Wang shuai (Dylan)

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Wang shuai (Dylan)

Wang shuai (Dylan)

@dylan_wangs

Postdoc at @Ielabgroup in @UQSchoolEECS | @UWAEMS alumni RAG, IR, NLP, Model Efficiency BlueSky: dylanshuaiwang

Brisbane, Queensland Katılım Şubat 2018
204 Takip Edilen218 Takipçiler
Wang shuai (Dylan)
Wang shuai (Dylan)@dylan_wangs·
What if you can turn any paper into a live demo with one command? for example: paper-demo-agent demo 1706.03762 It reads the paper and builds demo end-to-end(app, slides, project page, diagram...). 10 output types · 6 LLM Picture show example paper ⭐ github.com/wshuai190/Pape…
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Sumit
Sumit@_reachsumit·
Beyond Chunk-Then-Embed: A Comprehensive Taxonomy and Evaluation of Document Chunking Strategies for Information Retrieval Provides a systematic evaluation of doc chunking strategies for dense retrieval, finding that optimal methods are task-dependent. 📝arxiv.org/abs/2602.16974
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Wang shuai (Dylan)
Wang shuai (Dylan)@dylan_wangs·
I'm here in Sydney for WWW2025! see us this Thursday, at WWW conference at Posterboard-21, Short Paper & Demo Parkside Ballroom if you are interested!
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Wang shuai (Dylan)@dylan_wangs

Today in @SIGIRConf at M3.1, I will briefly introduce our newly published collection FeB4RAG! The collection is the first collection to evaluate Federated search in RAG. Our resource support evaluation of Resource Selection, Merging, and Human Evaluation on Answer Generation!

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Shuoqi Sun
Shuoqi Sun@shuoqi_sun·
Thank you so much @guidozuc ! It was great to collaborate with you and ieLab members @dylan_wangs @ShengyaoZhuang ! Hope to see you soon and work together again. 😁
Guido Zuccon@guidozuc

Yesterday I presented our #ECIR2025 paper "An Investigation of Prompt Variations for Zero-shot LLM-based Rankers", with @shuoqi_sun @ShengyaoZhuang @dylan_wangs. Yes, it was in a church! Slides at ielab.io/files/guido-20… and paper at arxiv.org/abs/2406.14117

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ielab
ielab@IELabGroup·
🎉 Excited to share the list of our @IELabGroup papers accepted at #SIGIR2025 @ACMSIGIR! Topics include efficiency in IR, domain-specific IR (SysRev, podcast), screenshot retrievers, hallucination detection, and more. See you in Padua 🇮🇹! Details coming soon, stay tuned!
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Sumit
Sumit@_reachsumit·
Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning @ShengyaoZhuang et al. introduce a LLM-based reranker that performs reasoning over queries and candidate documents before ranking. 📝arxiv.org/abs/2503.06034
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Wang shuai (Dylan)
Wang shuai (Dylan)@dylan_wangs·
@ShengyaoZhuang @bevan_koopman @guidozuc In this paper, we investigate how to use LLMs to generate Synthetic Labels to tune a downstream resource selectors in Federated Search (An Augmented Search Strategy selecting search engines for user retrieval results)
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Shuoqi Sun
Shuoqi Sun@shuoqi_sun·
Delighted to share our full paper "An Investigation of Prompt Variations for Zero-shot LLM-based Rankers" w/@ShengyaoZhuang @dylan_wangs @guidozuc has been accepted at @ecir2025! Huge thanks to co-authors. Check it out if you're into prompt variations & LLM-rankers. #ecir2025
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Bo
Bo@bo_wangbo·
This new training method won't be accepted in Europe. Everything is better than Starbucks☕️
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