news

list of news.

Oct 29, 2025 Our paper, Distillation versus Contrastive Learning: How to Train Your Rerankers, has been accepted at the IJCNLP-AACL 2025.
Oct 15, 2025 I will be presenting our work, Confidence-Based Response Abstinence: Improving LLM Trustworthiness via Activation-Based Uncertainty Estimation, at the 2nd UncertaiNLP Workshop at EMNLP 2025. See you in Suzhou, China!
Aug 29, 2025 Check out our work on uncertainty quantification, Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question Answering, which will be presented at the Reliable ML Workshop at NeurIPS 2025.
Jul 10, 2025 Looking for a tool for uncertainty quantification in LLMs? Check out TruthTorchLM (code) — to be presented at EMNLP 2025.
Feb 20, 2025 Check our survey, A Survey of Model Architectures in Information Retrieval, for the development of information retrieval (IR) modeling and challenges in the era of large language models (LLMs).
Sep 20, 2024 Our paper, Language Concept Erasure for Language-Invariant Dense Retrieval, has been accepted for an oral presentation at the EMNLP 2024 main conference. See you in Miami!
Jul 22, 2024 I’m joining Capital One as an applied researcher.
Jun 26, 2024 I defended my dissertation and completed my Ph.D.
Jun 03, 2024 My internship work with Google, Optimizing Large-Scale Context Retrieval for End-to-end ASR, has been accepted at Interspeech 2024.
May 19, 2023 I defended my thesis proposal. Now, I am an ABD (All but dissertation).
Feb 16, 2023 We are the runner up of MIRACL, WSDM Cup 2023. Check our solution here.