Andrew Yates @andrewyates
Senior Research Scientist, HLTCOE, Johns Hopkins University. Information Retrieval, Natural Language Processing, and AI. andrewyates.net Baltimore, MD, USA Joined May 2010-
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Andrew Yates retweeted
🚨Wouldn’t it be nice if your agentic search system could reason over all your docs? ✨Introducing Rank-K, a listwise reranker that benefits from test-time compute and long-context! Rank-K sets a new SoTA for reasoning-based reranking, without reasoning chains from other models.
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Andrew Yates retweeted
🚨 IT'S HERE! 🚨 The Eval Leaderboard is now LIVE! 🏆💻 Our video retrieval collection stumps most pre-trained models. See if you can build a better system! eval.ai/web/challenges…
Andrew Yates retweeted
Check out our latest work, Video-ColBERT, an efficient late interaction approach for video retrieval! Recently accepted at #CVPR2025
Andrew Yates retweeted
Ever wonder how test-time compute would do in retrieval? 🤔 introducing ✨rank1✨ rank1 is distilled from R1 & designed for reranking. rank1 is state-of-the-art at complex reranking tasks in reasoning, instruction-following, and general semantics (often 2x RankLlama 🤯) 🧵
Andrew Yates retweeted
I'm excited about this line of work, as it paves the way towards more effective and lexically grounded representations for negated and set-compositional queries! Many thanks to my co-authors for their support and constructive feedback @andrewyates @ekanou #IR #NLP #research
Join us on 27 Feb in Amsterdam for the ELLIS workshop on Representation Learning and Generative Models for Structured Data sites.google.com/view/rl-and-gm…
Andrew Yates retweeted
CLPsych 2025 is happening 🎉 and will be collocated with NAACL. The first Call for Papers is out. Please consider submitting and help us spread the word. clpsych.org
Andrew Yates retweeted
Interested in speeding up approximate retrieval over learnt sparse embeddings of up to 12x w.r.t. the winning methods of the Big ANN 2023 Sparse Track challenge? Check this out: arxiv.org/abs/2404.18812. Long paper @ #SIGIR2024 with @snbruch, @cosimorulli1, @rventurini_
Andrew Yates retweeted
1/4 I'm happy to announce that we at @irlab_amsterdam will organize the next edition of the European Summer School in Information Retrieval (ESSIR) @essir_eu on July 1-5 at the University of Amsterdam. Early registration deadline: May 31. More info: 2024.essir.eu
I'm hiring a postdoc to work on topics in neural IR. Interested? Learn more and apply here: vacatures.uva.nl/UvA/job/Postdo…
Andrew Yates retweeted
📢CLPsych Shared Task '24 🗓️Registration deadline: December 10th ℹ️If you are interested in working with LLMs for "explaining stuff" or in #NLProc for mental health, check out the @CLPsychOrg page! clpsych.org/shared-task-20… Team:@AtzilDana @jennycwchim @i_t_s_dimitris @xrysoflhs
Andrew Yates retweeted
We are proud to have the following paper authored by members of IRLab accepted at SIGIR 2023🎉 irlab.science.uva.nl/2023/04/06/irl…
Andrew Yates retweeted
This is joint work with @macavaney and @andrewyates
Andrew Yates retweeted
We release the public beta for bnb-int8🟪 for all @huggingface 🤗models, which allows for Int8 inference without performance degradation up to scales of 176B params 📈. You can run OPT-175B/BLOOM-176B easily on a single machine 🖥️. You can try it here: docs.google.com/document/d/1Jx… 1/n
Andrew Yates retweeted
I'm presenting "Zero-Shot Query Contextualization for Conversational Search" tomorrow at #SIGIR2022 (poster session 13/07 15.30-17.00). Would be happy to chat about it if you're in Madrid! (joint work with @ekanou @andrewyates)
Andrew Yates retweeted
Excited to share my first @ACMSIGIR 2022 paper "Zero-shot Embedding Contextualization for Conversational Search" 🎉🎉🥳 w/ @andrewyates and @ekanou arxiv.org/abs/2204.10613 More details 👇
Andrew Yates retweeted
We are excited that CLPsych 2022 will be collocated with #NAACL2022. For more info on important dates and the shared task, check our website clpsych.org
Andrew Yates retweeted
I'm really excited by this episode about Spider in the Neural IR Talks podcast @ZetaVector! @SergiCastellaSa and @andrewyates - many thanks for considering our work, it was a pleasure listening 🤗
Andrew Yates retweeted
📢Tomorrow is the official book launch party of Pretrained Transformers for Text Ranking: BERT and Beyond, by @lintool, @rodrigfnogueira, and @andrewyates at SEA. Open for everyone 🌍! Sign up for the last spots and have a chance to win the book📚 meetup.com/SEA-Search-Eng…
Andrew Yates retweeted
"Pretrained Transformers for Text Ranking: BERT and Beyond" with @rodrigfnogueira and @andrewyates - it started on June 18, 2020 and culminates here with the official publication... Enjoy! institutional subscribers: morganclaypool.com/doi/10.2200/S0… retail orders: morganclaypoolpublishers.com/catalog_Orig/p…
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