most citedPredicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model

11 citations · 11 across the 4 of their papers we have counts for

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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…