Michael Bendersky @bemikelive
@ Google. Interested in information retrieval, natural language processing, machine learning & their applications. bendersky.github.io Joined May 2010-
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Call for Papers: The #WSDM2024 Workshop on LLMs for Individuals, Groups, and Society. Submission deadline: January 15, 2024 More information: …ividuals-groups-and-society.github.io/2024 cc/ @WSDMSocial @bemikelive @meiqzh @vanessa_murdock @jietang @feifeiM @_Mingyang_Zhang
Very honored to receive the best short paper award at #SIGIR2023! Will present the work at 12 in room 201E today. "SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval" w/ Jeffrey M. Dudek, Cheng Li, @_Mingyang_Zhang @bemikelive
📣My colleagues in Google Research are looking for a Ph.D. summer student researcher to work on exciting projects related to LLM and ranking 🔥. If you have previous experiences in ML/NLP/IR/DM, please reach out to Honglei Zhuang ([email protected])🤝.
We extended the submission deadline of the #SIGIR2023 Workshop on Retrieval-Enhanced Machine Learning (#REML) to May 2, 2023! Please RT!
We extended the submission deadline of the #SIGIR2023 Workshop on Retrieval-Enhanced Machine Learning (#REML) to May 2, 2023! Please RT!
Fernando Diaz @841io
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I had an awesome time at #ECIR2024 in Glasgow. Always my favourite conference 💚🔎. Thanks a lot to the organizers; well done!! And to my students, for their great papers and presentations.
My group, @grill_lab_ai at @InfAtEd has openings for multiple postdocs and PhD students to work on the future of interactive assistants, generative retrieval, and Large Language Models (LLMs). We're at #ecir2024, so please come chat.
Reading the new Gemini paper tells me one thing: we need to invest into the creation of better and more complex datasets. Once models hit 90% on a dataset we should only continue using the dataset as sanity check.
check out some of the demos at demo.tonita.co -- these are straight-out-of-the-oven demos we built at Tonita, ZERO tuning based on feedback! Tell me you don't want this for @Airbnb, @bchesky -- if you want to see an interactive version, let me know!
Every search box in every app is about to be redone with something far better. Maybe the incumbent will move fast enough, but for many spaces they won't. The future is being built right now.
I'm enjoying working my way through this detailed review of the evaluation of #GenIR systems.
Evaluating Generative Ad Hoc Information Retrieval. arxiv.org/abs/2311.04694
📣My colleagues in Google Research are looking for a Ph.D. summer student researcher to work on exciting projects related to LLM and ranking 🔥. If you have previous experiences in ML/NLP/IR/DM, please reach out to Honglei Zhuang ([email protected])🤝.
I'm so excited to share my monograph on Foundations of Vector Retrieval w/ you all. If you're a grad student considering theory-inclined research on data structures and algorithms for nearest neighbor search, I hope you find this to be a helpful resource. arxiv.org/abs/2401.09350
Some really good open questions on the future of information retrieval. There is a large gap though between SOTA IR methods and search deployments in the wild doing the equivalent of Elasticsearch’s "match_all".
📢 SEARCH FUTURES WORKSHOP 🔮🔍 #ECIR2024, Glasgow 👉🏽👉🏽 searchfutures.github.io 👈🏽👈🏽 We're running a workshop to discuss pressing and emerging issues arising in the field of information retrieval. Please consider submitting an abstract to give a talk at the workshop.
Checkout the preprint of our paper “Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers” accepted @ecir2024 arxiv.org/abs/2401.04842 W/ @amin_bigdelii and @claclarke
Seems like 2023 is going to have an exciting year-end! 😆 Our full paper, "Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers" has been accepted @ecir2024, w/ @amin_bigdelii and @claclarke 📚🎉 #ECIR2024
Interested in personalizing LLMs? Check out the recent updates to the LaMP benchmark: lamp-benchmark.github.io More information in the thread below👇
Update on the LaMP benchmark 🪔 @HamedZamani @MSheshera @bemikelive We recently updated our paper about personalizing large language models on arXiv with interesting updates! #LLM #ChatGPT #NLProc arxiv.org/abs/2304.11406 lamp-benchmark.github.io Details in thread 🧵👇
Update on the LaMP benchmark 🪔 @HamedZamani @MSheshera @bemikelive We recently updated our paper about personalizing large language models on arXiv with interesting updates! #LLM #ChatGPT #NLProc arxiv.org/abs/2304.11406 lamp-benchmark.github.io Details in thread 🧵👇
@elonmusk The only solution is to mass-produce prefabricated modular houses the same way we manufacture cars. You know about that more than anyone, Elon.
Great list of papers featuring at GenIR@SIGIR23 coda.io/@sigir/gen-ir/…
We are happy to announce that we've raised $73.6 million in Series B funding led by IVP with participation from NVIDIA, NEA, Bessemer, Elad Gil, Jeff Bezos, Nat Friedman, Databricks, Tobi Lutke, Guillermo Rauch, Naval Ravikant, Balaji Srinivasan.
There's an important missing perspective in the "GPT-4 is still unmatched" conversation: It's a process (of good engineering at scale), not some secret sauce. To understand, let's go back to 2000s/2010s when the gap between "open" IR and closed Google Search grew very large. 🧵
The recent releases of many GPT-3.5 class AIs (Grok, Mixtral, Gemini Pro) are oddly unilluminating about the future of frontier AI It’s been a year & no one has beat GPT-4. Will they? Is there some magic there? Does it indicate a limit to LLMs? Will GPT-4.5 be another huge jump?
Many people are wondering about what’s happening on U.S. campuses. While I can’t speak about all other college campuses, I can definitely give you an insider’s view about @Columbia University. (this thread may be a bit long, but trust me: it's worth it)