Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Position: LLMs can’t plan, but can help planning in LLM-modulo frameworks
Published in International Conference on Machine Learning (ICML) as Spotlight, 2024
This work proposes a novel neuro-symbolic approach for reliable planning with LLMs by having external model-based verifiers and critics in a bi-directional interaction regime.
Recommended citation: Kambhampati, S., Valmeekam, K., Guan, L., Verma, M., Stechly, K., Bhambri, S., ... & Murthy, A. B. (2024, June). Position: LLMs can’t plan, but can help planning in LLM-modulo frameworks. In Forty-first International Conference on Machine Learning.
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Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Incorporating Human Flexibility Through Reward Preferences in Human-AI Teaming
Published in Arxiv, 2024
This work establishes a human~Al preference-based reinforcement learning cooperation game where the RL agent queries the human-in»the-Ioop to elicit task objectives and human preferences on joint team behavior.
LLMs Need to Go Beyond Computational Confidence Metrics to Establish Trust
Published in AAAI 2025 Symposium on AI Trustworthiness and Risk Assessment for Challenged Contexts (ATRACC-25), 2025
Perspective Paper on highlighting the Insufficiency of Computational Assessments of Trust and the need for Human-Centered Evaluations of Trustworthiness in Generative AI Systems.
Recommended citation: B Murthy, A., & Sanneman, L. (2025). LLMs Need to Go Beyond Computational Confidence Metrics to Establish Trust. Proceedings of the AAAI Symposium Series, 7(1), 131-136. https://doi.org/10.1609/aaaiss.v7i1.36878
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Metrics for Holistic Evaluation of LLM Reasoning about Action, Change, and Planning
Published in NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Abilities, and Scaling, 2025
New informative Metrics for Evaluation of LLM Responses in Planning and Reasoning tasks.
Recommended citation: Murthy, A. B., Mink, J., & Sanneman, L. (2025). Metrics for holistic evaluation of LLM reasoning about action, change, and planning. In NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Abilities, and Scaling.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
CSE 571 Artificial Intelligence
Graduate-level Course in Artificial Intelligence, SCAI, Arizona State University, 2023
Instructor: Dr. Subbarao Kambhampati
Graduate Teaching Assistant for around 120 Students. Responsibilities involved Design of programming Assignments and grading schemes, holding Office Hours, Assessment, Review and Grading of exams, course coordination and logistics.
CSE 565 - Software Verification, Validation & Testing
Graduate-level Course, SCAI, Arizona State University, 2024
Instructors: Dr. James Collofello, Dr. Robert Lynn Carter, and Dr. Ayca Tuzmen
Graduate Teaching Associate for around 500 Students. Responsibilities involved Course instruction, holding Office Hours, Design of assignments and grading schemes, Review of exams and course coordination with grading staff.
AAAI Special Track on AI Alignment
Conference Program Committee, NeurIPS, 1900
ICML (International Conference on Machine Learning)
Conference Program Committee, ICML, 1900
NeurIPS (Neural Information Processing Systems)
Conference Program Committee, NeurIPS, 1900
Intro to Informatics
Undergraduate Course, SCAI, Arizona State University, 2023
Instructor: Dr. Dianne Hansford
Teaching Assistant for around 60 Students. Responsibilities involved holding office hours, project guidance, course assessment and grading. Topics covered Java, SQL, Web Design including HTML, CSS, D3.jS, and Game Development.