Summary of Demystifying Large Language Models For Medicine: a Primer, by Qiao Jin et al.
Demystifying Large Language Models for Medicine: A Primerby Qiao Jin, Nicholas Wan, Robert Leaman, Shubo…
Demystifying Large Language Models for Medicine: A Primerby Qiao Jin, Nicholas Wan, Robert Leaman, Shubo…
ReasonAgain: Using Extractable Symbolic Programs to Evaluate Mathematical Reasoningby Xiaodong Yu, Ben Zhou, Hao Cheng,…
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generationby Christopher T.H Teo, Milad Abdollahzadeh, Xinda Ma,…
TAGE: Trustworthy Attribute Group Editing for Stable Few-shot Image Generationby Ruicheng Zhang, Guoheng Huang, Yejing…
Lightweight Neural App Controlby Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun…
Benchmarking Foundation Models on Exceptional Cases: Dataset Creation and Validationby Suho Kang, Jungyang Park, Joonseo…
Key Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrasesby Anna Glazkova, Dmitry Morozov,…
TP-Eval: Tap Multimodal LLMs’ Potential in Evaluation by Customizing Promptsby Yuxuan Xie, Tianhua Li, Wenqi…
In Context Learning and Reasoning for Symbolic Regression with Large Language Modelsby Samiha Sharlin, Tyler…
SouLLMate: An Application Enhancing Diverse Mental Health Support with Adaptive LLMs, Prompt Engineering, and RAG…