Nigel Collier

123 posts

Nigel Collier

Nigel Collier

@nigelhcollier

Professor of Natural Language Processing at Cambridge University | Chief Scientist at Trismik

Cambridge, UK Katılım Şubat 2012
111 Takip Edilen618 Takipçiler
Nigel Collier
Nigel Collier@nigelhcollier·
Are Doubt and Uncertainty the Same Thing? LLMs show uncertainty but cannot yet experience doubt, a richer metacognitive process. Because models lack self-awareness of their own ignorance, they can appear cautious while still hallucinating. See nhcollier.ai
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Nigel Collier
Nigel Collier@nigelhcollier·
I’ve published a new piece called Beyond Alignment, a look at what AI could become if we designed it to understand, not just to comply. 👇 nhcollier.ai/reflections/be…
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Nigel Collier
Nigel Collier@nigelhcollier·
After 10 years on my old site, I’ve officially moved to a new domain: nhcollier.ai. Hope to see you there.
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River Yijiang Dong
River Yijiang Dong@river_dong121·
🚀 Thrilled to share our paper: "A Multi-Faceted Analysis of Personalized Preference Learning." We introduce a multi-faceted framework to evaluate personalized preference learning algorithms in real-world conditions. 📄 Paper: arxiv.org/pdf/2502.19158
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River Yijiang Dong
River Yijiang Dong@river_dong121·
🚨New Paper Alert🚨 Many personalization methods optimize performance but ignore real-world impact. We examine its effects on: ✅ Performance ⚖️ Fairness: Can it represent minorities fairly? ⚠️ Unintended Effects: Does it harm safety? 🔄 Adaptability: Quickly adapt to new users?
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Nigel Collier
Nigel Collier@nigelhcollier·
🚀 We're hiring an Applied Scientist! Join a Cambridge AI spinout launching Apr/May '25. PhD in NLP/ML + 2-3 yrs industry exp needed. Work on product data, algorithms, & research papers. UK/Europe-based. Shape AGI’s future! Email CV: nhc30@cam.ac.uk (subject "Trism 2025").
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Tiancheng Hu
Tiancheng Hu@tiancheng_hu·
Thrilled to share our new paper: "Can LLM be a Personalized Judge?" We investigate the reliability of LLMs in judging user preferences based on personas and propose improvements using verbal uncertainty estimation to enhance accuracy. 🎭👨‍⚖️ 📄 Paper: arxiv.org/abs/2406.11657
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Tiancheng Hu
Tiancheng Hu@tiancheng_hu·
"Role-playing" with LLMs is increasingly popular in chatbots and also "simulation" for social sciences. Can LLMs simulate individual perspectives in subjective NLP tasks? Our #ACL2024 paper w. @nigelhcollier investigates this question. 🧵👇 arxiv.org/pdf/2402.10811 1/7
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Zihao Fu
Zihao Fu@fuzihaofzh·
Our paper "On the Effectiveness of Parameter-Efficient Fine-Tuning" is accepted at #AAAI2023! We theoretically explain why Parameter-Efficient models(Adapter,LoRA,BitFit...)have good performance and design an approx best way to find which parameter to tune. arxiv.org/abs/2211.15583
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Fangyu Liu
Fangyu Liu@hardy_qr·
Sharing our recent tacl paper... 😎 okay, our recent arxiv preprint called token-aware contrastive learning (TaCL), by Yixuan Su, me, @mengzaiqiao, Lei Shu, @EhsanShareghi and @nigelhcollier.
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Edoardo Ponti
Edoardo Ponti@PontiEdoardo·
I am delighted to share that I will be joining @EdinburghNLP at @EdinburghUni from 2022 as a lecturer in Natural Language Processing. I am currently recruiting PhD students, so if you are passionate... (1/6)
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