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20242026
most citedMitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding

2 citations · 2 across the 6 of their papers we have counts for

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6 papers

cs.CL2026

VIDA: A Dataset for Visually Dependent Ambiguity in Multimodal Machine Translation

Jingheng Pan, Xintong Wang, Longyue Wang +3

Ambiguity resolution is a key challenge in multimodal machine translation (MMT), where models must genuinely leverage visual input to map an ambiguous expression to its intended me…

cs.CV2025

Rethinking Multilingual Vision-Language Translation: Dataset, Evaluation, and Adaptation

Xintong Wang, Jingheng Pan, Yixiao Liu +8

Vision-Language Translation (VLT) is a challenging task that requires accurately recognizing multilingual text embedded in images and translating it into the target language with t…

cs.CV2025

MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space

Anshul Singh, Chris Biemann, Jan Strich

Vision-Language Models (VLMs) have demonstrated remarkable capabilities in interpreting visual layouts and text. However, a significant challenge remains in their ability to interp…

cs.CL2025

Chinese Toxic Language Mitigation via Sentiment Polarity Consistent Rewrites

Xintong Wang, Yixiao Liu, Jingheng Pan +3

Detoxifying offensive language while preserving the speaker's original intent is a challenging yet critical goal for improving the quality of online interactions. Although large la…

cs.CL2024

CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Models

Xintong Wang, Jingheng Pan, Liang Ding +4

Large Language Models (LLMs) achieve remarkable performance through pretraining on extensive data. This enables efficient adaptation to diverse downstream tasks. However, the lack…

cs.CV2024★ 2 cited

Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding

Xintong Wang, Jingheng Pan, Liang Ding +1

Large Vision-Language Models (LVLMs) are increasingly adept at generating contextually detailed and coherent responses from visual inputs. However, their application in multimodal…