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Towards Boosting the Open-Domain Chatbot with Human Feedback

Towards Boosting the Open-Domain Chatbot with Human Feedback

Annual Meeting of the Association for Computational Linguistics (ACL), 2022
30 August 2022
Hua Lu
Siqi Bao
H. He
Fan Wang
Hua Wu
Haifeng Wang
    ALM
ArXiv (abs)PDFHTML

Papers citing "Towards Boosting the Open-Domain Chatbot with Human Feedback"

10 / 10 papers shown
Title
InFact: Informativeness Alignment for Improved LLM Factuality
InFact: Informativeness Alignment for Improved LLM Factuality
Roi Cohen
Russa Biswas
Gerard de Melo
177
1
0
26 May 2025
Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation
Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation
Yiwei Li
Fei Mi
Yitong Li
Yasheng Wang
Bin Sun
Shaoxiong Feng
Kan Li
141
9
0
12 Jun 2024
Compression Represents Intelligence Linearly
Compression Represents Intelligence Linearly
Yuzhen Huang
Jinghan Zhang
Zifei Shan
Junxian He
164
37
0
15 Apr 2024
UniRetriever: Multi-task Candidates Selection for Various
  Context-Adaptive Conversational Retrieval
UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval
Hongru Wang
Boyang Xue
Baohang Zhou
Rui Wang
Fei Mi
Weichao Wang
Yasheng Wang
Kam-Fai Wong
324
3
0
26 Feb 2024
Learning to love diligent trolls: Accounting for rater effects in the
  dialogue safety task
Learning to love diligent trolls: Accounting for rater effects in the dialogue safety taskConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
M. Ilagan
180
0
0
30 Oct 2023
The Past, Present and Better Future of Feedback Learning in Large
  Language Models for Subjective Human Preferences and Values
The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and ValuesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Hannah Rose Kirk
Andrew M. Bean
Bertie Vidgen
Paul Röttger
Scott A. Hale
ALM
319
60
0
11 Oct 2023
The Empty Signifier Problem: Towards Clearer Paradigms for
  Operationalising "Alignment" in Large Language Models
The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models
Hannah Rose Kirk
Bertie Vidgen
Paul Röttger
Scott A. Hale
339
9
0
03 Oct 2023
Personalisation within bounds: A risk taxonomy and policy framework for
  the alignment of large language models with personalised feedback
Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback
Hannah Rose Kirk
Bertie Vidgen
Paul Röttger
Scott A. Hale
257
123
0
09 Mar 2023
GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue
  Generation
GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue GenerationKnowledge Discovery and Data Mining (KDD), 2023
Jing Zhang
Yanling Wang
Daniel Zhang-Li
Jifan Yu
Zijun Yao
...
Xiaohan Zhang
Nianyi Lin
Sunrui Lu
Juan Li
Jie Tang
152
21
0
28 Feb 2023
PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation
PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation
Siqi Bao
H. He
Jun Xu
Hua Lu
Fan Wang
Hua Wu
Han Zhou
Wenquan Wu
Zheng-Yu Niu
Haifeng Wang
112
4
0
02 Nov 2022
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