Associate Professor @ TU Delft, Explainable information retrieval, efficiency and scalability in ir, Sports buff

Joined November 2008
44 Photos and videos
Avishek Anand retweeted
We are happy to sponsor the Keith Van Rijsbergen (KvR) Award at #ECIR2026 ๐Ÿ“ข ๐—ก๐—ผ๐—บ๐—ถ๐—ป๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—ฎ๐—ฟ๐—ฒ ๐—ป๐—ผ๐˜„ ๐—ผ๐—ฝ๐—ฒ๐—ป! Details and Submission Form: lnkd.in/emecdsXm ๐Ÿ—“ ๐——๐—ฒ๐—ฎ๐—ฑ๐—น๐—ถ๐—ป๐—ฒ: ๐Ÿญ๐Ÿฑ ๐—๐—ฎ๐—ป๐˜‚๐—ฎ๐—ฟ๐˜† ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ linkedin.com/posts/glasgow-iโ€ฆ
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Avishek Anand retweeted
Indeed, awesome to see another method leverage rerankers with document proximity to overcome first-stage recall limitations ๐Ÿค“
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 retweeted
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 retweeted
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.
10 Sep 2025
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. ๐Ÿ“arxiv.org/abs/2509.07163 ๐Ÿ‘จ๐Ÿฝโ€๐Ÿ’ปgithub.com/xuhaike/Reranker-โ€ฆ
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Avishek Anand retweeted
14 Jun 2025
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 ๐Ÿ“œ Paper: arxiv.org/abs/2506.08607 ๐Ÿง‘โ€๐Ÿ’ป Code: github.com/kiranpurohit/CASE (1/5)
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Avishek Anand retweeted
๐Ÿš€ Excited to share the preprint and code for our ICML 2025 paper. ๐Ÿ“‘ Preprint: "Sample Efficient Demonstration Selection for ICL" ๐Ÿ”— arxiv.org/pdf/2506.08607 ๐Ÿ’ป Code: ๐Ÿ”— github.com/kiranpurohit/CASE ๐ŸŒ Project Page: ๐Ÿ”— kiranpurohit.github.io/CASE-โ€ฆ @vvenki22, @sourangshub, @run4avi
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Avishek Anand retweeted
Had a great time at #ECIR2025! ๐ŸŽ‰ 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 โ€ฆ We will be preparing to welcoming all of us to Delft.
9 Apr 2025
โ€ฆand 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 โ˜€๏ธ: elixir-research-group.githubโ€ฆ #ECIR2025 ๐Ÿ’ก #ExplainableIR

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Avishek Anand retweeted
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
3 Mar 2025
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/vโ€ฆ @GlasgowCS @ir_glasgow
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Avishek Anand retweeted
16 Feb 2025
I am also currently on academic job market. I am currently focusing on scaling retrieval and reasoning for complex knowledge intensive tasks. Please feel free to connect with me if these research goals interest you.
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"ACM ICTIR, formerly known as the โ€œACM SIGIR International Conference on the Theory of Information Retrievalโ€, 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 retweeted
Talk By Manish Gupta (Microsoft Research): Tutorial-2: Retrieval Augmented Generation #indoml2024 @gangulyniloy @appcair @bitspilaniindia
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Avishek Anand retweeted
Day 2: Talk by Avishek Anand @run4avi (Delft University of Technology): Explainable information retrieval #indoml2024 @gangulyniloy @appcair @bitspilaniindia
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21 Dec 2024
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
At IndoML'24 discussing use of foundation models to accelerate #AIforSocialImpact
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Avishek Anand retweeted
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/maaโ€ฆ
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Avishek Anand retweeted
23 Oct 2024
๐Ÿš€ Conference Presentation Alert! ๐Ÿš€ Excited to announce that our paper, "Understanding the User: An Intent-Based Ranking Dataset,"ย a work led by @abhijit Anand, with @mr_jleo and @run4avi will be presented at CIKM 2024! ๐ŸŽ‰โœจ (1/3)
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16 Oct 2024
Wow .. thatโ€™s amazing ๐Ÿคฉ
15 Oct 2024
Great way to start #RecSys2024 : @r_ungruh paper is nominated for Best Paper! ๐Ÿ‘๐Ÿ‘๐Ÿ‘ doi.org/10.1145/3640457.3688โ€ฆ @wisdelft
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30 Sep 2024
Attending the Search and Relevance conference #haystack-conference today. @macavaney is speaking about rethinking reranking.
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29 Sep 2024
๐Ÿš€ Calling for demo papers for WSDM 2025 before the October 4 (AOE) deadline. Donโ€™t miss this opportunity to showcase your work! Submit here: cmt3.research.microsoft.com/โ€ฆ #WSDM2025

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