collaborators

5 papers

cs.CV2026

Overthinking Causes Hallucination: Tracing Confounder Propagation in Vision Language Models

Abin Shoby, Ta Duc Huy, Tuan Dung Nguyen +6

Vision Language models (VLMs) often hallucinate non-existent objects. Detecting hallucination is analogous to detecting deception: a single final statement is insufficient, one mus…

cs.CV2026

Localizing Before Answering: A Hallucination Evaluation Benchmark for Grounded Medical Multimodal LLMs

Dung Nguyen, Minh Khoi Ho, Huy Ta +11

Medical Large Multi-modal Models (LMMs) have demonstrated remarkable capabilities in medical data interpretation. However, these models frequently generate hallucinations contradic…

cs.LG2026

Chem4DLLM: 4D Multimodal LLMs for Chemical Dynamics Understanding

Xinyu Li, Zhen Zhang, Qi Chen +3

Existing chemical understanding tasks primarily rely on static molecular representations, limiting their ability to model inherently dynamic phenomena such as bond breaking or conf…

cs.LG2026

DualSpec: Accelerating Deep Research Agents via Dual-Process Action Speculation

Shuzhang Zhong, Baotong Lu, Qi Chen +3

Large language model-based deep research agents have been increasingly popular for addressing long-horizon information-seeking tasks, but they often incur high end-to-end latency d…

cs.CV2025

Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding

Ta Duc Huy, Duy Anh Huynh, Yutong Xie +10

Visual grounding (VG) is the capability to identify the specific regions in an image associated with a particular text description. In medical imaging, VG enhances interpretability…