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