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Violation of Expectation via Metacognitive Prompting Reduces Theory of
  Mind Prediction Error in Large Language Models

Violation of Expectation via Metacognitive Prompting Reduces Theory of Mind Prediction Error in Large Language Models

10 October 2023
Courtland Leer
Vincent Trost
Vineeth Voruganti
ArXivPDFHTML

Papers citing "Violation of Expectation via Metacognitive Prompting Reduces Theory of Mind Prediction Error in Large Language Models"

4 / 4 papers shown
Title
Can Generative Agents Predict Emotion?
Can Generative Agents Predict Emotion?
Ciaran Regan
Nanami Iwahashi
Shogo Tanaka
Mizuki Oka
24
0
0
06 Feb 2024
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
267
2,494
0
06 Oct 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
328
4,077
0
24 May 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
395
8,559
0
28 Jan 2022
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