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Chuan Meng

@chuanmeng.bsky.social
81 followers 40 following 30 posts

Postdoc at the University of Edinburgh | PhD, University of Amsterdam | Former Applied Scientist Intern at Amazon

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Chuan Meng @chuanmeng.bsky.social · 29/06/2026
Join our #WWW2026 tutorial, Conversational Search: From Fundamentals to Frontiers in the Age of Agents, happening tomorrow, 30 June, from 10:00–13:30 UAE time in Hall 2. Website: convsearch.github.io Presented by Fengran Mo, @aliannejadi.bsky.social, Jeff Dalton, Jian-Yun Nie, and me
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Chuan Meng @chuanmeng.bsky.social · 09/04/2026
Delighted to share that our paper "Revisiting Text Ranking in Deep Research" w/ Litu Ou, Sean MacAvaney and Jeff Dalton got accepted at #SIGIR2026 TL;DR: Methods developed by the IR community remain highly competitive in deep research 📄: arxiv.org/pdf/2602.21456 💻: github.com/ChuanMeng/te...
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Chuan Meng @chuanmeng.bsky.social · 28/03/2026
Join our #ECIR2026 tutorial on Conversational Search: Foundations, Large Language Models, and Agents 🗓 29 March (tomorrow) 🕘 09:00–12:30 📍 Lecture Room D, Aula Conference Centre, TU Delft 🔗 convsearch.github.io/ecir2026/ With Fengran Mo, @aliannejadi.bsky.social, Jeff Dalton, Jian-Yun Nie and me
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Chuan Meng @chuanmeng.bsky.social · 18/12/2025
Happy to share that our paper "Generative Retrieval with Few-shot Indexing" has been accepted at #ECIR2026, with Arian Askari, @aliannejadi.bsky.social, Zhaochun Ren, Evangelos Kanoulas, and @suzanv.bsky.social. We propose a training-free generative retrieval method with much faster indexing
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Chuan Meng @chuanmeng.bsky.social · 18/12/2025
Happy to share that our tutorial "Conversational Search: Foundations, Large Language Models, and Agents" has been accepted at #ECIR2026, with Fengran Mo, @aliannejadi.bsky.social, Jeff Dalton, and Jian-Yun Nie. Look forward to discussions on conversational agents. #agents #ai
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Chuan Meng @chuanmeng.bsky.social · 17/07/2025
Our slides for the SIGIR 2025 tutorial on Conversational Search in the LLM era are now online: 🔗 convsearch.github.io
convsearch.github.io
Conversational Search: From Fundamentals to Frontiers in the LLM Era
Conversational Search: From Fundamentals to Frontiers in the LLM Era
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Chuan Meng @chuanmeng.bsky.social · 15/07/2025
I’ll present our full paper "Bridging the Gap: From Ad-hoc to Proactive Search in Conversations" tomorrow morning (16 July) at #SIGIR2025, in the Conversational IR and Intelligent Agents session, MANTEGNA Platea, Floor 1, 10:30–12:30. Paper: dl.acm.org/doi/10.1145/...
dl.acm.org
Bridging the Gap: From Ad-hoc to Proactive Search in Conversations | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Chuan Meng @chuanmeng.bsky.social · 12/07/2025
Join us at #SIGIR2025 for our tutorial "Conversational Search: From Fundamentals to Frontiers in the LLM Era", scheduled for 13 July (tomorrow) from 9:00 to 12:30 at CARRARESL, Floor 0, Padova Congress Center. Presented by Fengran Mo, @aliannejadi.bsky.social, Jian-Yun Nie, and me.
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Chuan Meng @chuanmeng.bsky.social · 21/06/2025
I defended my PhD thesis "Optimizing Agentic Workflows for Information Access" on 19 June 2025. I’m deeply grateful to my supervisors Maarten de Rijke and @aliannejadi.bsky.social. Thanks to my committee members, Evangelos Kanoulas, Christof Monz, Zhaochun Ren, Andrew Yates, and Emine Yilmaz.
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Chuan Meng @chuanmeng.bsky.social · 26/05/2025
Excited to share that our paper "Query Performance Prediction using Relevance Judgments Generated by Large Language Models" got accepted by ACM Transactions on Information Systems (TOIS) with Negar Arabzadeh, Arian Askari, @aliannejadi.bsky.social, Maarten de Rijke. Link: dl.acm.org/doi/10.1145/...
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Chuan Meng @chuanmeng.bsky.social · 19/04/2025
Happy to share that our tutorial “Conversational Search: From Fundamentals to Frontiers in the LLM Era”, with Fengran Mo, @aliannejadi.bsky.social, and Jian-Yun Nie, has been accepted at #SIGIR2025! Look forward to engaging discussions on LLM-based and agentic conversational search.
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Chuan Meng @chuanmeng.bsky.social · 10/04/2025
Join us for the QPP Workshop today starting at 9 AM in the Sagrestia, IMT Campus!
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Chuan Meng @chuanmeng.bsky.social · 06/04/2025
Delighted to share that our paper “Bridging the Gap: From Ad-hoc to Proactive Search in Conversations” has been accepted as a full paper at #SIGIR2025. This work was done during my internship at Amazon, w/ Francesco Tonolini, Fengran Mo, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai
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Chuan Meng @chuanmeng.bsky.social · 04/04/2025
📢 The final schedule for the ECIR 2025 workshop on Query Performance Prediction in the era of LLMs is now live! 📅 Join us on 10th April 2025: qppworkshop.github.io 🎤 Keynote by @gdebasis.bsky.social: "The Role of Query Performance Prediction in Developing Adaptive Search and RAG Systems"
qppworkshop.github.io
QPP++ 2025: Query Performance Prediction and its Applications in the Era of Large Language Models
QPP++ 2025: Query Performance Prediction and its Applications in the Era of Large Language Models
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Chuan Meng @chuanmeng.bsky.social · 10/03/2025
Today is the submission deadline! Don’t forget to submit your paper.
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Chuan Meng @chuanmeng.bsky.social · 10/03/2025
Negar is kicking off our Query Performance Prediction (QPP) tutorial at WSDM 2025. If you are attending WSDM, join us at Konferenzraum 15.
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Chuan Meng @chuanmeng.bsky.social · 22/02/2025
📢 Due to some requests, we have EXTENDED the submission deadline by ‼️TWO WEEKS‼️ 📝 New Submission Deadline: 10th March, 2025 We welcome both original and previously published papers for presentation at the workshop.
qppworkshop.github.io
QPP++ 2025: Query Performance Prediction and its Applications in the Era of Large Language Models
QPP++ 2025: Query Performance Prediction and its Applications in the Era of Large Language Models
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Chuan Meng @chuanmeng.bsky.social · 19/02/2025
🚨 Deadline Alert! The QPP++ 2025 workshop on QPP in the era of LLMs is almost here—submit your paper by 24th Feb. 🔗 Website: qppworkshop.github.io
qppworkshop.github.io
QPP++ 2025: Query Performance Prediction and its Applications in the Era of Large Language Models
QPP++ 2025: Query Performance Prediction and its Applications in the Era of Large Language Models
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Chuan Meng @chuanmeng.bsky.social · 21/12/2024
Delighted to share that our full paper “Zero-Shot and Efficient Clarification Need Prediction in Conversational Search" w/ Lili Lu, Federico Ravenda, @aliannejadi.bsky.social, Fabio Crestani has been accepted at #ECIR2025.
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Chuan Meng @chuanmeng.bsky.social · 08/12/2024
Join us for our tutorial, "Query Performance Prediction: Techniques and Applications in Modern Information Retrieval" w/ Negar Arabzadeh, @aliannejadi.bsky.social, Ebrahim Bagheri, starting at 9:00 AM on Monday (9th Dec 2024) in Room 04. Don't miss it! #sigirap2024
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Chuan Meng @chuanmeng.bsky.social · 04/12/2024
📢 Call for Papers! The QPP++ 2025 workshop on Query Performance Prediction in the era of LLMs will be held at ECIR 2025 in Lucca, Italy🇮🇹, organised by Guglielmo Faggioli, @aliannejadi.bsky.social, Nicola Ferro, Josanne Mothe and myself. 🔗 Website: qppworkshop.github.io 🗓 Deadline: 24th Feb 2025
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