| Oct 15, 2024 | [Invited Talk] I will give a talk in NeurIPS 2024 Workshop “Interpretable AI: Past, Present and Future”, Dec, 2024, Vancouver, Canada! |
| Oct 10, 2024 | [EMNLP x 6] Six Long Papers (3 Main, 1 Findings, 2 Industry Track) are accepted by EMNLP 2024. 2 oral presentations and 4 poster presentations! See you in Miami! |
| Aug 1, 2024 | Glad to share that I was promoted to be a Senior Staff Research Scientist @Intuit! |
| Jun 20, 2024 | [Invited talk] I will present my research on hallucination detection and mitigation at Intuit Open Source Meetup! |
| Jun 1, 2024 | Will serve as an Area Chair for EMNLP 2024! |
| May 1, 2024 | One UQ paper was accepted by AISTATS 2024. See you in Valencia, Spain! |
| Mar 4, 2024 | One paper on UQ for LLM was accepted by EACL 2024. |
| Nov 10, 2023 | I created two Github Repos to share resources and papers on LLM Prompt Optimization and LLM RAG. Welcome to contribute and work together! |
| Oct 24, 2023 | Two papers on “DECDM: Document Enhancement using Cycle-Consistent Diffusion Models” and “On the Quantification of Image Reconstruction Uncertainty without Training Data” are accpeted by WACV 2024! |
| Oct 22, 2023 | Our paper on “A Divide-Conquer-Reasoning Approach to Consistency Evaluation and Improvement in Blackbox Large Language Models” is accepted by NeurIPS 2023 Workshop on Socially Responsible Language Modelling Research. |
| Oct 7, 2023 | Our paper on SAC^3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency is accepted by EMNLP 2023! The code is coming soon! |
| Sep 28, 2023 | One patent on “Model based document image enhancement” is issued and published. |
| Sep 21, 2023 | Our paper on “Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision” is accepted by NeurIPS 2023! Cheers! |
| Mar 27, 2023 | I was invited to be a Reviewer/PC member for NeurIPS 2023, ICLR 2024, ICASSP 2024, WACV 2024, SIAM SDM 2024. |
| Mar 21, 2023 | I built a Github Repo that contains a collection of resources and papers on Reliability, Robustness and Safety in Large Language Models (LLMs). |
| Feb 21, 2023 | Our paper titled “Speech Privacy Leakage from Shared Gradients in Distributed Learning” is accepted by ICASSP 2023! |
| Dec 12, 2022 | Two papers on “Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling” and “AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution” are accpeted by AAAI 2023! |