M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretationby Jonggwon Park,…
Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Groundingby Kaijing Ma, Haojian Huang, Jin…
VHAKG: A Multi-modal Knowledge Graph Based on Synchronized Multi-view Videos of Daily Activitiesby Shusaku Egami,…
Dominating Set Reconfiguration with Answer Set Programmingby Masato Kato, Torsten Schaub, Takehide Soh, Naoyuki Tamura,…
The Cognitive Revolution in Interpretability: From Explaining Behavior to Interpreting Representations and Algorithmsby Adam Davies,…
An analysis of HOI: using a training-free method with multimodal visual foundation models when only…
Improving Large Language Model (LLM) fidelity through context-aware grounding: A systematic approach to reliability and…
VideoQA in the Era of LLMs: An Empirical Studyby Junbin Xiao, Nanxin Huang, Hangyu Qin,…
User-in-the-loop Evaluation of Multimodal LLMs for Activity Assistanceby Mrinal Verghese, Brian Chen, Hamid Eghbalzadeh, Tushar…
Visual Grounding for Object-Level Generalization in Reinforcement Learningby Haobin Jiang, Zongqing LuFirst submitted to arxiv…