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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"

2 / 2 papers shown
Title
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
32
0
0
14 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
29
0
0
06 May 2025
1