RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. - Karthik Valmeekam; Sarath Sreedharan; Sailik Sengupta; Subbarao Kambhampati (AAAI, 2021)

RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions. - Karthik Valmeekam; Sarath Sreedharan; Sailik Sengupta; Subbarao Kambhampati (ICAPS, 2022)

Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change). - Karthik Valmeekam; Alberto Olmo Hernandez; Sarath Sreedharan; Subbarao Kambhampati (CoRR, 2022)

Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences. - Lin Guan 003; Karthik Valmeekam; Subbarao Kambhampati (ICLR, 2023)

Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning. - Lin Guan 003; Karthik Valmeekam; Sarath Sreedharan; Subbarao Kambhampati (NeurIPS, 2023)

PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change. - Karthik Valmeekam; Matthew Marquez; Alberto Olmo Hernandez; Sarath Sreedharan; Subbarao Kambhampati (NeurIPS, 2023)

On the Planning Abilities of Large Language Models - A Critical Investigation. - Karthik Valmeekam; Matthew Marquez; Sarath Sreedharan; Subbarao Kambhampati (NeurIPS, 2023)

On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark). - Karthik Valmeekam; Sarath Sreedharan; Matthew Marquez; Alberto Olmo Hernandez; Subbarao Kambhampati (CoRR, 2023)

Can Large Language Models Really Improve by Self-critiquing Their Own Plans? - Karthik Valmeekam; Matthew Marquez; Subbarao Kambhampati (CoRR, 2023)

Position: LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks. - Subbarao Kambhampati; Karthik Valmeekam; Lin Guan 003; Mudit Verma; Kaya Stechly; Siddhant Bhambri; Lucas Saldyt; Anil Murthy (ICML, 2024)

Chain of Thoughtlessness? An Analysis of CoT in Planning. - Kaya Stechly; Karthik Valmeekam; Subbarao Kambhampati (NeurIPS, 2024)

LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks. - Subbarao Kambhampati; Karthik Valmeekam; Lin Guan 003; Kaya Stechly; Mudit Verma; Siddhant Bhambri; Lucas Saldyt; Anil Murthy (CoRR, 2024)

Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning. - Atharva Gundawar; Mudit Verma; Lin Guan 003; Karthik Valmeekam; Siddhant Bhambri; 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)

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)

Robust Planning with Compound LLM Architectures: An LLM-Modulo Approach. - Atharva Gundawar; Karthik Valmeekam; Mudit Verma; Subbarao Kambhampati (CoRR, 2024)

On the self-verification limitations of large language models on reasoning and planning tasks. - Kaya Stechly; Karthik Valmeekam; Subbarao Kambhampati (ICLR, 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)

(How) Do reasoning models reason? - Subbarao Kambhampati; Kaya Stechly; Karthik Valmeekam (CoRR, 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, 2025)

Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens. - Kaya Stechly; Karthik Valmeekam; Atharva Gundawar; Vardhan Palod; Subbarao Kambhampati (CoRR, 2025)