Yulan He

115 posts

Yulan He

Yulan He

@yulanhe

Professor at the King's College London. Work on natural language processing, machine learning and sentiment analysis.

UK Katılım Nisan 2009
179 Takip Edilen535 Takipçiler
Yulan He
Yulan He@yulanhe·
Our @kclnlp group will present 9 papers in #EMNLP2025, including the ones highlighted by @yan_hanqi below.
Hanqi Yan@yan_hanqi

🚀 Thrilled to announce that I’ll be attending EMNLP 2025 (4Nov-9Nov) in Suzhou, China! 🇨🇳✨ I’ll be showcasing our latest research from #KCLNLP on implicit Chain-of-Thoughts (CoTs) and an AI Scientist demo system 🤖🧠 📘 CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation led by Zhenyi Shen 🔗 lnkd.in/gt587qAj 🔥 50+ citations so far! 💡 GraphMind: Interactive Novelty Assessment System for Accelerating AI Research led by Italo Da Silva 🔗 lnkd.in/gNGHvt-f 🎬 Demo system — lnkd.in/gXdec9Cu! Can’t wait to connect with fellow researchers, innovators, and AI enthusiasts at #EMNLP2025 🌏💬 Let’s push the boundaries of intelligent reasoning together! 💪🤝

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Yulan He
Yulan He@yulanhe·
Our KCL NLP group will present our latest research on LLM reasoning, personalisation, long-context QA, interpretability, and many more in #ACL2025.
KCL NLP@kclnlp

🚀 The KCL NLP Group is heading to #ACL2025 We’re excited to present our latest work on LLM reasoning, interpretability, personalization, and many other topics. 📍 Catch us in Vienna — stop by, say hi, and let’s talk!

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KCL NLP
KCL NLP@kclnlp·
🚀 The KCL NLP Group is heading to #ACL2025 We’re excited to present our latest work on LLM reasoning, interpretability, personalization, and many other topics. 📍 Catch us in Vienna — stop by, say hi, and let’s talk!
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KCL NLP
KCL NLP@kclnlp·
🚀 Calling NLP/ML researchers! Join PreTrain: Spotlight on ACL/ICML/ICLR 2025 — a one-day preview of top research before the main conferences. 🗓️ June 25, 10:00–17:00 📍 King’s College London (Strand Campus, S-3.18) 🌐 Event details: pretrain2025.github.io/index.html @kclinformatics
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Yulan He
Yulan He@yulanhe·
Please join @yan_hanqi’s presentation at #EMNLP2024 on learning causal event extraction using a trained evaluator as the reward model, led by both Italo and Hanqi.
Hanqi Yan@yan_hanqi

Excited to present our #EMNLP2024 paper on 'Event Extraction with Weak Supervision to Address Poor Correlation Between Automatic Metrics and Human Judgment at Low Cost' 📝💡 14:00-15:30 at Riverfront Hall! 👀✨ Huge kudos to Italo at @kclinformatics @kclnlp @yulanhe, the first author and one of my amazing mentees, for his incredible work! 👏🚀"

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yuxiang_zhou
yuxiang_zhou@yuxiang_zh0u·
@yan_hanqi @kclnlp @yulanhe is presenting her work on the neuro-level mechanistic interpretability of LLMs. Feel free to reach out and share your insights!
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Hanqi Yan
Hanqi Yan@yan_hanqi·
Excited to kick off #EMNLP24! 🥳 Join us for our oral presentation on The Mystery of In-Context Learning 🧩 today from 12:15-12:30 in Brickell. @yuxiang_zh0u will dive into a comprehensive survey blending theory and practice to unravel ICL. Details here: shorturl.at/dxx90
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