Avishek Anand retweetledi
We are happy to sponsor the Keith Van Rijsbergen (KvR) Award at #ECIR2026
📢 𝗡𝗼𝗺𝗶𝗻𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗿𝗲 𝗻𝗼𝘄 𝗼𝗽𝗲𝗻!
Details and Submission Form: lnkd.in/emecdsXm
🗓 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲: 𝟭𝟱 𝗝𝗮𝗻𝘂𝗮𝗿𝘆 𝟮𝟬𝟮𝟲
linkedin.com/posts/glasgow-…
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Avishek Anand
586 posts
Avishek Anand
@run4avi
Associate Professor @ TU Delft, Explainable information retrieval, efficiency and scalability in ir, Sports buff
Katılım Kasım 2008
499 Takip Edilen673 Takipçiler
Avishek Anand retweetledi
Indeed, awesome to see another method leverage rerankers with document proximity to overcome first-stage recall limitations 🤓
Mandeep Rathee@rathee_mandeep
Happy to see another research group, @haike_xu working in the same direction and our SlideGAR in the BRIGHT world. However, Reranker-Guided Search is not new. There are papers like Quam (WSDM'25), ORE (SIGIR'25), ReFIT(SIGIR'25), TOUR (ACL'23) that use the ranker's guidance.
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Avishek Anand retweetledi
We have also released our survey paper, which unifies feedback-based (including Reranker) methods to improve the search, both in Retrieval and RAG tasks.
- Test-time Corpus Feedback: From Retrieval to RAG arxiv.org/pdf/2508.15437
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Avishek Anand retweetledi
Happy to see another research group, @haike_xu working in the same direction and our SlideGAR in the BRIGHT world. However, Reranker-Guided Search is not new. There are papers like Quam (WSDM'25), ORE (SIGIR'25), ReFIT(SIGIR'25), TOUR (ACL'23) that use the ranker's guidance.
Sumit@_reachsumit
Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval @haike_xu et al. propose a graph-based search method that strategically selects documents for reranking. 📝arxiv.org/abs/2509.07163 👨🏽💻github.com/xuhaike/Rerank…
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Avishek Anand retweetledi
Can we compose skills for solving a task by principled selection of exemplars to use in In-Context Learning. We answer this question in our ICML 2025 paper with @kiranpurohit08 @run4avi @sourangshub
📜 Paper: arxiv.org/abs/2506.08607
🧑💻 Code: github.com/kiranpurohit/C…
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Avishek Anand retweetledi
🚀 Excited to share the preprint and code for our ICML 2025 paper.
📑 Preprint: "Sample Efficient Demonstration Selection for ICL"
🔗 arxiv.org/pdf/2506.08607
💻 Code:
🔗 github.com/kiranpurohit/C…
🌐 Project Page:
🔗 kiranpurohit.github.io/CASE-Bandit/
@vvenki22, @sourangshub, @run4avi
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Avishek Anand retweetledi
Had a great time at #ECIR2025! 🎉 in Lucca, Italy. I met some amazing researchers. Really enjoyed the company for my all collaborators @vvenki22 , @macavaney and @run4avi. Thanks @vinaysetty for suggesting amazing food places in the city.
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ECIR 2025 was a great success. Hoping to make a memorable #ECIR2026 with the dream team of @suzan and @zhaochun_ren … We will be preparing to welcoming all of us to Delft.
ECIR2025@ecir2025
…and the next ECIR will be in Delft, The Netherlands! See you at #Ecir2026 @run4avi
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Excited for our Explainable IR tutorial at ECIR 2025 with @vvenky42 & Sourav Saha! Sunday morning ☀️: elixir-research-group.github.io/ECIR25-Explain… #ECIR2025 💡 #ExplainableIR
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Avishek Anand retweetledi
It was a great experience to present my work at the Glasgow IR group @ir_glasgow. This talk was based on recently accepted papers -Quam (accepted at #WSDM2025) and SlideGAR (accepted at #ECIR2025) --done in collaboration with Sean MacAvaney @macavaney and Avishek Anand @run4avi
Zixuan Yi@ZixuanYI_
Today, Mandeep Rathee @rathee_mandeep from the L3S Research Center @l3s_luh is giving an #IRTalk entitled "Beyond Bounded Recall: Adaptive Retrieval using Query Affinity Modelling and LLM based Rerankers". Details: samoa.dcs.gla.ac.uk/events/viewtal… @GlasgowCS @ir_glasgow
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Avishek Anand retweetledi
Avishek Anand retweetledi
"ACM ICTIR, formerly known as the “ACM SIGIR International Conference on the Theory of Information Retrieval”, is renamed to ACM SIGIR International Conference on Innovative Concepts and Theories in Information Retrieval." @acm_ictir #ictir2025
ictir2025.cs.umass.edu
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Avishek Anand retweetledi
Talk By Manish Gupta (Microsoft Research): Tutorial-2: Retrieval Augmented Generation
#indoml2024 @gangulyniloy @appcair @bitspilaniindia
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Avishek Anand retweetledi
Day 2:
Talk by Avishek Anand @run4avi (Delft University of Technology): Explainable information retrieval
#indoml2024
@gangulyniloy @appcair @bitspilaniindia
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Amazing talk by @MilindTambe_AI literally saving lives.
Kudos to the organisers of #indoml24 . Great talks in day 1. Tough act to follow in day 2 ;-)
@indoml_sym
Milind Tambe (Moved @milindtambe-ai.bsky.social)@MilindTambe_AI
At IndoML'24 discussing use of foundation models to accelerate #AIforSocialImpact
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Avishek Anand retweetledi
Sharing with permission: The daughter of one of our colleagues in the SIGIR community passed away from an epileptic seizure. If you'd like to support -- he is now organizing a donation to help provide support to epilepsy patients and their loved ones: epilepsie.digicollect.nl/maarten-de-rij…
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@JonasWallat presented our work at #cikm2024 titled “Causal Probing for Dual Encoders,” that applies causal probing to dual encoders directly, revealing which IR properties they genuinely use.
Check out our work here: lnkd.in/eCKYMuak
#CIKM2024 #InformationRetrieval
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Avishek Anand retweetledi
@zhaochun_ren This is amazing @zhaochun_ren .. many congratulations 🙌
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Thrilled to have won the Best Paper Award at the top conference on recommender systems, #RecSys2024 .
Congratulations to my students Xiaoyu Zhang and Yougang Lyu, and thanks to our co-authors!
Zhaochun Ren@zhaochun_ren
So glad our paper is nominated for Best Paper for #RecSys2024; we will present our work on Thursday afternoon at the Large Language Models 2 session.
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