I was born in Hyderabad, India but my childhood was shaped by two vastly different places; the sub-tropical highlands of Addis Ababa, Ethiopia (from K.G. to 5th Grade) and the sun-scorching deserts of Ibra, Oman (5th to 10th Grade).
Whereever I went, I carried my love for stories and thought of myself as a storyteller.
After my frivolous attempt at cracking the JEE, I joined Vellore Institute of Technology to explore and tell
stories about Computers and Algorithms.
During my Masters at Arizona State University, I discovered that rigorously formalized ideas are great stories
to tell!
That drove me to pursue research under the guidance of Prof. Subbarao Kambhampati.
Currently, my world revolves around Large Language Models (LLMs) and Planning. While many were caught up in the hype of LLMs’ supposed planning capabilities—or panicking about them taking over the world—I was busy helping my group cut through the noise and ground the conversation. My efforts earned me the prestigious IBM PhD Fellowship Award (2024) in recognition of my work on the reasoning and planning abilities of LLMs.
When I’m not immersed in research, I channel my creativity into screenwriting, dancing, photography, and playing the keyboard. I also enjoy listening to a wide variety of music, ranging from heavy metal to carnatic ragas.
Jan 01, 2025 | Recipient of the 2024 IBM PhD Fellowship Award! Thanks to IBM Research for this recognition of my ongoing work on the planning/reasoning abilities of LLMs. |
---|---|
Sept 25, 2024 | "Chain of thoughtlessness? An Analysis of CoT in Planning" has been accepted to NeurIPS 2024 as a poster! |
Sept 23, 2024 | New preprint about OpenAI's o1 () evaluation on PlanBench is now available on arXiv |
May 1, 2024 | "LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks" has been accepted to ICML 2024 as a Spotlight Position Paper! |
Tempe, Arizona, US.
PhD in Computer Science.
GPA* 4.0/4.0
Graduate Research Assistant at Yochan under Prof.
Subbarao Kambhampati
Tempe, Arizona, US.
M.S. in Computer Science.
GPA 4.0/4.0
Graduate Research Assistant at Yochan under Prof. Subbarao Kambhampati
Thesis: A Study of Explainable Decision Support for Longitudinal Sequential Decision Making
Vellore, Tamilnadu, India.
B.Tech. in Computer Science and Engineering.
GPA 9.19/10.0
Research Aide under Prof. Anuradha J
Vice-Chair Management of Codechef-VIT
Hyderabad, Telangana, India.
Intermediate (11th & 12th Std).
Percentage: 95.1%
Programming Languages | Python, C++, JavaScript, HTML/CSS, SQL, Bash, SAP-ABAP |
---|---|
Frameworks | HuggingFace Transformers, LoRA PEFT, Flask, Bootstrap, jQuery, D3.js, Pytorch, Tensorflow, Keras, OpenCV, ROS |
Tools | Git, Docker, Kubernetes, AWS, GCP, Jupyter, Colab, Adobe Photoshop, Adobe Premiere Pro, Adobe Lightroom, Blender, Gazebo, Unreal Engine |
*Formalizing Curiosity*
Karthik Valmeekam*, Kaya Stechly*, Subbarao Kambhampati
arXiv Preprint, Sept 2024.
*equal contribution
(Coverage in The Decoder,
Top paper in Alpha Signal Newsletter)
Kaya Stechly*, Karthik Valmeekam*, Subbarao Kambhampati
NeurIPS 2024
*equal contribution
(Coverage in TechTalks)
Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Kaya Stechly, Mudit Verma,
Siddhant Bhambri, Lucas Saldyt, Anil Murthy
ICML 2024 (Position Paper)
Atharva Gundawar, Mudit Verma, Lin Guan, Karthik Valmeekam, Siddhant Bhambri, Subbarao Kambhampati
arXiv Preprint, May 2024.
Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati
arXiv Preprint, Feb 2024.
Subbarao Kambhampati, Karthik Valmeekam, Lin Guan
Tutorial at AAAI 2024
Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati
NeurIPS 2023 (Spotlight) (Earlier at KLR@ICML 2023)
Lin Guan*, Karthik Valmeekam*, Sarath Sreedharan, Subbarao Kambhampati
NeurIPS 2023 (Earlier at KLR@ICML 2023)
*equal contribution
Karthik Valmeekam, Matthew Marquez, Alberto Olmo, Sarath Sreedharan, Subbarao
Kambhampati
NeurIPS 2023 (Benchmark Track)
Karthik Valmeekam, Matthew Marquez, Subbarao Kambhampati
FMDM@NeurIPS 2023
Lin Guan, Karthik Valmeekam, Subbarao Kambhampati
ICLR 2023
Subbarao Kambhampati, Karthik Valmeekam, Matthew Marquez, Lin Guan
Tutorial at ICAPS 2023
Karthik Valmeekam, Alberto Olmo, Sarath Sreedharan, Subbarao Kambhampati
FMDM@NeurIPS 2022
Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati
ICAPS 2022; AAAI 2021 Demos
Karthik Valmeekam, Dheeraj Nair, J Anuradha
Procedia Computer Science, 2018
*Get the engine started.*