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Language models show human-like content effects on reasoning tasks

Language models show human-like content effects on reasoning tasks

14 July 2022
Ishita Dasgupta
Andrew Kyle Lampinen
Stephanie C. Y. Chan
Hannah R. Sheahan
Antonia Creswell
D. Kumaran
James L. McClelland
Felix Hill
    ReLM
    LRM
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Papers citing "Language models show human-like content effects on reasoning tasks"

28 / 28 papers shown
Title
Geolocation with Real Human Gameplay Data: A Large-Scale Dataset and Human-Like Reasoning Framework
Geolocation with Real Human Gameplay Data: A Large-Scale Dataset and Human-Like Reasoning Framework
Zirui Song
Jingpu Yang
Yuan Huang
Jonathan Tonglet
Zeyu Zhang
Tao Cheng
Meng Fang
Iryna Gurevych
X. Chen
LRM
47
1
0
19 Feb 2025
Visual Agents as Fast and Slow Thinkers
Visual Agents as Fast and Slow Thinkers
Guangyan Sun
Mingyu Jin
Zhenting Wang
Cheng-Long Wang
Siqi Ma
Qifan Wang
Ying Nian Wu
Ying Nian Wu
Dongfang Liu
Dongfang Liu
LLMAG
LRM
63
11
0
16 Aug 2024
Disentangling Logic: The Role of Context in Large Language Model
  Reasoning Capabilities
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
Wenyue Hua
Kaijie Zhu
Lingyao Li
Lizhou Fan
Shuhang Lin
Mingyu Jin
Haochen Xue
Zelong Li
Jindong Wang
Yongfeng Zhang
LRM
42
8
0
04 Jun 2024
ACCORD: Closing the Commonsense Measurability Gap
ACCORD: Closing the Commonsense Measurability Gap
François Roewer-Després
Jinyue Feng
Zining Zhu
Frank Rudzicz
LRM
26
0
0
04 Jun 2024
Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
Jian-Qiao Zhu
Haijiang Yan
Thomas L. Griffiths
63
2
0
29 May 2024
Building Better AI Agents: A Provocation on the Utilisation of Persona
  in LLM-based Conversational Agents
Building Better AI Agents: A Provocation on the Utilisation of Persona in LLM-based Conversational Agents
Guangzhi Sun
Xiao Zhan
Jose Such
14
21
0
26 May 2024
From Frege to chatGPT: Compositionality in language, cognition, and deep
  neural networks
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
Jacob Russin
Sam Whitman McGrath
Danielle J. Williams
Lotem Elber-Dorozko
AI4CE
51
2
0
24 May 2024
Towards a Path Dependent Account of Category Fluency
Towards a Path Dependent Account of Category Fluency
David Heineman
Reba Koenen
Sashank Varma
14
0
0
09 May 2024
Semantic Sensitivities and Inconsistent Predictions: Measuring the
  Fragility of NLI Models
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
Erik Arakelyan
Zhaoqi Liu
Isabelle Augenstein
AAML
24
9
0
25 Jan 2024
Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models
Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models
Lucio La Cava
Andrea Tagarelli
LLMAG
AI4CE
46
12
0
13 Jan 2024
BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy
  and Reasoning Ability
BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability
Peter Clark
Bhavana Dalvi
Oyvind Tafjord
8
2
0
12 Dec 2023
Examining LLMs' Uncertainty Expression Towards Questions Outside
  Parametric Knowledge
Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge
Genglin Liu
Xingyao Wang
Lifan Yuan
Yangyi Chen
Hao Peng
14
15
0
16 Nov 2023
Divergences between Language Models and Human Brains
Divergences between Language Models and Human Brains
Yuchen Zhou
Emmy Liu
Graham Neubig
Michael J. Tarr
Leila Wehbe
16
1
0
15 Nov 2023
Instruction Tuning with Human Curriculum
Instruction Tuning with Human Curriculum
Bruce W. Lee
Hyunsoo Cho
Kang Min Yoo
17
3
0
14 Oct 2023
Large Language Model Displays Emergent Ability to Interpret Novel
  Literary Metaphors
Large Language Model Displays Emergent Ability to Interpret Novel Literary Metaphors
Nicholas Ichien
Duvsan Stamenković
K. Holyoak
LRM
14
4
0
03 Aug 2023
No Train No Gain: Revisiting Efficient Training Algorithms For
  Transformer-based Language Models
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
Jean Kaddour
Oscar Key
Piotr Nawrot
Pasquale Minervini
Matt J. Kusner
8
41
0
12 Jul 2023
Turning large language models into cognitive models
Turning large language models into cognitive models
Marcel Binz
Eric Schulz
10
52
0
06 Jun 2023
Playing repeated games with Large Language Models
Playing repeated games with Large Language Models
Elif Akata
Lion Schulz
Julian Coda-Forno
Seong Joon Oh
Matthias Bethge
Eric Schulz
395
117
0
26 May 2023
Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
Gibbeum Lee
Volker Hartmann
Jongho Park
Dimitris Papailiopoulos
Kangwook Lee
6
62
0
08 May 2023
Mind's Eye: Grounded Language Model Reasoning through Simulation
Mind's Eye: Grounded Language Model Reasoning through Simulation
Ruibo Liu
Jason W. Wei
S. Gu
Te-Yen Wu
Soroush Vosoughi
Claire Cui
Denny Zhou
Andrew M. Dai
ReLM
LRM
106
78
0
11 Oct 2022
Using cognitive psychology to understand GPT-3
Using cognitive psychology to understand GPT-3
Marcel Binz
Eric Schulz
ELM
LLMAG
228
435
0
21 Jun 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
291
2,712
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 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
315
8,261
0
28 Jan 2022
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based
  Bias in NLP
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick
Sahana Udupa
Hinrich Schütze
251
374
0
28 Feb 2021
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
Yuhuai Wu
M. Rabe
Wenda Li
Jimmy Ba
Roger C. Grosse
Christian Szegedy
AIMat
LRM
58
51
0
15 Jan 2021
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
391
2,216
0
03 Sep 2019
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