LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable
Objectives

LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable Objectives

1 July 2024

Luísa Shimabucoro

Sebastian Ruder

Sara Hooker

Papers citing "LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable Objectives"

10 / 10 papers shown

Title
Humans or LLMs as the Judge? A Study on Judgement Biases Guiming Hardy Chen Shunian Chen Ziche Liu Feng Jiang Benyou Wang 77 92 0 16 Feb 2024
Model Collapse Demystified: The Case of Regression Elvis Dohmatob Yunzhen Feng Julia Kempe 34 32 0 12 Feb 2024
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning Shivalika Singh Freddie Vargus Daniel D'souza Börje F. Karlsson Abinaya Mahendiran ... Max Bartolo Julia Kreutzer A. Ustun Marzieh Fadaee Sara Hooker 117 115 0 09 Feb 2024
OLMo: Accelerating the Science of Language Models Dirk Groeneveld Iz Beltagy Pete Walsh Akshita Bhagia Rodney Michael Kinney ... Jesse Dodge Kyle Lo Luca Soldaini Noah A. Smith Hanna Hajishirzi OSLM 135 355 0 01 Feb 2024
Can Large Language Models Be an Alternative to Human Evaluations? Cheng-Han Chiang Hung-yi Lee ALM LM&MA 221 571 0 03 May 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 307 4,077 0 24 May 2022
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 308 11,915 0 04 Mar 2022
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 259 374 0 28 Feb 2021
Curriculum Learning: A Survey Petru Soviany Radu Tudor Ionescu Paolo Rota N. Sebe ODL 65 338 0 25 Jan 2021
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 277 1,587 0 18 Sep 2019