CV

I work in Natural Language Processing / Understanding, primarily towards addressing different Efficiency and Reliability aspects.

Specifically, I focus on problems such as Mitigating the Hallucinations of LLMs, Efficient LLM Decoding, Instruction Tuning, Question Answering, Inference Efficiency, Text Generation, LLM Defense Strategies, Selective Prediction, Training Sample Efficiency, Large Language Models, and Retrieval Augmented Inference.

My Research Wrok

2022 (4 Conference + 1 Workshop)
2023 (2 Conference + 1 Workshop)

2022 (2 Conference)
2023 (1 Conference)

2023 (1 Conference)

2024 (1 Conference)
2022 (1 Workshop)

2022 (1 Workshop)
2023 (1 Workshop)

2023 (1 Conference)

Efficiency and Reliability of NLP Systems
Mitigating LLM Hallucinations
Open-domain Question Answering
Selective Prediction
Retrieval Augmented Inference
Large Language Models
LLM Defense Strategies
Prompting
Multitask Learning
Robustness and Generalization
Learning from Less Supervision
Natural Language Inference
Reasoning

Ph.D. in Computer Science
Arizona State University

• GPA: 4.0/4.0
• Advisor: Dr. Chitta Baral.
• Area: Natural Language Processing/Understanding
• Courses:
  
  Natural Language Processing
  Machine Learning
  Artificial Intelligence
  Data Mining
  Knowledge Representation and Reasoning
  Social Media Mining
  Mobile Computing
  Bio-Medical Natural Language Processing
  

B.E.(Hons.) Computer Science
Birla Institute of Technology and Science, Pilani

• GPA: 9.11/10
• Worked in "Web Intelligence & Social Computing" research laboratory headed by Prof. Poonam Goyal.
• Accomplished research projects in CEERI under the guidance of Dr. J.L. Raheja.
• Teaching assistant for lab sections of programming.
• Campus Coordinator of Computer Science Association and organized numerous on-campus events such as Alumni Research Talks, Technical Fest competitions.
• Served as a teacher in National Service Scheme (N.S.S.) for underprivilaged children.
• Internships - Microsoft, Samsung R&D Institute, Valuefirst Digital Media

NLP Research Intern
Tencent AI

• Detecting and Mitigation Hallucinations of Large Language Models

Applied Scientist Intern
Amazon Science

• Web Question Answering Leveraging Information Retrieval for Alexa AI

Software Engineer
Microsoft

• Contributed towards development of a Machine Learning driven chat recommendation system aimed at augmenting user engagement with Microsoft's product 'Teams'.
• Collaborated with MSR researchers for a feature titled 'Intelligent Feeds' that finds relevant messages for users based on their prior activities and message text features.

Research Intern
Samsung R&D Institute

• Orchestrated a 'context prediction' application incorporating features based on device events (e.g app usage, location) and sensor data (proximity sensor).

SCAI Outstanding CS PhD Graduating student Award for the 2023-2024 academic year

SCAI doctoral fellowship, ASU

Selected as Outstanding Reviewer for EACL 2023 (Question Answering Track)

GPSA Outstanding Research Award Fall 2023, ASU

Graduate College Travel Award, ASU for ACL 2023.

SCAI Doctoral Fellowship, School of Computing and AI, ASU.

Selected for AAAI Student Scholarship 2023

Graduate College Travel Award, ASU for AAAI 2023.

GPSA Travel Award, ASU for EMNLP 2022.

SCAI Conference Award, ASU for EMNLP 2022.

Graduate College Travel Award, ASU for EMNLP 2022.

Graduate College Travel Award, ASU for NAACL 2022.

GPSA Travel Award, ASU for ACL 2022.

Registration award from Repl4NLP for ACL, 2022.

Graduate College Travel Award, ASU for ACL 2022.

SCAI Conference Award, ASU for ACL 2022.

Swaroop Mishra (Research Scientist at Google Brain)

Jianshu Chen (Principal Researcher at Tencent AI)

Hongming Zhang (Senior Research Scientist at Tencent AI)

Wenlin Yao (Senior Research Scientist at Tencent AI)

Dong Yu (Distinguished Scientist at Tencent AI)

Tejas Gokhale (Assistant Professor at University of Maryland, Baltimore County)

Arindam Mitra (Data and Applied Scientist at Microsoft Research)

Daniel Khashabi (Allen AI, Assistant Professor at Johns Hopkins University)

Bing Liu (Professor at University of Illinois at Chicago)

Pratyay Banerjee (Applied Scientist at Alexa AI, Amazon Science)

Eric Robertson (PAR Government)

Ashwin Kalyan (Allen AI)

Yizhong Wang (Allen AI, University of Washington)

Rik Koncel-Kedziorski (Alexa AI)

Kuntal Pal (Applied AI ML Senior Associate at JPMorgan Chase & Co.)

Man Luo (Research Fellow at Mayo Clinic)

Mihir Parmar (ASU)