papers

asterisk (*) denotes equal contribution. generated by jekyll-scholar.

2025

  1. Planning in Strawberry Fields: Evaluating and Improving the Planning and Scheduling Capabilities fo LRM o1
    Karthik Valmeekam*Kaya Stechly*, and Subbarao Kambhampati
    Preprint, 2025

2024

  1. LLMs Still Can’t Plan; Can LRMs? A Preliminary Evaluation of OpenAI’s o1 on PlanBench
    Karthik Valmeekam*Kaya Stechly*, and Subbarao Kambhampati
    NeurIPS Open World Agents Workshop, 2024
  2. On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks
    Kaya Stechly*Karthik Valmeekam*, and Subbarao Kambhampati
    Preprint, 2024
  3. Chain of Thoughtlessness: An Analysis of CoT in Planning
    Kaya Stechly*Karthik Valmeekam*, and Subbarao Kambhampati
    NeurIPS, 2024
  4. LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworks
    Subbarao KambhampatiKarthik ValmeekamLin GuanKaya Stechly, and 4 more authors
    ICML, 2024

2023

  1. GPT-4 Doesn’t Know It’s Wrong: An Analysis of Iterative Prompting for Reasoning Problems
    Kaya Stechly, Matthew Marquez, and Subbarao Kambhampati
    NeurIPS Foundation Models for Decision Making Workshop, 2023