Benchmarking Large Language Model Capabilities for Conditional
Generation

Benchmarking Large Language Model Capabilities for Conditional Generation

29 June 2023

Priyanka Agrawal

Sebastian Gehrmann

Papers citing "Benchmarking Large Language Model Capabilities for Conditional Generation"

8 / 8 papers shown

Title
Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance Borui Xu Yao Chen Zeyi Wen Weiguo Liu Bingsheng He 91 1 0 02 Feb 2025
TableMaster: A Recipe to Advance Table Understanding with Language Models Lang Cao Hanbing Liu LMTD RALM 341 1 1 31 Jan 2025
Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories Hikaru Asano Ryo Yonetani Taiki Sekii Hiroki Ouchi 77 0 0 19 Sep 2024
MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset Weiqi Wang Yangqiu Song LRM 40 9 0 04 Jun 2024
Confronting Reward Model Overoptimization with Constrained RLHF Ted Moskovitz Aaditya K. Singh DJ Strouse Tuomas Sandholm Ruslan Salakhutdinov Anca D. Dragan Stephen Marcus McAleer 59 48 0 06 Oct 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 454 12,150 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 450 8,727 0 28 Jan 2022
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Sebastian Gehrmann Tosin Adewumi Karmanya Aggarwal Pawan Sasanka Ammanamanchi Aremu Anuoluwapo ... Nishant Subramani Wei Xu Diyi Yang Akhila Yerukola Jiawei Zhou VLM 260 285 0 02 Feb 2021