news

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!