CambridgeLTL
@cambridgeltl
Language Technology Lab (LTL) at the University of Cambridge. Computational Linguistics / Machine Learning / Deep Learning. Focus: Multilingual NLP and Bio NLP.
ID: 964208941977792512
http://ltl.mml.cam.ac.uk/ 15-02-2018 18:45:00
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Happy to share a new PEFT method! Congratulations to all the authors, Alan Ansell Ivan Vulić Hannah Anna Korhonen Edoardo Ponti! 🎉
Happy to share our new preprint! 📜 Congratulations to all the co-authors, Evgeniia Razumovskaia Ivan Vulić and Anna Korhonen! 🥳
Here’s a kind reminder the talk by Kristina Gligorić from Stanford NLP Group will be happening tomorrow! See you at 4 PM GMT!
"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. Nigel Collier investigates this question. 🧵👇 arxiv.org/pdf/2402.10811 1/7
Introducing NLLB-LLM2Vec! 🚀 We fuse the NLLB encoder & Llama 3 8B trained w/ LLM2Vec to create NLLB-LLM2Vec which supports cross-lingual NLU in 200+ languages🔥 Joint work w/ Philipp Borchert, Ivan Vulić, and Goran Glavaš during my great research stay at @cambridgeltl
Attention Instruction: Amplifying Attention in the Middle via Prompting Key findings: 1. LLMs lack relative position awareness 2. We can guide LLM to a specific region with position-based indexing Paper: arxiv.org/pdf/2406.17095 Thanks to: Zaiqiao Meng and Nigel Collier