Imperial NLP
@imperial-nlp.bsky.social
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We are the Natural Language Processing community at
@imperialcollegeldn.bsky.social
Excited to share our ICLR and NAACL papers! Please come and say hi, we're super friendly :)
about 1 year ago
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Cool paper by Imperial’s Lihu Chen in identifying query-relevant neurons in LLMs for long form texts!
arxiv.org/abs/2406.10868
Recently accepted at AAAI 2025 😍
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Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts
Large Language Models (LLMs) possess vast amounts of knowledge within their parameters, prompting research into methods for locating and editing this knowledge. Previous work has largely focused on lo...
https://arxiv.org/abs/2406.10868
over 1 year ago
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This is a cool paper with Imperial!
arxiv.org/abs/2411.01996
The paper investigates the culinary creativity of LLMs, and whether they can transfer elements of one cuisine to another! 🌮🍕🍱🍲 Congratulations to the authors
over 1 year ago
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reposted by
Imperial NLP
Lisa Alazraki
over 1 year ago
Hi Bluesky, would like to introduce myself 🙂 I am PhD-ing at Imperial College under
@marekrei.bsky.social
’s supervision. I am broadly interested in LLM/LVLM reasoning & planning 🤖 (here’s our latest work
arxiv.org/abs/2411.04535
) Do reach out if you are interested in these (or related) topics!
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Meta-Reasoning Improves Tool Use in Large Language Models
External tools help large language models (LLMs) succeed at tasks where they would otherwise typically fail. In existing frameworks, LLMs learn tool use either by in-context demonstrations or via full...
https://arxiv.org/abs/2411.04535
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reposted by
Imperial NLP
Nikolai Rozanov
over 1 year ago
Quick intro to myself. I am a CS PhD in LLM Agents
@imperial-nlp.bsky.social
with
@marekrei.bsky.social
. This is our latest work on LLM Agents: StateAct:
arxiv.org/abs/2410.02810
(outperforming ReAct by ~10%). Feel free to reach out for collaboration.
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StateAct: State Tracking and Reasoning for Acting and Planning with Large Language Models
Planning and acting to solve `real' tasks using large language models (LLMs) in interactive environments has become a new frontier for AI methods. While recent advances allowed LLMs to interact with o...
https://arxiv.org/abs/2410.02810
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reposted by
Imperial NLP
Joe Stacey
over 1 year ago
Now I have like a gazillion new Bluesky followers, posting a link again to a blog post about my
#EMNLP2024
and EMNLP 2022 papers. It’s a fun 10 minute read about our ideas on interpretable neural architectures. ❤️ to my fantastic collaborators
www.marekrei.com/blog/creatin...
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Creating Interpretable Models with Atomic Inference - Marek Rei
This is a guest post from Joe Stacey about our quest to create interpretable Natural Language Inference (NLI) models. In this post he will share…
https://www.marekrei.com/blog/creating-interpretable-models-with-atomic-inference/
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reposted by
Imperial NLP
Joe Stacey
over 1 year ago
Welcome to Bluesky to more of our NLP researchers at Imperial!! Looking forward to following everyone's work on here. To follow us all click 'follow all' in the starter pack below
go.bsky.app/Bv5thAb
add a skeleton here at some point
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Thanks to everyone at
#EMNLP2024
from all of us at Imperial. It was a fantastic conference, and we loved meeting you and hearing about your work. See you at the next conference! 😍
over 1 year ago
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These tips are great! 😍
add a skeleton here at some point
over 1 year ago
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Great paper Lisa! This new work on tool selection initially uses a fine-tuned LLM to find good candidate tools, before an LLM without fine-tuning reasons over these candidates, with significant performance improvements.
add a skeleton here at some point
over 1 year ago
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reposted by
Imperial NLP
Joe Stacey
over 1 year ago
After going to NAACL, ACL and
#EMNLP2024
this year, here are a few tips I’ve picked up about attending
#NLP
conferences. Would love to hear any other tips if you have them! This proved very popular on another (more evil) social media platform, so sharing here also 🙂 My 10 tips:
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