Matthew Marquez

According to our database, Matthew Marquez authored at least 6 papers between 2022 and 2023.

Collaborative distances:

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

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

Can Large Language Models Really Improve by Self-critiquing Their Own Plans?

Karthik Valmeekam, Matthew Marquez, Subbarao Kambhampati

CoRR, 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

On the Planning Abilities of Large Language Models - A Critical Investigation.

Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion.

Utkarsh Soni, Sarath Sreedharan, Mudit Verma, Lin Guan, Matthew Marquez, Subbarao Kambhampati

CoRR, 2022