The WashU NLP Group
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
Recent News
- Nov, 2023: AgentInstructβs code is out! π [Paper] π» [Github] π€ [HuggingFace] π [Blog] π½ [Slides] π [Poster]
- Oct, 2023: βAgent Instructs Large Language Models to be General Zero-Shot Reasonersβ is released.
- Jul, 2023: βPractical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Studyβ is accepted to ICCV 2023.
- Apr, 2023: βCodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Modelsβ 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.