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Levels of Analysis for Large Language Models
v1v2 (latest)

Levels of Analysis for Large Language Models

17 March 2025
Alexander Ku
Declan Campbell
Xuechunzi Bai
Jiayi Geng
Ryan Liu
Raja Marjieh
R. Thomas McCoy
Andrew Nam
Ilia Sucholutsky
Veniamin Veselovsky
Liyi Zhang
Jian-Qiao Zhu
Thomas L. Griffiths
    ELM
ArXiv (abs)PDFHTML

Papers citing "Levels of Analysis for Large Language Models"

11 / 11 papers shown
Title
The Other Mind: How Language Models Exhibit Human Temporal Cognition
The Other Mind: How Language Models Exhibit Human Temporal Cognition
Lingyu Li
Yang Yao
Yixu Wang
Chubo Li
Yan Teng
Y. Wang
117
1
0
21 Jul 2025
Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems
Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems
Jiayi Geng
Howard Chen
Dilip Arumugam
Thomas L. Griffiths
262
3
0
23 May 2025
Continuity and Isolation Lead to Doubts or Dilemmas in Large Language Models
Continuity and Isolation Lead to Doubts or Dilemmas in Large Language Models
Hector Pasten
Felipe Urrutia
Hector Jimenez
Cristian B. Calderon
Cristóbal Rojas
Chris Köcher
270
0
0
15 May 2025
Implicit In-Context Learning: Evidence from Artificial Language Experiments
Implicit In-Context Learning: Evidence from Artificial Language Experiments
Xiaomeng Ma
Qihui Xu
ReLM
301
0
0
31 Mar 2025
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
Yukang Yang
Declan Campbell
Kaixuan Huang
Mengdi Wang
Jonathan D. Cohen
Taylor Webb
LRM
408
14
0
27 Feb 2025
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
Subhash Kantamneni
Joshua Engels
Senthooran Rajamanoharan
Max Tegmark
Neel Nanda
312
39
0
23 Feb 2025
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI
Daya Guo
Dejian Yang
Haowei Zhang
Junxiao Song
...
Shiyu Wang
S. Yu
Shunfeng Zhou
Shuting Pan
S.S. Li
ReLMVLMOffRLAI4TSLRM
1.0K
5,096
0
22 Jan 2025
A Flexible Method for Behaviorally Measuring Alignment Between Human and Artificial Intelligence Using Representational Similarity Analysis
A Flexible Method for Behaviorally Measuring Alignment Between Human and Artificial Intelligence Using Representational Similarity Analysis
Mattson Ogg
Ritwik Bose
Jamie Scharf
Christopher Ratto
Michael Wolmetz
362
3
0
30 Nov 2024
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem
Understanding the Limits of Vision Language Models Through the Lens of the Binding ProblemNeural Information Processing Systems (NeurIPS), 2024
Declan Campbell
Sunayana Rane
Tyler Giallanza
Nicolò De Sabbata
Kia Ghods
...
Alexander Ku
Steven M. Frankland
Thomas Griffiths
Jonathan D. Cohen
Taylor W. Webb
349
49
0
31 Oct 2024
Large Language Models Assume People are More Rational than We Really are
Large Language Models Assume People are More Rational than We Really are
Ryan Liu
Jiayi Geng
Joshua C. Peterson
Ilia Sucholutsky
Thomas Griffiths
388
33
0
24 Jun 2024
Incoherent Probability Judgments in Large Language Models
Incoherent Probability Judgments in Large Language Models
Jian-Qiao Zhu
Thomas Griffiths
277
14
0
30 Jan 2024
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