Copertina

Context-Aware Decoding for Faithful Vision-Language Generation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Fazli, Mehrdad, Wei, Bowen, Zhu, Ziwei
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration
di: Fazli, Mehrdad, et al.
Pubblicazione: (2025)

Long Context Transfer from Language to Vision
di: Zhang, Peiyuan, et al.
Pubblicazione: (2024)

ViSpec: Accelerating Vision-Language Models with Vision-Aware Speculative Decoding
di: Kang, Jialiang, et al.
Pubblicazione: (2025)

Context-Aware Autoregressive Models for Multi-Conditional Image Generation
di: Chen, Yixiao, et al.
Pubblicazione: (2025)

On the Faithfulness of Vision Transformer Explanations
di: Wu, Junyi, et al.
Pubblicazione: (2024)

Vision-Language Binding in In-Context Image Generation
di: Ge, Chris, et al.
Pubblicazione: (2026)

VideoSAVi: Self-Aligned Video Language Models without Human Supervision
di: Kulkarni, Yogesh, et al.
Pubblicazione: (2024)

VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness
di: Zheng, Dian, et al.
Pubblicazione: (2025)

FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models
di: Jing, Liqiang, et al.
Pubblicazione: (2023)

Histopathology Image Report Generation by Vision Language Model with Multimodal In-Context Learning
di: Liu, Shih-Wen, et al.
Pubblicazione: (2025)

Bridging Vision and Language for Robust Context-Aware Surgical Point Tracking: The VL-SurgPT Dataset and Benchmark
di: Zhou, Rulin, et al.
Pubblicazione: (2025)

Stencil: Subject-Driven Generation with Context Guidance
di: Chen, Gordon, et al.
Pubblicazione: (2025)

Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model
di: Nguyen, Duy M. H., et al.
Pubblicazione: (2024)

SAKED: Mitigating Hallucination in Large Vision-Language Models via Stability-Aware Knowledge Enhanced Decoding
di: Li, Zhaoxu, et al.
Pubblicazione: (2026)

Context Diffusion: In-Context Aware Image Generation
di: Najdenkoska, Ivona, et al.
Pubblicazione: (2023)

Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context
di: Wang, Zhaowei, et al.
Pubblicazione: (2026)

Towards Multimodal In-Context Learning for Vision & Language Models
di: Doveh, Sivan, et al.
Pubblicazione: (2024)

Evaluating Reasoning Faithfulness in Medical Vision-Language Models using Multimodal Perturbations
di: Moll, Johannes, et al.
Pubblicazione: (2025)

VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models
di: Qiu, Haoyi, et al.
Pubblicazione: (2024)

Large Vision-Language Models as Emotion Recognizers in Context Awareness
di: Lei, Yuxuan, et al.
Pubblicazione: (2024)

Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models
di: Liu, Ziwei, et al.
Pubblicazione: (2025)

Beyond Semantics: Rediscovering Spatial Awareness in Vision-Language Models
di: Qi, Jianing, et al.
Pubblicazione: (2025)

MMSpec: Benchmarking Speculative Decoding for Vision-Language Models
di: Shen, Hui, et al.
Pubblicazione: (2026)

IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding
di: Zhu, Lanyun, et al.
Pubblicazione: (2024)

ChartQA-X: Generating Explanations for Visual Chart Reasoning
di: Hegde, Shamanthak, et al.
Pubblicazione: (2025)

Negation-Aware Test-Time Adaptation for Vision-Language Models
di: Han, Haochen, et al.
Pubblicazione: (2025)

CASCADE: Context-Aware Relaxation for Speculative Image Decoding
di: Yildirim, Selin, et al.
Pubblicazione: (2026)

Context-Aware Token Selection and Packing for Enhanced Vision Transformer
di: Zhang, Tianyi, et al.
Pubblicazione: (2024)

Explanation-Driven Counterfactual Testing for Faithfulness in Vision-Language Model Explanations
di: Ding, Sihao, et al.
Pubblicazione: (2025)

Optimizing Vision-Language Interactions Through Decoder-Only Models
di: Tanaka, Kaito, et al.
Pubblicazione: (2024)

TraceVision: Trajectory-Aware Vision-Language Model for Human-Like Spatial Understanding
di: Yang, Fan, et al.
Pubblicazione: (2026)

Dynamic Context-Aware Scene Reasoning Using Vision-Language Alignment in Zero-Shot Real-World Scenarios
di: Rajiv, Manjunath Prasad Holenarasipura, et al.
Pubblicazione: (2025)

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model
di: Li, Yushu, et al.
Pubblicazione: (2024)

VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding
di: Li, Chaoyu, et al.
Pubblicazione: (2024)

Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models
di: Zhang, Ce, et al.
Pubblicazione: (2025)

IIR-VLM: In-Context Instance-level Recognition for Large Vision-Language Models
di: Shi, Liang, et al.
Pubblicazione: (2026)

Step-Level Visual Grounding Faithfulness Predicts Out-of-Distribution Generalization in Long-Horizon Vision-Language Models
di: Rahman, Md Ashikur, et al.
Pubblicazione: (2026)

FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting
di: Jiang, Liyao, et al.
Pubblicazione: (2024)

Modality-Agnostic fMRI Decoding of Vision and Language
di: Nikolaus, Mitja, et al.
Pubblicazione: (2024)

EgoVITA: Learning to Plan and Verify for Egocentric Video Reasoning
di: Kulkarni, Yogesh, et al.
Pubblicazione: (2025)