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We launched Company Knowledge to ChatGPT enterprise users today! openai.com/index/introduc… This AI agent performs deep searches across your connected apps, like Slack, Drive, and GitHub. It usually answers quickly but can also dive deeper for more challenging tasks. I’ve become…
so much of work is what I like to call the “work around work” - switching between systems, chasing context, and stitching tools together to get things done company knowledge in chatgpt now does this for you it can reason across tools like slack, sharepoint, google drive,…
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
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I’ll give an oral presentation for this work tomorrow at the 10am search & information retrieval session. Come join us! #kdd2022
Multi-Aspect Dense Retrieval (by @weizekong Swaraj Khadanga @Li_Cheng_ Shaleen Gupta @_Mingyang_Zhang Wensong Xu @bemikelive) introduces an aspect prediction task to capture different aspects of documents and queries in e-commerce search. Paper: research.google/pubs/pub51472/
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!
💡#SOTA Alert💡 Congrats to Yingyan Li and Xinyu Ma from ICT, CAS on the "PROP_step400K base (ensemble v0.1)" submission which is now at the top of the #MSMARCO Document Ranking Leaderboard and the first to edge past eval MRR@100 of 0.4! Full leaderboard: msmarco.org
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/
I am happy to announce that our paper "Improving Cloud Storage Search with User Activity" has been accepted at #WSDM2021! w/ @weizekong @RamK1729 @bemikelive @marc_najork
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.
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