11 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CL2024
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping
Ajay Jaiswal, Bodun Hu, Lu Yin +4
Autoregressive Large Language Models (e.g., LLaMa, GPTs) are omnipresent achieving remarkable success in language understanding and generation. However, such impressive capability…
cs.CL2024
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding
Zhenyu Zhang, Runjin Chen, Shiwei Liu +5
This paper aims to overcome the "lost-in-the-middle" challenge of large language models (LLMs). While recent advancements have successfully enabled LLMs to perform stable language…
q-bio.BM2023★ 11 cited
Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model
Shiwei Liu, Tian Zhu, Milong Ren +3
Many crucial biological processes rely on networks of protein-protein interactions. Predicting the effect of amino acid mutations on protein-protein binding is vital in protein eng…