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Chuan Meng Profile
Chuan Meng

@ChuanMg

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127

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

Edinburgh, United Kingdom
Joined May 2021
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@ChuanMg
Chuan Meng
5 months
I defended my PhD thesis "Optimizing Agentic Workflows for Information Access" on 19 June 2025. I’m deeply grateful to my supervisors @mdr and @maliannejadi. Thanks to my committee members, Evangelos Kanoulas, Christof Monz, @zhaochun_ren, @andrewyates, and Emine Yilmaz.
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@ChuanMg
Chuan Meng
14 days
Thanks for having me!
@wangxieric
Xi Wang
14 days
Earlier today, we had a very successful panel discussion on proactive conversational information seeking with active discussions from both panel members and audience. Thanks to the panel members for their support: @ppsunrise @NegarEmpr @ydeng_dandy @merrafelice @ChuanMg
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@ChuanMg
Chuan Meng
14 days
I’ll be presenting our work “Conv2Title: A Conversation-to-Title Framework for Proactive Search in Conversations” at the Proactive LLMs Workshop (ProActLLM) today @cikm2025 at 11:00, and I’ll be on the panel discussion at 11:30. Details: https://t.co/DcEauysszb #CIKM2025
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@wangxieric
Xi Wang
1 month
We are excited to announce that we are looking for PhD students for two projects funded by the EPSRC Doctoral Landscape Award! Both projects explore how we can make LLMs more reliable and trustworthy with respect to writing better code or supporting safe clinical decisions. 🧵
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@ChuanMg
Chuan Meng
4 months
Our slides for the SIGIR 2025 tutorial on conversational search are now online: 🔗
convsearch.github.io
Conversational Search: From Fundamentals to Frontiers in the LLM Era
@ChuanMg
Chuan Meng
5 months
Join us for our #SIGIR2025 tutorial on Conversational Search: From Fundamentals to Frontiers in the LLM Era, scheduled for 13 July 2025 (tomorrow), from 9:00 to 12:30 in CARRARESL, Floor 0, at the Padova Congress Center.
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@ChuanMg
Chuan Meng
5 months
Joint work with Francesco Tonolini, Fengran Mo, @nikaletras, Emine Yilmaz, @gkazai
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@ChuanMg
Chuan Meng
5 months
I’ll present our full paper "Bridging the Gap: From Ad-hoc to Proactive Search in Conversations" tomorrow (16 July) at @SIGIRConf #SIGIR2025, in the Conversational IR and Intelligent Agents session, MANTEGNA Platea, Floor 1, 10:30–12:30. Paper: https://t.co/4XhLSzizAX
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@ChuanMg
Chuan Meng
5 months
Join us for our #SIGIR2025 tutorial on Conversational Search: From Fundamentals to Frontiers in the LLM Era, scheduled for 13 July 2025 (tomorrow), from 9:00 to 12:30 in CARRARESL, Floor 0, at the Padova Congress Center.
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@ChuanMg
Chuan Meng
5 months
Join us at @SIGIRConf #SIGIR2025 for our tutorial "Conversational Search: From Fundamentals to Frontiers in the LLM Era", happening 13 July (tomorrow) from 9:00 to 12:30 at CARRARESL, Floor 0, Padova Congress Center. Presented by Fengran Mo, @maliannejadi, Jian-Yun Nie, and me.
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@ChuanMg
Chuan Meng
5 months
The thesis is available online here:
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@ChuanMg
Chuan Meng
6 months
Can’t make it in person? You can join the livestream here:
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@ChuanMg
Chuan Meng
6 months
I will be defending my PhD thesis "Optimizing Agentic Workflows for Information Access" on Thursday, 19 June 2025 at 14:00 (CET), at the Aula of the University of Amsterdam (Singel 411, 1012 WN Amsterdam). It’s a public defence, so you’re very welcome to join in person if nearby!
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@ChuanMg
Chuan Meng
6 months
Read more:
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@ChuanMg
Chuan Meng
6 months
Key takeaway: Fine-tuning a 3B LLM yields more effective relevance judgments than few-shot prompting with a 70B LLM, showing that fine-tuning not only improves quality but also saves more query latency.
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@ChuanMg
Chuan Meng
6 months
Excited to share that our paper "Query Performance Prediction using Relevance Judgments Generated by Large Language Models" has been accepted by ACM Transactions on Information Systems (TOIS), with @NegarEmpr, @arian_ask, @maliannejadi, @mdr. https://t.co/ycJbcDR5w1
Tweet card summary image
dl.acm.org
Query performance prediction (QPP) aims to estimate the retrieval quality of a search system for a query without human relevance judgments. Previous QPP methods typically return a single scalar value...
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@SheffieldNLP
Sheffield NLP
6 months
Excited to share the list of SheffieldNLP accepted papers at @aclmeeting , @icmlconf , and @SIGIRConf Congrats to all authors, especially our first-time PhD presenters! 🎉 Thread coming soon with details on each paper!
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@ChuanMg
Chuan Meng
7 months
Happy to share that our tutorial “Conversational Search: From Fundamentals to Frontiers in the LLM Era”, with Fengran Mo, @maliannejadi and Jian-Yun Nie, got accepted at @SIGIRConf #SIGIR2025! Look forward to engaging discussions on LLM-based and agentic conversational search.
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@debforit
Debasis Ganguly
8 months
@ChuanMg @ecir2025 Delighted to deliver the keynote at the QPP++ workshop. Thanks a lot to the organizers @ChuanMg @guglielm0f @JosianeMotheFr for inviting me. Slides:
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@ChuanMg
Chuan Meng
8 months
Join us for the QPP Workshop today starting at 9 AM in the Sagrestia, IMT Campus!
@ChuanMg
Chuan Meng
8 months
📢 The final schedule for the Query Performance Prediction (QPP++ 2025) Workshop at @ecir2025 is now live! 📅 Join us on 10th April 2025: https://t.co/l4vWS6mVeP 🎤 Keynote by @debforit : "The Role of Query Performance Prediction in Developing Adaptive Search and RAG Systems"
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