Daniel Cohen

[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 !!!

[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: https://t.co/m4dWTS5r1o

[Zhichao Xu Brutus @zhichaoxu_ir]

Draft made available on arXiv ! 👇https://t.co/nidauckDqF

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 📃.

[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 👇🧵

[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.

[Xi Wang @wangxieric]

Monday, 11th October, 15:00 pm (GMT) Daniel Cohen
@dcohenIR, from Brown University, will be giving an #IRTalk @GlasgowCS @ir_glasgow on "Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models". Event details at https://t.co/jhZzGPzbze. Registration opened.

[Daniel Cohen @dcohenIR]

The #sigir2021 preprint is out! https://t.co/I2HwSZVGf3

[Daniel Cohen @dcohenIR]

Excited to share that our full paper "Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models" was accepted at #sigir2021!
Coauthors: @UnderdogGeek Oleg Lesota @navidrekabsaz @CarstenEickhoff.

Stay tuned for the preprint!

[Hamed Zamani @HamedZamani]

I wrote a blog post that reports and summarizes some statistics on the #SIGIR2021 accepted papers. Check it out if you're interested: https://t.co/sjPNBOrj5i

@SIGIRConf @SIGIRForum @sigir_students @ACMSIGIR

A thread 👇

[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!

[Daniel Cohen @dcohenIR]

Excited to share that our full paper "Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models" was accepted at #sigir2021!
Coauthors: @UnderdogGeek Oleg Lesota @navidrekabsaz @CarstenEickhoff.

Stay tuned for the preprint!

[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)

[Daniel Cohen @dcohenIR]

@CharlotteHase @UnderdogGeek It will be! It's currently being cleaned up and made usable for public release.

[Manning College of Information & Computer Sciences @manningcics]

#UMassCICS Center for Intelligent Information Retrieval researchers, prof. Bruce Croft (@wbc11) and PhD students Daniel Cohen and Hamed Zamani, have received a competitive @TechAtBloombergData Science Research Grant Program Award. Way to go! https://t.co/WAb1oqLwE3

[Reza Zadeh @Reza_Zadeh]

Very detailed notes of #ICML2018 conference. 55 pages from David Abel. https://t.co/Odi1u0mMlr

[Katja Hofmann @katjahofmann]

Our paper received the #sigir2018 best short paper reward! Fantastic work by our former intern @dcohenIR \w @UnderdogGeek @wbc11

[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 https://t.co/aQI6lIhOZZ

[Jaap Kamps @jkamps]

Please retweet/like/comment on this call for science without borders or other barriers! #OpenScience #TravelBan https://t.co/va0DXgVVcK

[Hamed Zamani @HamedZamani]

Check out the list of papers accepted to the #LND4IR workshop:
https://t.co/HR3WcQbfk3

Congrats to the authors of accepted papers!

#SIGIR2018 @sigir2018

[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! https://t.co/iAoix1OAS4

[Hamed Zamani @HamedZamani]

We've shaped an awesome PC for the #LND4IR workshop @sigir2018 (visit our website https://t.co/HR3WcQbfk3). #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 https://t.co/XN8FRCChUg