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Seeing More, Saying More: Lightweight Language Experts are Dynamic Video Token Compressors
Published in EMNLP 2025 Oral, 2025
LangDC is a language-aware dynamic token compressor for large video-language models, accepted as an EMNLP 2025 Oral paper.
Recommended citation: Xiangchen Wang, Jinrui Zhang, Teng Wang, Haigang Zhang, and Feng Zheng. (2025). "Seeing More, Saying More: Lightweight Language Experts are Dynamic Video Token Compressors." EMNLP 2025 Oral.
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NaVIDA: Vision-Language Navigation with Inverse Dynamics Augmentation
Published in arXiv, 2026
NaVIDA is a lightweight vision-language navigation framework that learns action-grounded visual dynamics with inverse dynamics supervision.
Recommended citation: Weiye Zhu, Zekai Zhang, Xiangchen Wang, Hewei Pan, Teng Wang, Tiantian Geng, Rongtao Xu, and Feng Zheng. (2026). "NaVIDA: Vision-Language Navigation with Inverse Dynamics Augmentation." arXiv:2601.18188.
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CAPruner: Conceptual-Adjacent Scene Graph Pruner for Enhancing 3D Spatial Reasoning of Large Language Models
Published in ACL 2026, 2026
CAPruner prunes 3D scene graphs by combining semantic relevance with spatial proximity to preserve task-critical relations.
Recommended citation: Shengli Zhou, Xiangchen Wang, Guanhua Chen, and Feng Zheng. (2026). "CAPruner: Conceptual-Adjacent Scene Graph Pruner for Enhancing 3D Spatial Reasoning of Large Language Models." ACL 2026.
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LiveVLN: Breaking the Stop-and-Go Loop in Vision-Language Navigation
Published in arXiv, 2026
LiveVLN is a training-free runtime framework that keeps actions continuously available during embodied vision-language navigation.
Recommended citation: Xiangchen Wang, Weiye Zhu, Teng Wang, TianTian Geng, Zekai Zhang, Zhiyuan Qi, Jinyu Yang, and Feng Zheng. (2026). "LiveVLN: Breaking the Stop-and-Go Loop in Vision-Language Navigation." arXiv:2604.19536.
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