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When a language model is optimized for reasoning, does it still show
  embers of autoregression? An analysis of OpenAI o1

When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1

2 October 2024
R. Thomas McCoy
Shunyu Yao
Dan Friedman
Mathew D. Hardy
Thomas L. Griffiths
    LRM
ArXivPDFHTML

Papers citing "When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1"

5 / 5 papers shown
Title
LLM Agents Are Hypersensitive to Nudges
LLM Agents Are Hypersensitive to Nudges
Manuel Cherep
Pattie Maes
Nikhil Singh
15
0
0
16 May 2025
Evaluating GPT- and Reasoning-based Large Language Models on Physics Olympiad Problems: Surpassing Human Performance and Implications for Educational Assessment
Evaluating GPT- and Reasoning-based Large Language Models on Physics Olympiad Problems: Surpassing Human Performance and Implications for Educational Assessment
Paul Tschisgale
Holger Maus
Fabian Kieser
Ben Kroehs
Stefan Petersen
Peter Wulff
ELM
LRM
41
0
0
14 May 2025
Towards Contamination Resistant Benchmarks
Towards Contamination Resistant Benchmarks
Rahmatullah Musawi
Sheng Lu
42
0
0
13 May 2025
LogiDebrief: A Signal-Temporal Logic based Automated Debriefing Approach with Large Language Models Integration
LogiDebrief: A Signal-Temporal Logic based Automated Debriefing Approach with Large Language Models Integration
Zirong Chen
Ziyan An
Jennifer Reynolds
Kristin Mullen
Stephen Martini
Meiyi Ma
34
0
0
06 May 2025
What is a Number, That a Large Language Model May Know It?
What is a Number, That a Large Language Model May Know It?
Raja Marjieh
Veniamin Veselovsky
Thomas L. Griffiths
Ilia Sucholutsky
200
2
0
03 Feb 2025
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