Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Modelsby Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran,…
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Modelsby Fei Wang,…
TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Databy Jeremy Andrew Irvin, Emily Ruoyu…
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI’s Potential Through…
MMMT-IF: A Challenging Multimodal Multi-Turn Instruction Following Benchmarkby Elliot L. Epstein, Kaisheng Yao, Jing Li,…
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Modelsby Matt Deitke, Christopher…
An Adaptive End-to-End IoT Security Framework Using Explainable AI and LLMsby Sudipto Baral, Sajal Saha,…
Training Language Models to Self-Correct via Reinforcement Learningby Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi…
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Typesby Neelabh Sinha,…
Enhancing LLM Problem Solving with REAP: Reflection, Explicit Problem Deconstruction, and Advanced Promptingby Ryan Lingo,…