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LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error

LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error

7 March 2024
Boshi Wang
Hao Fang
Jason Eisner
Benjamin Van Durme
Yu-Chuan Su
    CLL
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Papers citing "LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error"

10 / 10 papers shown
Title
CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices
CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices
Varatheepan Paramanayakam
Andreas Karatzas
Iraklis Anagnostopoulos
Dimitrios Stamoulis
34
0
0
29 Apr 2025
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
Changle Qu
Sunhao Dai
Xiaochi Wei
Hengyi Cai
Shuaiqiang Wang
Dawei Yin
Jun Xu
Ji-Rong Wen
51
9
0
10 Oct 2024
Learning Evolving Tools for Large Language Models
Learning Evolving Tools for Large Language Models
Guoxin Chen
Zhong Zhang
Xin Cong
Fangda Guo
Yesai Wu
Yankai Lin
Wenzheng Feng
Yasheng Wang
KELM
52
1
0
09 Oct 2024
LLM With Tools: A Survey
LLM With Tools: A Survey
Zhuocheng Shen
25
8
0
24 Sep 2024
Tool Learning with Large Language Models: A Survey
Tool Learning with Large Language Models: A Survey
Changle Qu
Sunhao Dai
Xiaochi Wei
Hengyi Cai
Shuaiqiang Wang
Dawei Yin
Jun Xu
Jirong Wen
LLMAG
31
77
0
28 May 2024
Almanac Copilot: Towards Autonomous Electronic Health Record Navigation
Almanac Copilot: Towards Autonomous Electronic Health Record Navigation
C. Zakka
Joseph Cho
Gracia Fahed
R. Shad
Michael Moor
...
Vishnu Ravi
Oliver Aalami
Roxana Daneshjou
Akshay Chaudhari
W. Hiesinger
19
0
0
30 Apr 2024
Walking Down the Memory Maze: Beyond Context Limit through Interactive
  Reading
Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading
Howard Chen
Ramakanth Pasunuru
Jason Weston
Asli Celikyilmaz
RALM
68
72
0
08 Oct 2023
Fine-tuned Language Models are Continual Learners
Fine-tuned Language Models are Continual Learners
Thomas Scialom
Tuhin Chakrabarty
Smaranda Muresan
CLL
LRM
134
116
0
24 May 2022
Constrained Language Models Yield Few-Shot Semantic Parsers
Constrained Language Models Yield Few-Shot Semantic Parsers
Richard Shin
C. H. Lin
Sam Thomson
Charles C. Chen
Subhro Roy
Emmanouil Antonios Platanios
Adam Pauls
Dan Klein
J. Eisner
Benjamin Van Durme
287
196
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
AAML
RALM
275
1,296
0
17 Jan 2021
1