Kaya Stechly

According to our database, Kaya Stechly authored at least 11 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens.

Kaya Stechly, Karthik Valmeekam, Atharva Gundawar, Vardhan Palod, Subbarao Kambhampati

CoRR, May, 2025

RL in Name Only? Analyzing the Structural Assumptions in RL post-training for LLMs.

Soumya Rani Samineni, Durgesh Kalwar, Karthik Valmeekam, Kaya Stechly, Subbarao Kambhampati

CoRR, May, 2025

(How) Do reasoning models reason?

Subbarao Kambhampati, Kaya Stechly, Karthik Valmeekam

CoRR, April, 2025

A Systematic Evaluation of the Planning and Scheduling Abilities of the Reasoning Model o1.

Karthik Valmeekam, Kaya Stechly, Atharva Gundawar, Subbarao Kambhampati

Trans. Mach. Learn. Res., 2025

On the self-verification limitations of large language models on reasoning and planning tasks.

Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Planning in Strawberry Fields: Evaluating and Improving the Planning and Scheduling Capabilities of LRM o1.

Karthik Valmeekam, Kaya Stechly, Atharva Gundawar, Subbarao Kambhampati

CoRR, 2024

LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench.

Karthik Valmeekam, Kaya Stechly, Subbarao Kambhampati

CoRR, 2024

LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks.

Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Kaya Stechly, Mudit Verma, Siddhant Bhambri, Lucas Saldyt, Anil Murthy

CoRR, 2024

Chain of Thoughtlessness? An Analysis of CoT in Planning.

Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Position: LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks.

Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Mudit Verma, Kaya Stechly, Siddhant Bhambri, Lucas Saldyt, Anil Murthy

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems.

Kaya Stechly, Matthew Marquez, Subbarao Kambhampati

CoRR, 2023