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Unlocking Large Language Model's Planning Capabilities with Maximum Diversity Fine-tuning

Unlocking Large Language Model's Planning Capabilities with Maximum Diversity Fine-tuning

15 June 2024
Wenjun Li
Changyu Chen
Pradeep Varakantham
ArXivPDFHTML

Papers citing "Unlocking Large Language Model's Planning Capabilities with Maximum Diversity Fine-tuning"

4 / 4 papers shown
Title
Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for
  Instruction Fine-Tuning
Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning
Hao Zhao
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
ALM
79
41
0
07 Feb 2024
FireAct: Toward Language Agent Fine-tuning
FireAct: Toward Language Agent Fine-tuning
Baian Chen
Chang Shu
Ehsan Shareghi
Nigel Collier
Karthik Narasimhan
Shunyu Yao
ALM
LLMAG
96
96
0
09 Oct 2023
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
208
2,413
0
06 Oct 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&Ro
LRM
AI4CE
ReLM
313
8,261
0
28 Jan 2022
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