conftrace_

object hallucination

51 papers

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OH

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vision-language model (2348) large vision-language model (170) multimodal learning (4645) hallucination mitigation (320) multimodal large language model (966) visual grounding (518) large language model (13587) attention mechanism (4001) hallucination detection (530) contrastive decoding (59)

Papers

ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large Language Models CVPR 2025
Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens CVPR 2025
Multi-Frequency Contrastive Decoding: Alleviating Hallucinations for Large Vision-Language Models EMNLP 2025
Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models EMNLP 2025
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding NAACL 2025
ALOHa: A New Measure for Hallucination in Captioning Models NAACL 2024
Mitigating Object Hallucination via Concentric Causal Attention NIPS 2024
EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models EMNLP 2024
Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks NAACL 2024
Multi-Object Hallucination in Vision Language Models NIPS 2024
Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Models INTERSPEECH 2024
Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD) ACL 2024
Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models ACL 2024
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination EMNLP 2024
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models EMNLP 2024
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding CVPR 2024
GROUNDHOG: Grounding Large Language Models to Holistic Segmentation CVPR 2024
Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models NIPS 2024
Transferable Decoding with Visual Entities for Zero-Shot Image Captioning ICCV 2023
Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training EACL 2023
Evaluating Object Hallucination in Large Vision-Language Models EMNLP 2023
Let There Be a Clock on the Beach: Reducing Object Hallucination in Image Captioning WACV 2022
HOLM: Hallucinating Objects with Language Models for Referring Expression Recognition in Partially-Observed Scenes ACL 2022
“I’ve Seen Things You People Wouldn’t Believe”: Hallucinating Entities in GuessWhat?! ACL 2021
Consensus Graph Representation Learning for Better Grounded Image Captioning AAAI 2021