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 https://t.co/BaPtbfjH86

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.

@macavaney and I have a PhD studentship with the RAi-funded PROBabLE Futures project to look at responsible usage of LLM-based tools in high-stakes decision-making. Deadline: 30 Sept Details & apply: https://t.co/D9UscAw8An @responsibleaiuk @ir_glasgow @GlasgowCS

🎉 Just wrapped up an incredible experience at #SIGIR2025 in beautiful Padova, Italy! Had the privilege of presenting my research paper and connecting with brilliant minds from the IR community.  Big thanks to amazing collaborators @vvenki22, @macavaney, and @run4avi

Lucky to work with him.

I will present our paper “Breaking the lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets” at #SIGIR2025 🕰️ 10:30 AM (16.07.2025) 📍Location: GIOTTO (Floor 0) Full Paper: https://t.co/tj1GsJBOyT Slides: https://t.co/fpVMIaDuar

Paramateric RAG paradigm from tutorial at #SIGIR2025

Neural Lexical Search tutorial at #SIGIR2025 is starting now.

🎉 Thrilled to share that I will presenting our paper SUNAR at #NAACL2025! on May 6, 2025 We introduce a novel approach that leverages LLMs to guide neighborhood-aware retrieval for complex QA. This work is done with @vvenki22 and @run4avi Full paper: https://t.co/LIn2PQrpIj

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.

About rankers and rerankers, now at #ECIR2025 in San Francesco Church, @IMTLucca

After a great banquet last night, now we're enjoying a great presentation from @rathee_mandeep about Guiding Retrieval using Large Language Models! @ir_glasgow @glasgow_cs #ECIR2025

I’m presenting my paper "Guiding Retrieval using LLM-based Listwise Rankers" at #ECIR2025 this Wednesday! This work is done with @macavaney and @run4avi We explore how LLMs can guide listwise ranking to improve search effectiveness. 📄 Paper: https://t.co/wdFlzsKLRe

SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA Leverages LLMs to guide Neighborhood Aware Retrieval, dynamically exploring document neighborhoods based on semantic uncertainty. 📝 https://t.co/GO63a830yh 👨🏽‍💻 https://t.co/SoFZhNCgHb

At 15:00 on 17th March, Venktesh Viswanathan from TU Delft @tudelft will give an #IRTalk entitled "Bridging Retrieval and Reasoning Gaps for Complex Information Needs". Details: https://t.co/ROB4pwqYaz @GlasgowCS @ir_glasgow

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

At 15:00 on 3rd March, Mandeep Rathee @rathee_mandeep from the L3S Research Center @l3s_luh will give an #IRTalk entitled "Beyond Bounded Recall: Adaptive Retrieval using Query Affinity Modelling and LLM based Rerankers". Details: https://t.co/9Pa6fVPAwL @GlasgowCS @ir_glasgow

Guiding Retrieval using LLM-based Listwise Rankers Introduces a method to integrate listwise LLM rerankers into adaptive retrieval, improving nDCG@10 by up to 13.23% and recall by 28.02% while maintaining efficiency. 📝 https://t.co/i5X7aScqwc 👨🏽‍💻 https://t.co/Nke6VSuuyX

Mandeep Rathee is presenting his work on "Bagel: A Benchmark for Assessing Graph Neural Network Explanation" at #AIMLAI (@ECML/PKDD 2024), work in collaboration with Thorben Funke, Avishek Anand and Megha Khosla

Thrilled to announce that our paper on 'Deep Reinforcement Learning Approach to Configuration Sampling Problem' with my PhD student Amir Abolfazli has won the Best Paper Award at #ICDM2023! 🌟 Kudos also to Jakob Spiegelberg, and Greg Palmer @l3s_luh @TUDelft_ai @tudelft