LANCET: Neural Intervention via Structural Entropy for Mitigating Faithfulness Hallucinations in LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Chenxu, Li, Chaozhuo, Wang, Pengbo, Zhang, Litian, Liu, Songyang, Qi, Ji, Hu, Jiahui, Cai, Yushan, Zhao, Hao, Pu, Rui |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
One SPACE to Rule Them All: Jointly Mitigating Factuality and Faithfulness Hallucinations in LLMs
by: Wang, Pengbo, et al.
Published: (2025)
by: Wang, Pengbo, et al.
Published: (2025)
How Real is Your Jailbreak? Fine-grained Jailbreak Evaluation with Anchored Reference
by: Liu, Songyang, et al.
Published: (2026)
by: Liu, Songyang, et al.
Published: (2026)
Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models
by: Li, Chaozhuo, et al.
Published: (2025)
by: Li, Chaozhuo, et al.
Published: (2025)
MirrorShield: Towards Universal Defense Against Jailbreaks via Entropy-Guided Mirror Crafting
by: Pu, Rui, et al.
Published: (2025)
by: Pu, Rui, et al.
Published: (2025)
Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs
by: Pu, Rui, et al.
Published: (2024)
by: Pu, Rui, et al.
Published: (2024)
Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning
by: Pu, Rui, et al.
Published: (2025)
by: Pu, Rui, et al.
Published: (2025)
Thinking, Faithful and Stable: Mitigating Hallucinations in LLMs
by: Zou, Chelsea, et al.
Published: (2025)
by: Zou, Chelsea, et al.
Published: (2025)
The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs
by: Liu, Songyang, et al.
Published: (2025)
by: Liu, Songyang, et al.
Published: (2025)
The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies
by: Wang, Chenxu, et al.
Published: (2026)
by: Wang, Chenxu, et al.
Published: (2026)
Mitigating Large Language Model Hallucination with Faithful Finetuning
by: Hu, Minda, et al.
Published: (2024)
by: Hu, Minda, et al.
Published: (2024)
ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers
by: Liu, Songyang, et al.
Published: (2026)
by: Liu, Songyang, et al.
Published: (2026)
Bridging External and Parametric Knowledge: Mitigating Hallucination of LLMs with Shared-Private Semantic Synergy in Dual-Stream Knowledge
by: Sui, Yi, et al.
Published: (2025)
by: Sui, Yi, et al.
Published: (2025)
Jailbreaking LLMs & VLMs: Mechanisms, Evaluation, and Unified Defense
by: Chen, Zejian, et al.
Published: (2026)
by: Chen, Zejian, et al.
Published: (2026)
FaithLens: Detecting and Explaining Faithfulness Hallucination
by: Si, Shuzheng, et al.
Published: (2025)
by: Si, Shuzheng, et al.
Published: (2025)
Diffusion with a Linguistic Compass: Steering the Generation of Clinically Plausible Future sMRI Representations for Early MCI Conversion Prediction
by: Tang, Zhihao, et al.
Published: (2025)
by: Tang, Zhihao, et al.
Published: (2025)
LLMs are Introvert
by: Zhang, Litian, et al.
Published: (2025)
by: Zhang, Litian, et al.
Published: (2025)
Securing Computer-Use Agents: A Unified Architecture-Lifecycle Framework for Deployment-Grounded Reliability
by: Chen, Zejian, et al.
Published: (2026)
by: Chen, Zejian, et al.
Published: (2026)
From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in Large Reasoning Models via Decoupled Reasoning and Control
by: Ha, Rui, et al.
Published: (2025)
by: Ha, Rui, et al.
Published: (2025)
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection
by: Zhou, Ziyi, et al.
Published: (2025)
by: Zhou, Ziyi, et al.
Published: (2025)
Tracing and Mitigating Hallucinations in Multimodal LLMs via Dynamic Attention Localization
by: Yang, Tiancheng, et al.
Published: (2025)
by: Yang, Tiancheng, et al.
Published: (2025)
HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs
by: Li, Qing, et al.
Published: (2025)
by: Li, Qing, et al.
Published: (2025)
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation
by: Liang, Yuxin, et al.
Published: (2024)
by: Liang, Yuxin, et al.
Published: (2024)
FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs
by: Bao, Forrest Sheng, et al.
Published: (2024)
by: Bao, Forrest Sheng, et al.
Published: (2024)
Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS
by: Yan, Bingyu, et al.
Published: (2025)
by: Yan, Bingyu, et al.
Published: (2025)
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models
by: Huang, Yanwen, et al.
Published: (2025)
by: Huang, Yanwen, et al.
Published: (2025)
Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding
by: Xu, Zhongxing, et al.
Published: (2026)
by: Xu, Zhongxing, et al.
Published: (2026)
Segmentation-Based Attention Entropy: Detecting and Mitigating Object Hallucinations in Large Vision-Language Models
by: Song, Jiale, et al.
Published: (2026)
by: Song, Jiale, et al.
Published: (2026)
Teaming LLMs to Detect and Mitigate Hallucinations
by: Till, Demian, et al.
Published: (2025)
by: Till, Demian, et al.
Published: (2025)
Semantic Faithfulness and Entropy Production Measures to Tame Your LLM Demons and Manage Hallucinations
by: Halperin, Igor
Published: (2025)
by: Halperin, Igor
Published: (2025)
FaithSCAN: Model-Driven Single-Pass Hallucination Detection for Faithful Visual Question Answering
by: Tong, Chaodong, et al.
Published: (2026)
by: Tong, Chaodong, et al.
Published: (2026)
Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering
by: Cai, Jianfeng, et al.
Published: (2025)
by: Cai, Jianfeng, et al.
Published: (2025)
Detecting Out-of-Distribution Through the Lens of Neural Collapse
by: Liu, Litian, et al.
Published: (2023)
by: Liu, Litian, et al.
Published: (2023)
Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs
by: Simhi, Adi, et al.
Published: (2024)
by: Simhi, Adi, et al.
Published: (2024)
Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs
by: Yu, Liu, et al.
Published: (2025)
by: Yu, Liu, et al.
Published: (2025)
Understanding and Mitigating Hallucinations in Multimodal Chain-of-Thought Models
by: Ma, Ji, et al.
Published: (2026)
by: Ma, Ji, et al.
Published: (2026)
Text-Guided Layer Fusion Mitigates Hallucination in Multimodal LLMs
by: Lin, Chenchen, et al.
Published: (2026)
by: Lin, Chenchen, et al.
Published: (2026)
INFACT: A Diagnostic Benchmark for Induced Faithfulness and Factuality Hallucinations in Video-LLMs
by: Yang, Junqi, et al.
Published: (2026)
by: Yang, Junqi, et al.
Published: (2026)
MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training
by: You, Xinxin, et al.
Published: (2025)
by: You, Xinxin, et al.
Published: (2025)
A Concise Review of Hallucinations in LLMs and their Mitigation
by: Pulkundwar, Parth, et al.
Published: (2025)
by: Pulkundwar, Parth, et al.
Published: (2025)
Mitigating Object Hallucinations via Sentence-Level Early Intervention
by: Peng, Shangpin, et al.
Published: (2025)
by: Peng, Shangpin, et al.
Published: (2025)
Similar Items
-
One SPACE to Rule Them All: Jointly Mitigating Factuality and Faithfulness Hallucinations in LLMs
by: Wang, Pengbo, et al.
Published: (2025) -
How Real is Your Jailbreak? Fine-grained Jailbreak Evaluation with Anchored Reference
by: Liu, Songyang, et al.
Published: (2026) -
Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models
by: Li, Chaozhuo, et al.
Published: (2025) -
MirrorShield: Towards Universal Defense Against Jailbreaks via Entropy-Guided Mirror Crafting
by: Pu, Rui, et al.
Published: (2025) -
Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs
by: Pu, Rui, et al.
Published: (2024)