Daniel Cohen

29 posts

Daniel Cohen

Daniel Cohen

@dcohenIR

Katılım Ekim 2015
77 Takip Edilen99 Takipçiler
Daniel Cohen retweetledi
Zhichao Xu Brutus
Zhichao Xu Brutus@zhichaoxu_ir·
I will be presenting this paper at SIGIR Virtual Short Paper Session 1 tonight (3:30 AM EDT/12:30 PST) welcome to attend and discuss Constrained Generation and its usage in web search🔍 I am also looking for research internship roles for Summer 2024🙂 hope to connect !!!
Zhichao Xu Brutus@zhichaoxu_ir

happy to share our📜A Lightweight Constrained Generation Alternative for Query-focused Summarization - has been accepted to @SIGIR2023 as a short paper. work w/ @dcohenIR and more details 👇🧵

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Daniel Cohen
Daniel Cohen@dcohenIR·
Excited to share our SIGIR preprint on leveraging a low-complexity way of controlling the generation of LLM for snippet generation! We achieve close to SoTA performance while using only a saliency map and beam search modification: arxiv.org/pdf/2304.11721…
Zhichao Xu Brutus@zhichaoxu_ir

Draft made available on arXiv ! 👇arxiv.org/pdf/2304.11721… We picture this constrained generation approach as a way to address the classical snippet problem in web search 🔍 and to help reduce users' cognitive overhead in search sessions 📃.

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Daniel Cohen retweetledi
Zhichao Xu Brutus
Zhichao Xu Brutus@zhichaoxu_ir·
happy to share our📜A Lightweight Constrained Generation Alternative for Query-focused Summarization - has been accepted to @SIGIR2023 as a short paper. work w/ @dcohenIR and more details 👇🧵
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Bhaskar Mitra | ভাস্কর মিত্র
Bhaskar Mitra | ভাস্কর মিত্র@UnderdogGeek·
[Short Paper] "Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences" by @dcohenIR, Du, Mitra, Mercurio, Rekabsaz, and @CarstenEickhoff. This is an early exploration into how ranking model uncertainty may disparately impact under-represented groups.
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Daniel Cohen
Daniel Cohen@dcohenIR·
I'm also happy to share that my first single author paper, "Allowing for The Grounded Use of Temporal Difference Learning in Large Ranking Models via Sub State Updates" was also accepted as a full paper at #sigir2021!
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Delip Rao e/σ
Delip Rao e/σ@deliprao·
Chinese researchers (and one from Australia) put together a dataset of Uyghur, Tibetan, and Korean — all ethnicities mainland is oppressing right now. #MachineLearning community should be enraged about this, but instead this journal tags it as a “focus article”. (H/t @slashML)
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Katja Hofmann
Katja Hofmann@katjahofmann·
@MSFTResearch blog features some of my latest collaboration with Bing team and more - exciting work on adversarial models for search \w Dan Cohen @UnderdogGeek @wbc11 twitter.com/msftresearch/s…
Microsoft Research@MSFTResearch

Microsoft researchers have been exploring adversarial and reinforcement learning-based approaches to information retrieval. See what they're presenting at #SIGIR2018 about the recent work: aka.ms/AA1symr

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Manning College of Information & Computer Sciences
Manning College of Information & Computer Sciences@manningcics·
After a 39-year-career at UMass Amherst, Distinguished Professor Bruce Croft (@wbc11) is setting aside his faculty responsibilities to focus on research and directing the Center for Intelligent Information Retrieval. Congratulations, Bruce! bit.ly/2J2MxGd
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Daniel Cohen retweetledi
Hamed Zamani
Hamed Zamani@HamedZamani·
We've shaped an awesome PC for the #LND4IR workshop @sigir2018 (visit our website lnd4ir.github.io). #LND4IR is non-archival and the submission due is in 1 week (May 4th). We're waiting for your great work. #SIGIR2018 cc @m__dehghani @diazf_acm @dr_hang_li @nick_craswell twitter.com/HamedZamani/st…
Hamed Zamani@HamedZamani

Happy to announce: we'll organize a workshop on "Learning from Limited / Noisy Data for Information Retrieval" @sigir2018 #SIGIR2018 w/ @m__dehghani @diazf_acm @dr_hang_li @nick_craswell

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Keşfet

@SIGIR2023 @CarstenEickhoff @GlasgowCS @ir_glasgow @SIGIRConf @SIGIRForum @sigir_students @ACMSIGIR