Who is Helping Whom? Analyzing Inter-dependencies to Evaluate Cooperation in Human-AI Teaming

Authors: Biswas, Upasana, Bhambri, Siddhant, Kambhampati, Subbarao

Subject Terms: Computer Science - Multiagent Systems, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2502.06976

Robust Planning with Compound LLM Architectures: An LLM-Modulo Approach

Authors: Gundawar, Atharva, Valmeekam, Karthik, Verma, Mudit, Kambhampati, Subbarao

Subject Terms: Computer Science - Computation and Language, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2411.14484

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

Authors: Valmeekam, Karthik, Stechly, Kaya, Gundawar, Atharva, Kambhampati, Subbarao

Subject Terms: Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2410.02162

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

Authors: Valmeekam, Karthik, Stechly, Kaya, Kambhampati, Subbarao

Subject Terms: Computer Science - Artificial Intelligence, Computer Science - Computation and Language

Access URL: http://arxiv.org/abs/2409.13373

Algorithmic Language Models with Neurally Compiled Libraries

Authors: Saldyt, Lucas, Kambhampati, Subbarao

Subject Terms: Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Programming Languages

Access URL: http://arxiv.org/abs/2407.04899

Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Authors: Gundawar, Atharva, Verma, Mudit, Guan, Lin, Valmeekam, Karthik, Bhambri, Siddhant, Kambhampati, Subbarao

Subject Terms: Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2405.20625

Extracting Heuristics from Large Language Models for Reward Shaping in Reinforcement Learning

Authors: Bhambri, Siddhant, Bhattacharjee, Amrita, Kalwar, Durgesh, Guan, Lin, Liu, Huan, Kambhampati, Subbarao

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2405.15194

On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models

Authors: Verma, Mudit, Bhambri, Siddhant, Kambhampati, Subbarao

Subject Terms: Computer Science - Artificial Intelligence, Computer Science - Computation and Language

Access URL: http://arxiv.org/abs/2405.13966

Explainable Human-AI Interaction: A Planning Perspective

Authors: Sreedharan, Sarath, Kulkarni, Anagha, Kambhampati, Subbarao

Subject Terms: Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2405.15804

Chain of Thoughtlessness? An Analysis of CoT in Planning

Authors: Stechly, Kaya, Valmeekam, Karthik, Kambhampati, Subbarao

Subject Terms: Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2405.04776

Can Large Language Models Reason and Plan?

Authors: Kambhampati, Subbarao

Source: Annals of The New York Academy of Sciences; March 2024

Subject Terms: Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2403.04121

On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks

Authors: Stechly, Kaya, Valmeekam, Karthik, Kambhampati, Subbarao

Subject Terms: Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2402.08115

Task Success is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors

Authors: Guan, Lin, Zhou, Yifan, Liu, Denis, Zha, Yantian, Amor, Heni Ben, Kambhampati, Subbarao

Subject Terms: Computer Science - Artificial Intelligence, Computer Science - Robotics

Access URL: http://arxiv.org/abs/2402.04210

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

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

Source: Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024

Subject Terms: Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2402.01817

Theory of Mind abilities of Large Language Models in Human-Robot Interaction : An Illusion?

Authors: Verma, Mudit, Bhambri, Siddhant, Kambhampati, Subbarao

Subject Terms: Computer Science - Robotics, Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction

Access URL: http://arxiv.org/abs/2401.05302

Incorporating Human Flexibility through Reward Preferences in Human-AI Teaming

Authors: Bhambri, Siddhant, Verma, Mudit, Biswas, Upasana, Murthy, Anil, Kambhampati, Subbarao

Subject Terms: Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Multiagent Systems

Access URL: http://arxiv.org/abs/2312.14292

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

Authors: Stechly, Kaya, Marquez, Matthew, Kambhampati, Subbarao

Subject Terms: Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2310.12397

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

Authors: Valmeekam, Karthik, Marquez, Matthew, Kambhampati, Subbarao

Subject Terms: Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2310.08118

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Modeling the Interplay between Human Trust and Monitoring

Authors: Zahedi, Zahra, Sreedharan, Sarath, Verma, Mudit, Kambhampati, Subbarao

Source: 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI) Human-Robot Interaction (HRI), 2022 17th ACM/IEEE International Conference on. :1119-1123 Mar, 2022

Relation: 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)