Summary of Understanding Egfr Trajectories and Kidney Function Decline Via Large Multimodal Models, by Chih-yuan Li et al.
Understanding eGFR Trajectories and Kidney Function Decline via Large Multimodal Modelsby Chih-Yuan Li, Jun-Ting Wu,…
Summary of On the Benefits Of Memory For Modeling Time-dependent Pdes, by Ricardo Buitrago Ruiz et al.
On the Benefits of Memory for Modeling Time-Dependent PDEsby Ricardo Buitrago Ruiz, Tanya Marwah, Albert…
Summary of Toward Large-scale Spiking Neural Networks: a Comprehensive Survey and Future Directions, by Yangfan Hu et al.
Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directionsby Yangfan Hu, Qian Zheng,…
Summary of Lasp: Surveying the State-of-the-art in Large Language Model-assisted Ai Planning, by Haoming Li and Zhaoliang Chen and Jonathan Zhang and Fei Liu
LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planningby Haoming Li, Zhaoliang Chen, Jonathan…
Summary of When Does Visual Prompting Outperform Linear Probing For Vision-language Models? a Likelihood Perspective, by Hsi-ai Tsao et al.
When Does Visual Prompting Outperform Linear Probing for Vision-Language Models? A Likelihood Perspectiveby Hsi-Ai Tsao,…
Summary of Towards Human-level Understanding Of Complex Process Engineering Schematics: a Pedagogical, Introspective Multi-agent Framework For Open-domain Question Answering, by Sagar Srinivas Sakhinana et al.
Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain…
Summary of Physics Of Language Models: Part 2.2, How to Learn From Mistakes on Grade-school Math Problems, by Tian Ye et al.
Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problemsby…
Summary of Instruct-skillmix: a Powerful Pipeline For Llm Instruction Tuning, by Simran Kaur et al.
Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuningby Simran Kaur, Simon Park, Anirudh Goyal, Sanjeev…
Summary of Unveiling the Statistical Foundations Of Chain-of-thought Prompting Methods, by Xinyang Hu et al.
Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methodsby Xinyang Hu, Fengzhuo Zhang, Siyu Chen, Zhuoran…
Summary of Reprogramming Foundational Large Language Models(llms) For Enterprise Adoption For Spatio-temporal Forecasting Applications: Unveiling a New Era in Copilot-guided Cross-modal Time Series Representation Learning, by Sakhinana Sagar Srinivas et al.
Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New…