Summary of Foundational Autoraters: Taming Large Language Models For Better Automatic Evaluation, by Tu Vu et al.
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluationby Tu Vu, Kalpesh Krishna, Salaheddin…
Summary of Metallm: a High-performant and Cost-efficient Dynamic Framework For Wrapping Llms, by Quang H. Nguyen et al.
MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMsby Quang H. Nguyen, Duy C.…
Summary of Cutting Through the Clutter: the Potential Of Llms For Efficient Filtration in Systematic Literature Reviews, by Lucas Joos et al.
Cutting Through the Clutter: The Potential of LLMs for Efficient Filtration in Systematic Literature Reviewsby…
Summary of Unveiling Disparities in Maternity Care: a Topic Modelling Approach to Analysing Maternity Incident Investigation Reports, by Georgina Cosma et al.
Unveiling Disparities in Maternity Care: A Topic Modelling Approach to Analysing Maternity Incident Investigation Reportsby…
Summary of Mj-bench: Is Your Multimodal Reward Model Really a Good Judge For Text-to-image Generation?, by Zhaorun Chen et al.
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?by Zhaorun Chen,…
Summary of Jailbreaking Llms with Arabic Transliteration and Arabizi, by Mansour Al Ghanim et al.
Jailbreaking LLMs with Arabic Transliteration and Arabiziby Mansour Al Ghanim, Saleh Almohaimeed, Mengxin Zheng, Yan…
Summary of Apigen: Automated Pipeline For Generating Verifiable and Diverse Function-calling Datasets, by Zuxin Liu et al.
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasetsby Zuxin Liu, Thai Hoang, Jianguo…
Summary of Large Language Models Assume People Are More Rational Than We Really Are, by Ryan Liu et al.
Large Language Models Assume People are More Rational than We Really areby Ryan Liu, Jiayi…
Summary of Autodetect: Towards a Unified Framework For Automated Weakness Detection in Large Language Models, by Jiale Cheng et al.
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Modelsby Jiale Cheng,…
Summary of Grapheval36k: Benchmarking Coding and Reasoning Capabilities Of Large Language Models on Graph Datasets, by Qiming Wu et al.
GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph Datasetsby Qiming Wu,…