Research Scientist at Bloomberg AI. Working with table retrieval and conversational AI. Opinions are my own.

London, England
Joined April 2017
Shuo Zhang retweeted
Compression Beyond the Uncompressed: A Two-Stage Training Recipe for Soft Context Compression in RAG @70LuonHfXrUWIz3 et al. train via imitation on correct RAG answers, then RL on RAG failures, surpassing uncompressed RAG at 16× compression. 📝arxiv.org/abs/2609.05152
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COPE, their new Mixture-of-Experts architecture meant to master the nuances of proactive strategy selection, enhances both recommendation accuracy & strategy optimization, thereby providing a robust framework to model the dynamism of conversational recommendation #SIGIR2026 (3/3)
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The paper, co-authored with our #AI Engineering group's @imsure318 and @sheffieldNLP's Xi Wang (@wangxieric), investigates the optimal timing & selection of preference elicitation strategies to advance conversational recommendation systems bloom.bg/4b3Doct #SIGIR2026 (2/3)
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In the "Personalized Recommendation & Preference Modeling" track at #SIGIR2026 in Melbourne today (11 AM AEST), @SheffieldNLP's Feng Xia presents "When and How to Ask: Dynamic Preference Elicitation Strategies for Conversational Recommendation" bloom.bg/4fdl2bs (1/3)
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#AI researcher @imsure318 helped organize today's Workshop on Proactive Conversational Information Seeking with Large Language Models (#ProActLLM) that's co-located with #CIKM2025 bloom.bg/43mOW6D #LLMs #GenAI #NLProc #InformationRetrieval #HCI #HumanComputerInteraction
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Our #AI Engineering group’s @imsure318 co-authored "Enhancing #RAG Efficiency with Adaptive Context Compression" with Shuyu Guo (Shandong University) & Zhaochun Ren (Leiden University); it's being presented at #EMNLP2025 today (13:00 CST) bloom.bg/48XV74J #GenAI (1/2)
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Our #AI Engineering group’s @imsure318 co-authored "Enhancing #RAG Efficiency with Adaptive Context Compression" with Shuyu Guo (Shandong University) & Zhaochun Ren (Leiden University); it's being presented at #EMNLP2025 today (13:00 CST) bloom.bg/3XahMU9 #GenAI (1/2)
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The paper introduces Adaptive Context Compression for #RAG (ACC-RAG), a way to teach the #AI system to “skim smartly” — similar to how people don’t read every single word in an article but focus on the most relevant parts bloom.bg/3XahMU9 #EMNLP2025 (2/2)
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📢 Call For Papers: 1st workshop on Proactive Conversational Information Seeking with Large Language Models @cikm2025 For more info visit: proactllm.github.io/ 📅 When: November 14, 2025 📝 Deadline: August 31, 2025 #ProActLLM #cikm2025 #LLM #ProactiveAI #ConversationalAI
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#AI researcher @imsure318 is an organizer of today's 2nd Workshop on Financial Information Retrieval in the Era of #GenerativeAI. FinIR 2025 addresses the challenges of using #GenAI in finance through advanced #InformationRetrieval techniques. bloom.bg/4lGqHrk #SIGIR2025
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Happenging in Meeting Room PALLADIO B now
#AI researcher @imsure318 is an organizer of today's 2nd Workshop on Financial Information Retrieval in the Era of #GenerativeAI. FinIR 2025 addresses the challenges of using #GenAI in finance through advanced #InformationRetrieval techniques. bloom.bg/44vFgHW #SIGIR2025
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Last keynote before wrapping up from Prof Rex Ying on RAG for Time Series.
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Prof. Yongjae Lee is giving a keynote on LLMs for portfolio optimization.
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@iadh is kicking off the first keynote on assets recommendations.
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At #SIGIR2025 today (10:30 AM CEST), @UvA_Amsterdam’s @MarieHendriksen & @mdr & Bloomberg's @imsure318, @ridhorei, @myahya & @edgarmeij present “Benchmark Granularity and Model Robustness for Image-Text Retrieval: A Reproducibility Study” bloom.bg/4kzweyf (1/3)
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At #SIGIR2025 today (10:30 AM CEST), @UvA_Amsterdam’s @MarieHendriksen & @mdr & Bloomberg's @imsure318, @ridhorei, @myahya & @edgarmeij present “Benchmark Granularity and Model Robustness for Image-Text Retrieval: A Reproducibility Study” bloom.bg/4eNXdVK (1/3)
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The paper's authors explored how robust vision-language models in real-world #multimodalIR systems are to textual perturbations by systematically testing models like ALIGN & CLIP, revealing surprising sensitivity to word order & granularity in benchmarks #SIGIR2025 (2/3)
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Researchers and engineers from @Bloomberg's #AI Engineering group co-authored 3 papers at #SIGIR2025 & helped co-organize the #FinIR workshop; learn more about their research & how their work will advance the state-of-the-art in #informationretrieval bloom.bg/44wckje (1/2)
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They'll be presenting their paper, "Enhancing #QuestionAnswering on Charts Through Effective Pre-training Tasks," during today's @BlackboxNLP poster sessions (11 AM & 3:30 PM EST). Their paper can be found in the #EMNLP2024 Proceedings: bloom.bg/3O36cG8 #AI #NLProc
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