The Natural Language Processing Group at Washington University is a team of faculty and students working on understanding and modeling natural language. We work on a broad range of fundamental NLP topics including large language models, deep learning models, language representation and generation, structure prediction, knowledge graphs, language and vision, responsible models (including security, robustness, interpretability, fairness), neural symbolic models, code understanding and generation, as well as applications of NLP for science, biomedicine, math, economics, and blockchain.
image credit: the group's passport to the Metaverse based on readyplayer.me
- Nov, 2023: AgentInstruct’s code is out! 📃 [Paper] 💻 [Github] 🤗 [HuggingFace] 📌 [Blog] 📽 [Slides] 📋 [Poster]
- Oct, 2023: “Agent Instructs Large Language Models to be General Zero-Shot Reasoners” is released.
- Jul, 2023: “Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study” is accepted to ICCV 2023.
- Apr, 2023: “CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models” is accepted to ICML 2023.
- Apr, 2023: Congrats to Kripa George, Yidan Tang, and Fankun Zeng on successfully defending their masters theses/projects.
- Oct, 2022: 4 papers are accepted to EMNLP 2022.
- Oct, 2022: The WashU NLP group was launched.