Weize Kong @weizekong
Researcher at OpenAI, working on agents 🤖 sites.google.com/site/weizekong Joined December 2009-
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Join us at 4pm today #ACL2024NLP poster session for our work “PRewrite: Prompt Rewriting with Reinforcement Learning” arxiv.org/pdf/2401.08189 w/ @spurthi_ah
For decades, retrievers have been optimized for human users. However, LLM may have different preferences wrt ranking & selection cf. humans. Join us 4 PM today #ACL2024NLP poster session to explore how to bridge such preference gaps for RAG, arxiv.org/pdf/2401.06954 w/ @KeZixuan
Our team at Google Research is looking for a student researcher (research intern) to work on Information Retrieval + Large Language Model. Please share your CV with [email protected] and apply via careers.google.com/jobs/results/?…, if interested. Thanks! #intern2023 #research #ir #llm
Delighted to share that our paper titled "Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval" has won the #WSDM2022 Best Paper Award! 🥳🥳🥳 Congrats to @Jingtao_Zhan and all co-authors! link: wsdm-conference.org/2022/timetable…
Excited that @Chen_Qu1 will present our work "Natural Language Understanding with Privacy-Preserving BERT" at #CIKM2021 today. research.google/pubs/pub50636/ Joint work w/ @Chen_Qu1 @liuyang_irnlp @_Mingyang_Zhang @bemikelive @marc_najork
We are very happy to announce WIT: Wikipedia-Based Image Text Dataset, a large multimodal multilingual dataset. @GoogleAI ai.googleblog.com/2021/09/announ…
Our #WSDM2021 paper "Improving Cloud Storage Search with User Activity" is now available at research.google/pubs/pub50003/
Congrats to my students! Our pretraining for IR method looks promising!
Congrats to my students! Our pretraining for IR method looks promising!
Please RT! If you're looking for a PhD position in a world leading information retrieval research lab, the Center for Intelligent Information Retrieval (CIIR) at @UMassCS is hiring multiple students for Fall 2021. Deadline: Dec. 15. Questions? drop me an email. @sigir_students
And we also used the same user activity data to learn to cluster documents in our recent KDD paper research.google/pubs/pub49265/
And we also used the same user activity data to learn to cluster documents in our recent KDD paper research.google/pubs/pub49265/
I am looking for multiple Ph.D. students to join my lab @KhouryCollege @Northeastern in Fall of 2021 to work on exciting computer vision problems. *Deadline is Dec 15 and GRE is not required*. See details at jianghz.me/opportunities. Please help RT!
The summary of our participation in the TREC COVID challenge is now out (arxiv.org/abs/2010.00200). Our team, unique_ptr, achieved SOTA performance in Rounds 4 & 5 of the challenge. Key take-aways:
Introducing the *CIIR Talk Series*, a biweekly event; open to everyone. We live stream the presentations and publish the recorded talks (with a consent from the presenters). If you are interested in learning more about the events or joining the talks, see the thread 👇
@weizekong will be presenting (pre-recorded video w/ live Q&A) our joint work on "Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs" (research.google/pubs/pub49265/) at the upcoming ADS #KDD2020 session on Content Recommendation & Retrieval Systems.
European Summer School lecture on tips for doing research in IR ciir.cs.umass.edu/downloads/essi…
In the past year or so, our team has been working on TF-Ranking, open-source scalable @TensorFlow library for learning-to-rank models. Excited to share it today with the research community!
In the past year or so, our team has been working on TF-Ranking, open-source scalable @TensorFlow library for learning-to-rank models. Excited to share it today with the research community!

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