Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errorsby Alex…
Automatic benchmarking of large multimodal models via iterative experiment programmingby Alessandro Conti, Enrico Fini, Paolo…
Should AI Optimize Your Code? A Comparative Study of Current Large Language Models Versus Classical…
Knowledge-to-Jailbreak: One Knowledge Point Worth One Attackby Shangqing Tu, Zhuoran Pan, Wenxuan Wang, Zhexin Zhang,…
ChatPCG: Large Language Model-Driven Reward Design for Procedural Content Generationby In-Chang Baek, Tae-Hwa Park, Jin-Ha…
Input Conditioned Graph Generation for Language Agentsby Lukas Vierling, Jie Fu, Kai ChenFirst submitted to…
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data…
Efficient Prompting for LLM-based Generative Internet of Thingsby Bin Xiao, Burak Kantarci, Jiawen Kang, Dusit…
Reactor Mk.1 performances: MMLU, HumanEval and BBH test resultsby TJ Dunham, Henry SyahputraFirst submitted to…
FoodSky: A Food-oriented Large Language Model that Passes the Chef and Dietetic Examinationby Pengfei Zhou,…