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A Human-Computer Collaborative Tool for Training a Single Large Language
  Model Agent into a Network through Few Examples

A Human-Computer Collaborative Tool for Training a Single Large Language Model Agent into a Network through Few Examples

24 April 2024
Lihang Pan
Yuxuan Li
Chun Yu
Yuanchun Shi
    LLMAG
ArXiv (abs)PDFHTML

Papers citing "A Human-Computer Collaborative Tool for Training a Single Large Language Model Agent into a Network through Few Examples"

26 / 26 papers shown
Title
A Survey on Large Language Model based Human-Agent Systems
A Survey on Large Language Model based Human-Agent Systems
Henry Peng Zou
Wei-Chieh Huang
Yaozu Wu
Yankai Chen
Chunyu Miao
...
Yongbin Li
Dongyuan Li
Dongyuan Li
Xue Liu
Philip S. Yu
LLMAGLM&RoLM&MA
159
3
0
01 May 2025
Successive Prompting for Decomposing Complex Questions
Successive Prompting for Decomposing Complex Questions
Dheeru Dua
Shivanshu Gupta
Sameer Singh
Matt Gardner
ReLMLRM
94
118
0
08 Dec 2022
In-context Examples Selection for Machine Translation
In-context Examples Selection for Machine Translation
Sweta Agrawal
Chunting Zhou
M. Lewis
Luke Zettlemoyer
Marjan Ghazvininejad
LRM
92
198
0
05 Dec 2022
Breaking the Representation Bottleneck of Chinese Characters: Neural
  Machine Translation with Stroke Sequence Modeling
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling
Zhijun Wang
Xuebo Liu
Min Zhang
110
11
0
23 Nov 2022
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop
:
Teven Le Scao
Angela Fan
Christopher Akiki
...
Zhongli Xie
Zifan Ye
M. Bras
Younes Belkada
Thomas Wolf
VLM
397
2,392
0
09 Nov 2022
Active Example Selection for In-Context Learning
Active Example Selection for In-Context Learning
Yiming Zhang
Shi Feng
Chenhao Tan
SILMLRM
98
205
0
08 Nov 2022
Automatic Chain of Thought Prompting in Large Language Models
Automatic Chain of Thought Prompting in Large Language Models
Zhuosheng Zhang
Aston Zhang
Mu Li
Alexander J. Smola
ReLMLRM
150
632
0
07 Oct 2022
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Tushar Khot
H. Trivedi
Matthew Finlayson
Yao Fu
Kyle Richardson
Peter Clark
Ashish Sabharwal
ReLMLRM
121
451
0
05 Oct 2022
Selective Annotation Makes Language Models Better Few-Shot Learners
Selective Annotation Makes Language Models Better Few-Shot Learners
Hongjin Su
Jungo Kasai
Chen Henry Wu
Weijia Shi
Tianlu Wang
...
Rui Zhang
Mari Ostendorf
Luke Zettlemoyer
Noah A. Smith
Tao Yu
114
261
0
05 Sep 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function
  Classes
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
Shivam Garg
Dimitris Tsipras
Percy Liang
Gregory Valiant
139
513
0
01 Aug 2022
PaLM: Scaling Language Modeling with Pathways
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
...
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
PILMLRM
515
6,279
0
05 Apr 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Michael Ahn
Anthony Brohan
Noah Brown
Yevgen Chebotar
Omar Cortes
...
Ted Xiao
Peng Xu
Sichun Xu
Mengyuan Yan
Andy Zeng
LM&Ro
189
1,984
0
04 Apr 2022
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child
  Interactive Storytelling with Flexible Parental Involvement
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement
Zheng Zhang
Ying Xu
Yanhao Wang
Bingsheng Yao
Daniel E. Ritchie
Tongshuang Wu
Mo Yu
Dakuo Wang
Toby Jia-Jun Li
72
120
0
13 Feb 2022
Locating and Editing Factual Associations in GPT
Locating and Editing Factual Associations in GPT
Kevin Meng
David Bau
A. Andonian
Yonatan Belinkov
KELM
248
1,381
0
10 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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&RoLRMAI4CEReLM
823
9,576
0
28 Jan 2022
Learning To Retrieve Prompts for In-Context Learning
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin
Jonathan Herzig
Jonathan Berant
VPVLMRALM
86
707
0
16 Dec 2021
TransCouplet:Transformer based Chinese Couplet Generation
TransCouplet:Transformer based Chinese Couplet Generation
Kuan-Yu Chiang
Shihao Lin
Joe Chen
Qian Yin
Qizhen Jin
42
3
0
03 Dec 2021
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining
  Large Language Model Prompts
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts
Tongshuang Wu
Michael Terry
Carrie J. Cai
LLMAGAI4CELRM
105
460
0
04 Oct 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Albert Webson
Ellie Pavlick
LRM
109
372
0
02 Sep 2021
Knowledge Neurons in Pretrained Transformers
Knowledge Neurons in Pretrained Transformers
Damai Dai
Li Dong
Y. Hao
Zhifang Sui
Baobao Chang
Furu Wei
KELMMU
91
463
0
18 Apr 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAMLRALM
390
1,387
0
17 Jan 2021
"Brilliant AI Doctor" in Rural China: Tensions and Challenges in
  AI-Powered CDSS Deployment
"Brilliant AI Doctor" in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment
Dakuo Wang
Liuping Wang
Zhan Zhang
Ding Wang
Haiyi Zhu
Yvonne Gao
Xiangmin Fan
Feng Tian
94
145
0
04 Jan 2021
Fine-Tuning Language Models from Human Preferences
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
469
1,762
0
18 Sep 2019
Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game
  Level Editor Affects Creators
Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators
Matthew J. Guzdial
N. Liao
Jonathan Chen
Shao-Yu Chen
Shukan Shah
Vishwa Shah
Josh Reno
Gillian Smith
Mark O. Riedl
60
135
0
18 Jan 2019
A Neural Representation of Sketch Drawings
A Neural Representation of Sketch Drawings
David R Ha
Douglas Eck
113
868
0
11 Apr 2017
Mechanical Novel: Crowdsourcing Complex Work through Reflection and
  Revision
Mechanical Novel: Crowdsourcing Complex Work through Reflection and Revision
Joy Kim
S. Sterman
A. A. B. Cohen
Michael S. Bernstein
HAIAI4CE
42
88
0
08 Nov 2016
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