Excited to share our ICLR and NAACL papers! Please come and say hi, we're super friendly :)

Slightly lazy but feel need to post this in case it is too late... We will present this in the ICLR Workshop on Sparsity in LLMs (SLLM)! We found that the representation dimension can dominate the model performance in the structured pruning 🤯 #ICLR2025 #LLM #sparsity

Do LLMs need rationales for learning from mistakes? 🤔 When LLMs learn from previous incorrect answers, they typically observe corrective feedback in the form of rationales explaining each mistake. In our new preprint, we find these rationales do not help, in fact they hurt performance! 🧵

Happy New Year Everyone! Here are the greetings from spring 🌸👇

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