, Jiateng, et autres
Publié: (2024)
ADEPT: A DEbiasing PrompT Framework
par: Yang, Ke, et autres
Publié: (2022)
par: Yang, Ke, et autres
Publié: (2022)
Why Does New Knowledge Create Messy Ripple Effects in LLMs?
par: Qin, Jiaxin, et autres
Publié: (2024)
par: Qin, Jiaxin, et autres
Publié: (2024)
ActiShade: Activating Overshadowed Knowledge to Guide Multi-Hop Reasoning in Large Language Models
par: Ma, Huipeng, et autres
Publié: (2026)
par: Ma, Huipeng, et autres
Publié: (2026)
EMCompress: Video-LLMs with Endomorphic Multimodal Compression
par: Fan, Zheyu, et autres
Publié: (2025)
par: Fan, Zheyu, et autres
Publié: (2025)
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents
par: Yang, Ke, et autres
Publié: (2024)
par: Yang, Ke, et autres
Publié: (2024)
MACAROON: Training Vision-Language Models To Be Your Engaged Partners
par: Wu, Shujin, et autres
Publié: (2024)
par: Wu, Shujin, et autres
Publié: (2024)
Establishing Knowledge Preference in Language Models
par: Zhou, Sizhe, et autres
Publié: (2024)
par: Zhou, Sizhe, et autres
Publié: (2024)
Word Embeddings Are Steers for Language Models
par: Han, Chi, et autres
Publié: (2023)
par: Han, Chi, et autres
Publié: (2023)
MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders
par: Li, Cheng, et autres
Publié: (2024)
par: Li, Cheng, et autres
Publié: (2024)
Enhancing Speech Large Language Models through Reinforced Behavior Alignment
par: Liu, Yansong, et autres
Publié: (2025)
par: Liu, Yansong, et autres
Publié: (2025)
Prompt-Guided Internal States for Hallucination Detection of Large Language Models
par: Zhang, Fujie, et autres
Publié: (2024)
par: Zhang, Fujie, et autres
Publié: (2024)
Information Association for Language Model Updating by Mitigating LM-Logical Discrepancy
par: Yu, Pengfei, et autres
Publié: (2023)
par: Yu, Pengfei, et autres
Publié: (2023)
CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models
par: Qian, Cheng, et autres
Publié: (2023)
par: Qian, Cheng, et autres
Publié: (2023)
Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis
par: Huang, Haoming, et autres
Publié: (2025)
par: Huang, Haoming, et autres
Publié: (2025)
Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
par: Pan, Zhenyu, et autres
Publié: (2024)
par: Pan, Zhenyu, et autres
Publié: (2024)
LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation
par: Xuan, Keyang, et autres
Publié: (2024)
par: Xuan, Keyang, et autres
Publié: (2024)
A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation
par: Yu, Jifan, et autres
Publié: (2024)
par: Yu, Jifan, et autres
Publié: (2024)
TEXT2DB: Integration-Aware Information Extraction with Large Language Model Agents
par: Jiao, Yizhu, et autres
Publié: (2025)
par: Jiao, Yizhu, et autres
Publié: (2025)
Scalable Token-Level Hallucination Detection in Large Language Models
par: Min, Rui, et autres
Publié: (2026)
par: Min, Rui, et autres
Publié: (2026)
Precision Knowledge Editing: Enhancing Safety in Large Language Models
par: Li, Xuying, et autres
Publié: (2024)
par: Li, Xuying, et autres
Publié: (2024)
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
par: Lv, Qitan, et autres
Publié: (2024)
par: Lv, Qitan, et autres
Publié: (2024)
SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering
par: Guo, Xuehang, et autres
Publié: (2025)
par: Guo, Xuehang, et autres
Publié: (2025)
Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action
par: Pan, Zhenyu, et autres
Publié: (2024)
par: Pan, Zhenyu, et autres
Publié: (2024)
Knowledge Distillation of Black-Box Large Language Models
par: Chen, Hongzhan, et autres
Publié: (2024)
par: Chen, Hongzhan, et autres
Publié: (2024)
Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking
par: Fung, Yi, et autres
Publié: (2024)
par: Fung, Yi, et autres
Publié: (2024)
R-Tuning: Instructing Large Language Models to Say `I Don't Know'
par: Zhang, Hanning, et autres
Publié: (2023)
par: Zhang, Hanning, et autres
Publié: (2023)
SmartBook: AI-Assisted Situation Report Generation for Intelligence Analysts
par: Reddy, Revanth Gangi, et autres
Publié: (2023)
par: Reddy, Revanth Gangi, et autres
Publié: (2023)
AutoHall: Automated Factuality Hallucination Dataset Generation for Large Language Models
par: Cao, Zouying, et autres
Publié: (2023)
par: Cao, Zouying, et autres
Publié: (2023)
Micro-Macro Retrieval: Reducing Long-Form Hallucination in Large Language Models
par: Feng, Yujie, et autres
Publié: (2026)
par: Feng, Yujie, et autres
Publié: (2026)
Identifying Knowledge Editing Types in Large Language Models
par: Li, Xiaopeng, et autres
Publié: (2024)
par: Li, Xiaopeng, et autres
Publié: (2024)
Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations
par: Lu, Yifan, et autres
Publié: (2025)
par: Lu, Yifan, et autres
Publié: (2025)
Visually Descriptive Language Model for Vector Graphics Reasoning
par: Wang, Zhenhailong, et autres
Publié: (2024)
par: Wang, Zhenhailong, et autres
Publié: (2024)
Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning
par: Wang, Shengyuan, et autres
Publié: (2025)
par: Wang, Shengyuan, et autres
Publié: (2025)
Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models
par: Li, Chaozhuo, et autres
Publié: (2025)
par: Li, Chaozhuo, et autres
Publié: (2025)
Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models
par: Lovenia, Holy, et autres
Publié: (2023)
par: Lovenia, Holy, et autres
Publié: (2023)
Bridging External and Parametric Knowledge: Mitigating Hallucination of LLMs with Shared-Private Semantic Synergy in Dual-Stream Knowledge
par: Sui, Yi, et autres
Publié: (2025)
par: Sui, Yi, et autres
Publié: (2025)
Mitigating Hallucinations in Large Language Models via Causal Reasoning
par: Li, Yuangang, et autres
Publié: (2025)
par: Li, Yuangang, et autres
Publié: (2025)
How Large Language Models Balance Internal Knowledge with User and Document Assertions
par: Li, Shuowei, et autres
Publié: (2026)
par: Li, Shuowei, et autres
Publié: (2026)
Documents similaires
-
The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination
par: Zhang, Yuji, et autres
Publié: (2025) -
EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries
par: Liu, Jiateng, et autres
Publié: (2024) -
ADEPT: A DEbiasing PrompT Framework
par: Yang, Ke, et autres
Publié: (2022) -
Why Does New Knowledge Create Messy Ripple Effects in LLMs?
par: Qin, Jiaxin, et autres
Publié: (2024) -
ActiShade: Activating Overshadowed Knowledge to Guide Multi-Hop Reasoning in Large Language Models
par: Ma, Huipeng, et autres
Publié: (2026)