Dr. Prabhat Bharti

Research Faculty | Exploring Peer Review Quality, Scientometrics & Scholarly Communication with AI, ML, NLP & Computational Linguistics.

[Tirthankar Ghosal @TirthankarSlg]

Join us at the @wiesp_nlp workshop for our #findings on the #citation #functions #sharedtask👉 #FOCAL2023
#WIESP2023 will be #hybrid at #AACL2023 on Nov 1 at 9:00 am #Bali time
@FelixGrezes
Schedule👉https://t.co/pigxUqy37A
IInterested to attend? Fill in👉https://t.co/elpiwTgbaY

[Dr. Prabhat Bharti @csprabhat]

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[Dr. Prabhat Bharti @csprabhat]

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[Dr. Prabhat Bharti @csprabhat]

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[Dr. Prabhat Bharti @csprabhat]

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[Dr. Prabhat Bharti @csprabhat]

Rf https://t.co/ZfuK3FWqoz

[AI-NLP-ML @ IITP @ai_nlp_ml_iitp]

Recent acceptance from our group:

P. K. Bharti, T. Ghosal, M. Agarwal, and A. Ekbal (2023). PEERRec: An AI-based Approach to automatically generate recommendations and predict decisions in peer review. In International Journal on Digital Libraries (Springer). IF: 1.8, h5: 23

[AI-NLP-ML @ IITP @ai_nlp_ml_iitp]

Recent acceptance from our group:

P. K. Bharti, M. Navlakha, M. Agarwal, and A. Ekbal (2023). PolitePEER: does peer review hurt? A dataset to gauge politeness intensity in the peer reviews. In Language Resources and Evaluation (Springer). (IF: 1.83)

Congratulations!!

#NLProc

[AAAI @RealAAAI]

AAAI would like to announce a new way to release code and trained models associated with accepted papers. Through the use of an AI Pubs RAIL License from the RAIL Initiative, authors can elect to release their code and trained models under terms that permit free and open access but are subject to usage restrictions. Full details: https://t.co/d8RRbteAec

[AI Conference DL Countdown @DlCountdown]

ICCV 23: 3 days.
MICCAI 23: 4 days.
ECML-PKDD 23 (abs): 21 days.
ECML-PKDD 23 (pap): 28 days.
MM 23 (abs): 49 days.
MM 23 (pap): 56 days.
ECAI 23 (abs): 58 days.
ECAI 23 (pap): 64 days.
BMVC 23: 68 days.
NeurIPS 23 (abs): 67 days.
NeurIPS 23 (pap): 73 days.
CORL 23: 95 days.

[Aran Komatsuzaki @arankomatsuzaki]

Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reviews recent approaches that ground foundation models in practical decision making applications.

https://t.co/5Yrbmf6Poo

[TPDL2022 - 2023 @tpdl2022]

More information about TPDL2023 are coming out soon. We can say that it’ll be in Zadar, Croatia from 26 to 29 September and the submission deadline will be in May 2023.
Stay tuned. More coming next week!

[ECML PKDD @ECMLPKDD]

🎊The Call for Papers for #ECMLPKDD2023 is officially open!

You can submit novel research papers to the 🔬 Research Track and papers on compelling ML/DM/KD applications to the 🔨 Applied Data Science Track!

You can find all info (w/ deadlines) at:
🔗 https://t.co/3tuzjCWwNC

[elvis @omarsar0]

Open Problems in Applied Deep Learning

If you're looking for interesting open problems in DL, this is a good reference.

Not sure if intentional but it also looks useful to get a general picture of current trends in deep learning with ~300 references.

https://t.co/AXEZQNtCjr

[Aran Komatsuzaki @arankomatsuzaki]

A Watermark for Large Language Models

Proposes a watermarking framework for proprietary language models and a statistical test for detecting
the watermark using OPT.

https://t.co/QG0rOGQMCk

[SciSpace @scispace]

Think AI can't explain research papers to you? Think again! 🤯 With SciSpace Copilot, understanding any paper just got a whole lot easier. 💪 Get a look at all the features it has to offer here: https://t.co/wfo2hzlYQe

#AcademicTwitter #Research #AI

[SciSpace @scispace]

In case you missed our Introduction to SciSpace Copilot webinar hosted by @AnnaDyagileva1, it's now available on #youtube for you to watch 👏

This webinar highlighted how our assistant AI could help you with reading and understanding research papers ➡️https://t.co/E6SdUgputj

[SciSpace @scispace]

Hours’ worth of reading papers, now done in minutes.😍

Simple explanations on confusing text, maths, and tables.📊

Ask follow-up questions, get instant answers.🙂

Follow @scispace to learn how!

#AcademicTwitter #Researchtools #GPT3 #AI #phdlife

[SciSpace @scispace]

Thanks for the wonderful thread, Farid! 🙌

[elvis @omarsar0]

This new course by @karpathy is 🔥!

I like that it goes deep into how to implement and use neural networks. The content complements other courses where NN details are typically skipped.

https://t.co/irhG0L14ZP