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princeton natural language processing princeton nlp group skip links skip to primary navigation skip to content skip to footer people publications teaching blog contact internal toggle menu princeton natural language processing princeton nlp is a team of faculty and students working to make computers understand and use human language effectively news 2023 10 check out our new blog sheared llama accelerating language model pre training via structured pruning by mengzhou xia and tianyu gao 2023 10 check out our new blog flash decoding for long context inference by incoming professor tri dao 2022 11 congrats to vishvak murahari carlos jimenez and runzhe yang for winning 2nd place in the 2022 nokia bell labs prize 2022 10 congrats to shunyu yao and zexuan zhong for receiving a seas award for excellence 2022 09 congrats to jane pan for being named a 2023 siebel scholar 2022 07 congrats to shunyu yao and dan friedman for being named graduate student fellows in cognitive science for the 22 23 academic year 2022 05 congrats to huihan li tianyu gao and manan goenka for receiving the outstanding paper award at acl 2022 for their paper ditch the gold standard re evaluating conversational question answering 2022 05 congrats to jens tuyls dan friedman and mengzhou xia for receiving a graduate student teaching assistant award for the 2022 academic year 2022 04 congrats to zexuan zhong for recieving the j p morgan phd fellowship and jens tuyls for receiving an nsf grfp honorable mention 2021 10 the first blog post is up check out phrase retrieval and beyond by our visting postdoc jinhyuk lee 2021 08 congrats to huihan li for being named a 2022 siebel scholar 2021 08 we welcome a group of new graduate students joining us this fall alex and austin 2020 08 we welcome a group of new graduate students joining us this fall carlos dan howard jens mengzhou tianyu and vishvak about us the princeton nlp group conducts research in natural language processing with the goal of making computers understand and use human language effectively we develop novel algorithms design new frameworks and investigate theoretical foundations to tackle challenging problems in language understanding drawing on techniques like deep neural networks and reinforcement learning our work aims to push the boundaries of artificial intelligence while also enabling strides in practical text processing applications that can have a broad impact on various real world problems our recent efforts have focused on question answering dialogue systems language grounding knowledge representation reasoning representation learning and algorithms for learning from weak supervision follow twitter github 2024 princeton nlp group powered by jekyll minimal mistakes