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Xiangchen Wang

2 accepted papers

2026

ActiveVLN: Towards Active Exploration Via Multi-Turn RL in Vision-And-Language Navigation

ICRA 2026poster

The Vision-and-Language Navigation (VLN) task requires an agent to follow natural language instructions and navigate through complex environments. Existing MLLM-based VLN methods primarily rely on imitation learning (IL) and often use DAgger for post-training to mitigate covariate shift. While effec…

2025

Seeing More, Saying More: Lightweight Language Experts are Dynamic Video Token Compressors

EMNLP 2025

Recent advancements in large video-language models have revolutionized video understanding tasks. However, their efficiency is significantly constrained by processing high volumes of visual tokens. Existing token compression strategies apply a fixed compression ratio, ignoring the variability in sem