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Learning From Free-Text Human Feedback -- Collect New Datasets Or Extend
  Existing Ones?

Learning From Free-Text Human Feedback -- Collect New Datasets Or Extend Existing Ones?

24 October 2023
Dominic Petrak
N. Moosavi
Ye Tian
Nikolai Rozanov
Iryna Gurevych
ArXivPDFHTML

Papers citing "Learning From Free-Text Human Feedback -- Collect New Datasets Or Extend Existing Ones?"

6 / 6 papers shown
Title
Retrospective Learning from Interactions
Retrospective Learning from Interactions
Zizhao Chen
Mustafa Omer Gul
Yiwei Chen
Gloria Geng
Anne Wu
Yoav Artzi
LRM
28
1
0
17 Oct 2024
Soda-Eval: Open-Domain Dialogue Evaluation in the age of LLMs
Soda-Eval: Open-Domain Dialogue Evaluation in the age of LLMs
John Mendonça
Isabel Trancoso
A. Lavie
ALM
37
1
0
20 Aug 2024
On the Benchmarking of LLMs for Open-Domain Dialogue Evaluation
On the Benchmarking of LLMs for Open-Domain Dialogue Evaluation
John Mendonça
A. Lavie
Isabel Trancoso
ELM
43
2
0
04 Jul 2024
Aligning LLM Agents by Learning Latent Preference from User Edits
Aligning LLM Agents by Learning Latent Preference from User Edits
Ge Gao
Alexey Taymanov
Eduardo Salinas
Paul Mineiro
Dipendra Kumar Misra
LLMAG
37
27
0
23 Apr 2024
Training language models to follow instructions with human feedback
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
339
12,003
0
04 Mar 2022
A scalable framework for learning from implicit user feedback to improve
  natural language understanding in large-scale conversational AI systems
A scalable framework for learning from implicit user feedback to improve natural language understanding in large-scale conversational AI systems
Sunghyun Park
Han Li
Ameen Patel
Sidharth Mudgal
Sungjin Lee
Young-Bum Kim
Spyros Matsoukas
R. Sarikaya
69
20
0
23 Oct 2020
1