contrastive decoding

Guiding Large Language Models for Biomedical Entity Linking via Restrictive and Contrastive Decoding EMNLP 2025 HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language Models ACL 2025 Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization ACL 2025 Making LVLMs Look Twice: Contrastive Decoding with Contrast Images ACL 2025 MaskCD: Mitigating LVLM Hallucinations by Image Head Masked Contrastive Decoding EMNLP 2025 MHBench: Demystifying Motion Hallucination in VideoLLMs AAAI 2025 Multi-Frequency Contrastive Decoding: Alleviating Hallucinations for Large Vision-Language Models EMNLP 2025 Octopus: Alleviating Hallucination via Dynamic Contrastive Decoding CVPR 2025 ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models ICCV 2025 PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality EMNLP 2025 Regularized Contrastive Decoding with Hard Negative Samples for LLM Hallucination Mitigation EMNLP 2025 Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models ACL 2025 SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding ICML 2025 Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models ICLR 2025 SUWMIT at BioLaySumm2025: Instruction-based Summarization with Contrastive Decoding ACL 2025 Uncertainty-Aware Contrastive Decoding ACL 2025 UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation ICLR 2025 Watermarking for Factuality: Guiding Vision-Language Models Toward Truth via Tri-layer Contrastive Decoding EMNLP 2025 When to Speak, When to Abstain: Contrastive Decoding with Abstention ACL 2025 Achieving Stronger Generation via Simple Contrastive Tuning EMNLP 2024 Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts EMNLP 2024 Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization NeurIPS 2024 Anti-LM Decoding for Zero-shot In-context Machine Translation NAACL 2024 CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models NeurIPS 2024 Contrastive Decoding Reduces Hallucinations in Large Multilingual Machine Translation Models EACL 2024