Co-occurring keywords · papers mentioning both
Papers
3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding
CVPR 2026
5ting at SemEval-2026 Task 8: Strong End-to-End Multi-Turn RAG via LLM-Based Reranking and Faithfulness Control
SemEval 2026
AdaIAT: Adaptively Increasing Attention to Generated Text to Alleviate Hallucinations in LVLM
CVPR 2026
Anatomical Region-Guided Contrastive Decoding: A Plug-and-Play Strategy for Mitigating Hallucinations in Medical VLMs
AAAI 2026
Anchoring the Cache: Mitigating Contextual Hallucination in KV-Compressed Long-Context Summarization
ACL 2026
ART: Attention Replacement Technique to Improve Factuality in LLMs
ACL 2026
Awakening Dormant Experts:Counterfactual Routing to Mitigate MoE Hallucinations
ACL 2026
Beyond Surface Features: Advancing Medical Vision-Language Alignment via Dynamic Evidence-Guided Preference Optimization
ACL 2026
CausalLens: Sensitivity-Guided Multi-Head Causal Intervention for Hallucination Mitigation in Large Vision-Language Models
CVPR 2026
Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation
AAAI 2026
CEBC: Conformal Evidence-Bounded Control for Low-Hallucination Vision–Language Generation
ACL 2026
Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models
AAAI 2026
COPO: Causal-Oriented Policy Optimization for Hallucinations of MLLMs
CVPR 2026
Cross-Modal Attention Calibration for LVLM Hallucination Mitigation
CVPR 2026
Dehallu3D: Hallucination-Mitigated 3D Generation from a Single Image via Cyclic View Consistency Refinement
CVPR 2026
Do Retrieval Augmented Language Models Know When They Don’t Know?
AAAI 2026
DUTIR at SemEval-2026 Task 8: A Hybrid Retrieval and Faithfulness-Guarded Framework for Multi-Turn RAG
SemEval 2026
EchoBat: Echo-Vision Enhancement and Echo-Layered Sampling for Video LLMs Hallucination Mitigation
AAAI 2026
Envision, Attend, Then Respond: Counterfactual Hallucination Mitigation in Large Vision-Language Models
CVPR 2026
ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation
AAAI 2026
Eywa: Automating Model-Based Testing using LLMs
NSDI 2026
Faithful in Steps: Improving Generalization and Citation in RAG via Query Decomposition
AAAI 2026
FINER: MLLMs Hallucinate under Fine-grained Negative Queries
CVPR 2026
GlitchCleaner: Lightweight Glitch Tokens Repairing by Lossless Gated LoRA in Large Language Models
AAAI 2026
Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models
AAAI 2026