Hi!
I'm a Master's student in the
Computer Science department at Princeton University. I am advised by
Dr. Karthik
Narasimhan and am a part of the Princeton NLP group. My
interests are broadly
in Machine Learning, Natural Language Processing and Big
Data Systems. I am honored to be a Siebel Scholar (2024).
I graduated as a Gold Medalist from
National Institute of Technology
Karnataka, Surathkal with a Bachelors in Information Technology.
Here, I was a part of the HALE Lab where I
wrote my thesis on patient
care tasks, advised by Dr. Sowmya Kamath.
I enjoy applied/product research to solve real-world tasks.
My current works revolve around benchmarking large language models, language agents and understanding their cognitive aspects.
I am fortunate to have studied/worked at some wonderful places!
My first research paper on ICD-9 Code Group Prediction accepted at CoDS-COMAD
2021!
Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning
[Preprint][Code] Akshara Prabhakar, Thomas L. Griffiths, R. Thomas McCoy
Exploring Reasoning and Interactive Benchmarking of Language Models
M.S.E. Thesis, Princeton Univeristy (2024)
[Thesis][Slides] Akshara Prabhakar
Language Models as Science Tutors
International Conference on Machine Learning (ICML 2024); also in Data-Centric Machine Learning Research Workshop @ ICLR 2024
[Paper][Code]
Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Simon Machado, Arturo Rodriguez Fanlo, Simon Frieder, Zirui Wang, Akshara Prabhakar, Jiachen T. Wang, Xindi Wu, Mengzhou Xia, Wenhan Xia, Jiatong Yu, Ellie Thieu, Max Aragon, Zhiyong Ren, Junjie Zhu, Toni Annala, Sanjeev Arora, Danqi Chen
InterCode: Standardizing and Benchmarking Interactive Coding
with Execution
Feedback
Conference on Neural Information Processing Systems (NeurIPS
2023) - Datasets and Benchmarks
[Paper][Code][Poster]
John Yang, Akshara
Prabhakar, Karthik
Narasimhan, Shunyu Yao
Language Agents as Hackers: Evaluating Cybersecurity Skills with Capture the Flag
Multi-Agent Security Workshop @ Neural Information Processing Systems (NeurIPS
2023)
[Paper][Code][Poster]
John Yang, Akshara
Prabhakar, Shunyu Yao, Kexin Pei, Karthik
Narasimhan
Best Paper Award
Commonsense and Named Entity Aware Knowledge Grounded Dialogue
Generation
North American Chapter of the Association for Computational Linguistics
(NAACL-HLT
2022) [Paper][Code][Slides]
Deeksha Varshney, Akshara Prabhakar, Asif Ekbal
Neural Language Modeling of Unstructured Clinical Notes for
Automated Patient
Phenotyping
56th Annual Conference on Information Sciences and Systems (CISS 2022) [Paper][Slides] Akshara Prabhakar, Shidharth
S, Sowmya Kamath S
CL-NERIL: A Cross-Lingual Model for NER in Indian Languages
36th AAAI Conference on Artificial Intelligence (AAAI 2022) - Student
Poster [Paper][Code][Poster] Akshara Prabhakar, Gouri Sankar Majumder, Ashish Anand
Student Scholarship Award
Diagnostic Code Group Prediction by Integrating Structured &
Unstructured Clinical
Data 9th International Conference on Big Data Analytics (BDA 2021) [Paper][Video][Slides]
A short version was accepted at the Young Researchers' Symposium of ACM
India KDD CoDS-COMAD
2021!
[Paper][Slides] Akshara Prabhakar, Shidharth
S, Gokul S Krishnan and Sowmya Kamath S
Study of a Hybrid Approach Towards Malware Detection in
Executable
Files 6th International Conference on Cyber Security and Privacy in Communication
Networks 2020
Published in Springer Nature Computer Science journal Volume 2 [Paper] Akshara Prabhakar, Bhawana Rudra