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Karthik Valmeekam
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2020 – today
- 2024
- [c7]Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Mudit Verma, Kaya Stechly, Siddhant Bhambri, Lucas Saldyt, Anil Murthy:
Position: LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks. ICML 2024 - [i11]Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Kaya Stechly, Mudit Verma, Siddhant Bhambri, Lucas Saldyt, Anil Murthy:
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks. CoRR abs/2402.01817 (2024) - [i10]Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati:
On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks. CoRR abs/2402.08115 (2024) - [i9]Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati:
Chain of Thoughtlessness: An Analysis of CoT in Planning. CoRR abs/2405.04776 (2024) - [i8]Atharva Gundawar, Mudit Verma, Lin Guan, Karthik Valmeekam, Siddhant Bhambri, Subbarao Kambhampati:
Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning. CoRR abs/2405.20625 (2024) - 2023
- [c6]Lin Guan, Karthik Valmeekam, Subbarao Kambhampati:
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences. ICLR 2023 - [c5]Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati:
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning. NeurIPS 2023 - [c4]Karthik Valmeekam, Matthew Marquez, Alberto Olmo Hernandez, Sarath Sreedharan, Subbarao Kambhampati:
PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change. NeurIPS 2023 - [c3]Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati:
On the Planning Abilities of Large Language Models - A Critical Investigation. NeurIPS 2023 - [i7]Karthik Valmeekam, Sarath Sreedharan, Matthew Marquez, Alberto Olmo Hernandez, Subbarao Kambhampati:
On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark). CoRR abs/2302.06706 (2023) - [i6]Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati:
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning. CoRR abs/2305.14909 (2023) - [i5]Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati:
On the Planning Abilities of Large Language Models - A Critical Investigation. CoRR abs/2305.15771 (2023) - [i4]Karthik Valmeekam, Matthew Marquez, Subbarao Kambhampati:
Can Large Language Models Really Improve by Self-critiquing Their Own Plans? CoRR abs/2310.08118 (2023) - 2022
- [c2]Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati:
RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions. ICAPS 2022: 508-517 - [i3]Karthik Valmeekam, Alberto Olmo Hernandez, Sarath Sreedharan, Subbarao Kambhampati:
Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change). CoRR abs/2206.10498 (2022) - [i2]Lin Guan, Karthik Valmeekam, Subbarao Kambhampati:
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences. CoRR abs/2210.15906 (2022) - 2021
- [c1]Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati:
RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. AAAI 2021: 16051-16053 - 2020
- [i1]Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati:
RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. CoRR abs/2011.09644 (2020)
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