Hi there!

I am a final year Ph.D. student under the supervision of Dr. Huan Liu at the Data Mining and Machine Learning Lab at the School of CS & AI, Arizona State University. My current research primarily focuses on: (i) leveraging large language models (LLMs) for human-intensive tasks in a machine learning pipeline, (ii) robust detection of AI-generated content, and (iii) NLP applications in domain adaptation and domain generalization. During the summer of 2024, I was an Applied Research Intern at NVIDIA NeMo Guardrails, working with Christopher Parisien and Shaona Ghosh, on inference-time safety steering of large language models(LLMs). During the summer of 2022, I interned at Nokia Bell Labs as a Software Systems Research Intern, under the guidance of Buvaneswari Ramanan and Thomas Woo, where I worked on problems in the realm of continual learning and low-resource learning in real-world use-cases. When I’m not working, I enjoy traveling, hiking, kayaking, camping and chilling with my cat Luna!

I’m currently on the industry job market, looking for Applied Scientist, Research Scientist or related roles, preferably around LLM research + product. Please reach out!

📢📢 For speaking opportunities, check out my speaker profile here, and reach out!

📢 News

[Oct 2024] Our paper Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation has been accepted to IEEE BigData 2024!

[Oct 2024] Our paper Towards Inference-time Category-wise Safety Steering for Large Language Models [Work done with NVIDIA!] has been accepted to the Safe Generative AI Workshop at NeurIPS 2024!

[Sep 2024] Two papers accepted at EMNLP 2024 Main Track: (1) Defending Against Social Engineering Attacks in the Age of LLMs, (2) Large Language Models for Data Annotation: A Survey.

[Sep 2024] Delivered an in-person tutorial on “Defending Against Generative AI Threats in NLP” at SBP-BRiMS 2024, Pittsburgh, PA, USA. Tutorial Resources.

[Sep 2024] Received the SBP-BRiMS 2024 Student Travel Award!

[Sep 2024] Invited to be a Program Committee Member for SDM 2025.

[Jun 2024] Received the SIGIR 2024 NSF Travel Award!

[Jun 2024] Invited to be a Program Committee Member for AAAI 2025.

[May 2024] Invited to be a Program Committee Member for SBP-BRiMS 2024.

[May 2024] My chat with ScienceNewsExplores (SNE) got featured in this SNE news story.

[Apr 2024] Our paper Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales got accepted to NAACL WOAH 2024!

[Apr 2024] Gave an invited talk at the ASU Cronkite School of Journalism for an AI in Journalism course for Masters students in Investigative Journalism, on Large Language Models: Opportunites and Threats in Journalism. Slides

[Mar 2024] Our demo paper “ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement” has been accepted at SIGIR 2024! Paper Link

[Jan 2024] I have accepted an offer to join NVIDIA as an Applied Research Intern for Summer 2024, working on LLM Safety!

[Jan 2024] Invited to serve as a Program Committee member at IJCAI 2024 (Survey Track).

[Jan 2024] Our paper “Adversarial Text Purification: A Large Language Model Approach for Defense” has been accepted at PAKDD 2024! Paper Link

[Dec 2023] Our paper “Towards LLM-guided Causal Explainability for Black-box Text Classifiers” has been accepted at the AAAI 2024 Responsible Language Models worskhop, Vancouver, Canada! Paper Link

[Nov 2023] Our paper “ConDA: Contrastive Domain Adaptation for AI-generated Text Detection” won the 🏆 Oustanding Paper Award 🏆 at IJCNLP-AACL 2023, held in Bali, Indonesia! Paper Link