Joemon Jose (@joemonj) 's Twitter Profile
Joemon Jose

@joemonj

IR researcher and academic

ID: 26711278

linkhttp://www.dcs.gla.ac.uk/~jj calendar_today26-03-2009 08:23:38

520 Tweet

605 Followers

257 Following

Fabrizio Silvestri (@fabreetseo) 's Twitter Profile Photo

📷 Thrilled to announce our workshop "Information Retrieval's Role in RAG Systems (IR-RAG)" has been accepted at #SIGIR2024! 📷 Can't wait to share ideas, innovations, and connect with fellow enthusiasts. #IRRAG2024 #InformationRetrieval #AIResearch coda.io/@rstless-group…

Zijun Long (@zijunlong) 's Twitter Profile Photo

Glad to share that our paper "CFIR: Fast and Effective Long-Text to Image Retrieval for Large Corpora" has been accepted at #SIGIR2024 as a full paper, a joint work with Xuri Ge, Richard McCreadie, and Joemon Jose.

Junchen Fu (@ron_junchen_fu) 's Twitter Profile Photo

Our paper, "IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT," has been accepted at #SIGIR2024 as a full paper!🎉🎉🎉 Thrilled to share this collaboration with Xuri Ge , Joemon Jose , Alexandros, & Ioannis Arapakis. 👏👏👏

Claudia Hauff 🇪🇺 🇺🇦 🇩🇪 🇳🇱 (@charlottehase) 's Twitter Profile Photo

I really love the idea of MonsterCLEF at #clef2024! monsterclef.dei.unipd.it Makes so much sense but also hard to pull off! A meta-challenge organized so that task-specific LLMs run against diverse tasks without adapatation. New test data for each task, so no data leakage!

Alexandros (@alexk_z) 's Twitter Profile Photo

"Reinforcement Learning-based Recommender Systems with LLM for State Reward and Action Modeling" has been just accepted at #SIGIR2024 LLM (LE) simulates the user interactions generating state actions and rewards that are used to train the model with RL. arxiv.org/abs/2403.16948

"Reinforcement Learning-based Recommender Systems with LLM for State Reward and Action Modeling" has been just accepted at #SIGIR2024 
LLM (LE)  simulates the user interactions generating state actions and rewards that are used to train the model with RL. arxiv.org/abs/2403.16948
Mounia Lalmas (@mounialalmas) 's Twitter Profile Photo

I am really honoured to join this amazing group of IR scholars. SIGIR has been a big part of my growth as a researcher, so a big thank you. It feels extra special to be welcomed into the SIGIR Academy with Mark Sanderson; we both started working on IR around the same time in Glasgow.

Hideo Joho (@hideo_joho) 's Twitter Profile Photo

Delighted to share that I'll be spending part of my sabbatical at the University of Glasgow until March 2025. Grateful to Joemon Jose for hosting me. Looking forward to meeting former colleagues and new friends.

Ioannis Arapakis (@iarapakis) 's Twitter Profile Photo

Beyond a successful submission, it has also been an adrenaline-fueled research sprint positioned on the SoA of Reinforcement Learning-based Recommender Systems with Large Language Models, with JieWang, Joemon Jose and Alexandros Our paper is available here: arxiv.org/abs/2403.16948

Xuri Ge (@solis_xurige) 's Twitter Profile Photo

We (Zihan Wang, Joemon Jose, HaitaoYu, Weizhi Ma,Zhaochun Ren, liew sui xin) are holding the R^3AG workshop(r3ag-sigir-ap.github.io) on SIGIR-AP2024 (December 9-12, 2024, Tokyo, Japan); The topics mainly include Reliable RAG-related research. Submission DDL: October 3, 2024

Xuri Ge (@solis_xurige) 's Twitter Profile Photo

Glad to organize the 1st EReL@MIR Workshop (Efficient Representation Learning for Multimodal IR) erel-mir.github.io at The Webconf25 (Sydney, Australia) with Joemon Jose Alexandros Ioannis Arapakis XinXin Yue Feng 耕深 Junchen Fu . Welcome everyone to contribute.

Glad to organize the 1st EReL@MIR Workshop (Efficient Representation Learning for Multimodal IR) erel-mir.github.io at The Webconf25 (Sydney, Australia) with <a href="/joemonj/">Joemon Jose</a> <a href="/alexk_z/">Alexandros</a> <a href="/iarapakis/">Ioannis Arapakis</a> <a href="/XinXin_SDU/">XinXin</a> <a href="/YueFeng__/">Yue Feng</a>  <a href="/twitoogle/">耕深</a> <a href="/ron_junchen_fu/">Junchen Fu</a> .
Welcome everyone to contribute.
Xuri Ge (@solis_xurige) 's Twitter Profile Photo

Joemon Jose Alexandros Ioannis Arapakis XinXin Yue Feng 耕深 Junchen Fu Important Dates Submission Deadlines: January 1, 2025 Acceptance Notification: 13 January, 2025 Camera-ready: 2 February, 2025 EReL@MIR Workshop: 28-29 April 2025 Deadlines refer to 23:59 (11:59 pm) in the AoE (Anywhere on Earth) time zone.

SIGIR 2025 (@sigirconf) 's Twitter Profile Photo

📣 📣 The #sigir2025 LiveRAG Challenge is open at: sigir2025.dei.unipd.it/live-rag-chall… Prizes: - First Prize: $5000 - Second Prize: $3000 - Third Prize: $2000 Deadlines: - Application submission deadline: February 24, 2025 More info? Ask [email protected].

📣 📣 The #sigir2025 LiveRAG Challenge is open at:

sigir2025.dei.unipd.it/live-rag-chall…

Prizes:
- First Prize: $5000
- Second Prize: $3000
- Third Prize: $2000

Deadlines:
- Application submission deadline: February 24, 2025

More info? Ask sigir2025-liverag-gen@tii.ae.
Ioannis Arapakis (@iarapakis) 's Twitter Profile Photo

I am excited to kick off this year with our first perspectives article, exploring bio-inspired AI and its groundbreaking applications in Telecommunications and Cybersecurity! lnkd.in/dKsuiM-i #telefonicascientificresearch #discovery #tid #ai #neuroscience

Andrew Ng (@andrewyng) 's Twitter Profile Photo

New short course: Attention in Transformers: Concepts and Code in PyTorch. Last week we released a course on how LLM transformers work. This week, go deeper and learn about the technical ideas behind the attention mechanism, and see how to code it in PyTorch. This course is

Ioannis Arapakis (@iarapakis) 's Twitter Profile Photo

Big congrats to Ángela López Cardona & Sebastian Idesis on our latest IJCNN publication! We review how cognitive signals, esp. eye tracking, enhance language & image understanding in LLMs & VQA. Preprint: lnkd.in/erHm9NUx #AI #NLP #eyetracking #LLMs #IJCNN #TID

Big congrats to Ángela López Cardona &amp; Sebastian Idesis on our latest IJCNN publication! We review how cognitive signals, esp. eye tracking, enhance language &amp; image understanding in LLMs &amp; VQA. Preprint: lnkd.in/erHm9NUx
#AI #NLP #eyetracking #LLMs #IJCNN #TID