Nigel Collier

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

[Nigel Collier @nigelhcollier]

@balaji25749244 Thanks @balaji25749244, it will be great to get your feedback!

[Nigel Collier @nigelhcollier]

Have you ever had a model you expected to be a winner turn out not to be the best once you tested it on your own data?

That’s one of the reasons we built QuickCompare.

Today our Cambridge spinout, Trismik, is launching QuickCompare to help AI teams compare LLMs on their own tasks and data before committing time and budget to deployment, fine-tuning, or migration.

Built for teams asking:
* Which model is best for our workflow?
* Which model is most reliable?
* Which model is worth deeper investment?
We’re live on Product Hunt today:
https://t.co/GxgKpUxR7V
We’d love your support and feedback.
#LLM #AI #ProductHunt #Startups

[Nigel Collier @nigelhcollier]

@milangritta Thank you so much, really appreciate it!

[Nigel Collier @nigelhcollier]

If humans can learn geography from books, why do we say LLMs don’t understand the world? This essay explores why LLMs master linguistic boundaries but falter on the physical ones we learn through action. #LLM #GenerativeAI #WorldModels https://t.co/JTodxrOKlh

[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 https://t.co/hTlzl136ME

[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.
👇
https://t.co/X5xMF8TCHR

[Nigel Collier @nigelhcollier]

After 10 years on my old site, I’ve officially moved to a new domain: https://t.co/UIipSzMCJf.
Hope to see you there.

[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: https://t.co/2TxvkCA7hF

[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?

[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: [email protected] (subject "Trism 2025").

[Tiancheng Hu @ ICLR 2026 @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: https://t.co/Q8O3FuOqC0

[Tiancheng Hu @ ICLR 2026 @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. 🧵👇 https://t.co/M9FP5rOnEZ 1/7

[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. https://t.co/6xQ8iyJxX6

[Nigel Collier @nigelhcollier]

Here's the link to our paper 'On Reality and the Limits of Language Data' https://t.co/Ugwgi9rP3n with @EhsanShareghi and @hardy_qr #machinelearning #AI #CambridgeUniversity #MonashUniversity #deeplearning #NLProc

[Nigel Collier @nigelhcollier]

Delighted to announce our paper 'On Reality and the Limits of Language Data' in collaboration with @EhsanShareghi and @hardy_qr at . We've spent the last 9 months reading and thinking about the limitations of pre-trained language m…https://t.co/CeazAiLvCK https://t.co/OxYhLZ1nC7

[Nigel Collier @nigelhcollier]

FW: Earth Species Project is hiring Senior AI Research Scientist https://t.co/4MKVp3leFI

[Zaiqiao Meng @mengzaiqiao]

Pleased to announce that our paper 'Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models' is accepted at #ACL2022! Joint work with @CambridgeLTL forks @hardy_qr @EhsanShareghi @yixuan_su Charlotte Collins and @nigelhcollier.

[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.

[MMLL Cambridge @MMLL_Cambridge]

Proud to share that Fangyu Liu & @nigelhcollier have been awarded the Best Long Paper Award at the 2021 @emnlp Conference, with collaborators from McGill Uni & Uni of Copenhagen.

More details at: https://t.co/BthEnLoitN

@CambridgeLTL @PontiEdoardo @hardyqr

[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)