Evaluating the Efficacy of Foundational Models: Advancing Benchmarking Practices to Enhance Fine-Tuning Decision-Making

25 June 2024

Papers citing "Evaluating the Efficacy of Foundational Models: Advancing Benchmarking Practices to Enhance Fine-Tuning Decision-Making"

7 / 7 papers shown

Title
Joint Detection of Fraud and Concept Drift inOnline Conversations with LLM-Assisted Judgment Ali Şenol Garima Agrawal Huan Liu 24 0 0 07 May 2025
From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap Gopi Krishnan Rajbahadur G. Oliva Dayi Lin Ahmed E. Hassan 46 1 0 28 Jan 2025
Gemma: Open Models Based on Gemini Research and Technology Gemma Team Gemma Team Thomas Mesnard Cassidy Hardin Robert Dadashi Surya Bhupatiraju ... Armand Joulin Noah Fiedel Evan Senter Alek Andreev Kathleen Kenealy VLM LLMAG 131 431 0 13 Mar 2024
On a Foundation Model for Operating Systems Divyanshu Saxena Nihal Sharma Donghyun Kim Rohit Dwivedula Jiayi Chen ... Alex Dimakis P. B. Godfrey Daehyeok Kim Chris Rossbach Gang Wang 47 2 0 13 Dec 2023
Multimodal Foundation Models: From Specialists to General-Purpose Assistants Chunyuan Li Zhe Gan Zhengyuan Yang Jianwei Yang Linjie Li Lijuan Wang Jianfeng Gao MLLM 115 228 0 18 Sep 2023
Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM Family Yiming Tan Dehai Min Y. Li Wenbo Li Nan Hu Yongrui Chen Guilin Qi AI4MH ELM 49 95 0 14 Mar 2023
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,956 0 20 Apr 2018