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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
portfolio
publications
When ‘Competency’ in Reasoning Opens the Door to Vulnerability: Jailbreaking LLMs via Novel Complex Ciphers
Published in NeurIPS 2025 Reliable ML from Unreliable Data Workshop (non-archival), 2024
We propose a jailbreaking technique that encodes malicious queries with layered novel ciphers, exploiting LLMs ability to interpret complex instructions, increasing jailbreaking success rates from 40% to 78%.
Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases
Published in arXiv preprint, 2024
We study the use of Retrieval-Augmented Generation to improve LLM factual accuracy and reduce hallucinations for domain-specific queries in private knowledge bases.
Masked Pretraining Strategy for Neural Potentials
Published in AIP Advances, vol. 14, no. 9, 2024
We propose a new masking pretraining method for Force and Energy-Centric Graph Neural Networks to surrogate molecular dynamics, reducing RMSE for water datasets by up to 38%.
Build-Bench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software
Published in Transactions on Machine Learning Research (TMLR), 2026
We construct a benchmark dataset for evaluating agentic open-source software compilation methods and propose a multi-agent compilation method enhanced with LLM-assisted retrieval.
CAST: Critique-Aware Supervision for Training Reliable Long-Horizon Tool-Calling Agents
Published in EMNLP 2026 Main Conference, 2026
We introduce critique-aware supervision for training more reliable agents on long-horizon tool-calling tasks.
talks
teaching
Algorithm Development Intern
Internship, Sohu Inc., 2021
Designed and deployed a real-time feed deduplication system to enhance user experience and content diversity for social media app.
Randomness and Computation (CSCI2244)
Teaching Assistant, Boston College, Computer Science Department, 2021
Teaching Assistant for Randomness and Computation (CSCI2244) at Boston College.
Web Application Development (CSCI2254)
Teaching Assistant, Boston College, Computer Science Department, 2022
Teaching Assistant for Web Application Development (CSCI2254) at Boston College.
Natural Language Processing (CSE 576 – Topics/Natural Language Proc)
Guest Lecturer, Arizona State University, 2024
Delivered lecture about language model-based agents.
Research Intern
Internship, Samsung Research America, 2026
Conducted research on indirect prompt injection vulnerabilities in LLM-based agentic systems.
Information Assurance (CSE 365)
Teaching Assistant, Arizona State University, 2026
Graduate Teaching Assistant for Information Assurance (CSE 365) at Arizona State University.