Summary of Concept-skill Transferability-based Data Selection For Large Vision-language Models, by Jaewoo Lee et al.
Concept-skill Transferability-based Data Selection for Large Vision-Language Modelsby Jaewoo Lee, Boyang Li, Sung Ju HwangFirst…
Concept-skill Transferability-based Data Selection for Large Vision-Language Modelsby Jaewoo Lee, Boyang Li, Sung Ju HwangFirst…
LLAVIDAL: A Large LAnguage VIsion Model for Daily Activities of Livingby Dominick Reilly, Rajatsubhra Chakraborty,…
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FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Modelsby Rui Ye, Rui Ge, Xinyu…
Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courtsby Shubham…
Mamba State-Space Models Are Lyapunov-Stable Learnersby John T. Halloran, Manbir Gulati, Paul F. RoysdonFirst submitted…
From Symbolic Tasks to Code Generation: Diversification Yields Better Task Performersby Dylan Zhang, Justin Wang,…
Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Groundingby Shenghuan Sun, Alexander Schubert, Gregory M. Goldgof,…
Why are Visually-Grounded Language Models Bad at Image Classification?by Yuhui Zhang, Alyssa Unell, Xiaohan Wang,…
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Modelsby Chankyu Lee, Rajarshi Roy, Mengyao…