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Structured, flexible, and robust: benchmarking and improving large
  language models towards more human-like behavior in out-of-distribution
  reasoning tasks

Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks

11 May 2022
K. M. Collins
Catherine Wong
Jiahai Feng
Megan Wei
J. Tenenbaum
    LRM
ArXivPDFHTML

Papers citing "Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks"

10 / 10 papers shown
Title
Distinguishing AI-Generated and Human-Written Text Through Psycholinguistic Analysis
Distinguishing AI-Generated and Human-Written Text Through Psycholinguistic Analysis
Chidimma Opara
DeLMO
32
0
0
03 May 2025
A Survey of AI Agent Protocols
A Survey of AI Agent Protocols
Y. Yang
Huacan Chai
Y. Song
S. Qi
Muning Wen
...
Gaowei Chang
W. Liu
Ying Wen
Yong Yu
W. Zhang
LLMAG
56
1
0
23 Apr 2025
Testing the limits of fine-tuning to improve reasoning in vision language models
Testing the limits of fine-tuning to improve reasoning in vision language models
Luca M. Schulze Buschoff
Konstantinos Voudouris
Elif Akata
Matthias Bethge
Joshua B. Tenenbaum
Eric Schulz
LRM
VLM
Presented at ResearchTrend Connect | VLM on 14 Mar 2025
113
0
1
24 Feb 2025
Large Language Models and Cognitive Science: A Comprehensive Review of
  Similarities, Differences, and Challenges
Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges
Qian Niu
Junyu Liu
Ziqian Bi
Pohsun Feng
Benji Peng
...
Ming Li
Lawrence KQ Yan
Yichao Zhang
Caitlyn Heqi Yin
Cheng Fei
25
13
0
04 Sep 2024
People use fast, goal-directed simulation to reason about novel games
People use fast, goal-directed simulation to reason about novel games
Cedegao E. Zhang
Katherine M. Collins
L. Wong
Adrian Weller
Adrian Weller
Joshua B. Tenenbaum
LRM
24
0
0
19 Jul 2024
PDDLEGO: Iterative Planning in Textual Environments
PDDLEGO: Iterative Planning in Textual Environments
Li Zhang
Peter Alexander Jansen
Tianyi Zhang
Peter Clark
Chris Callison-Burch
Niket Tandon
LM&Ro
13
4
0
30 May 2024
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large
  Language Models
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models
Wei He
Shichun Liu
Jun Zhao
Yiwen Ding
Yi Lu
Zhiheng Xi
Tao Gui
Qi Zhang
Xuanjing Huang
29
1
0
01 Apr 2024
Distilling Script Knowledge from Large Language Models for Constrained
  Language Planning
Distilling Script Knowledge from Large Language Models for Constrained Language Planning
Siyu Yuan
Jiangjie Chen
Ziquan Fu
Xuyang Ge
Soham Shah
C. R. Jankowski
Yanghua Xiao
Deqing Yang
25
46
0
09 May 2023
Dissociating language and thought in large language models
Dissociating language and thought in large language models
Kyle Mahowald
Anna A. Ivanova
I. Blank
Nancy Kanwisher
J. Tenenbaum
Evelina Fedorenko
ELM
ReLM
13
205
0
16 Jan 2023
Skill Induction and Planning with Latent Language
Skill Induction and Planning with Latent Language
Pratyusha Sharma
Antonio Torralba
Jacob Andreas
LM&Ro
178
108
0
04 Oct 2021
1