Eric Alcaide

I'm a researcher working on LLMs, coding agents, and AI4Science.

My current research interests focus on:

  • Efficient processing of information with Recurrent Neural Networks
  • Adaptive computation & reasoning
  • Agents and LLMs for code
  • AI for Science and BioTech (3D, design, automation)

Previously, I was one of the pioneers of CoFolding early in 2021 as the first member of CHARM Tx, and worked on ML for structural biology at Vir Biotechnology. I am also an open source researcher at EleutherAI, where I led efforts on Linear Attention (author of RWKV) and AI for Science - OpenBioML community.

I hold a Physics degree and a Medicine degree (MD) from the University of Barcelona. My medical thesis, "Towards immune profiling of brain metastasis from lung cancer as a driver for precision medicine", was supervised by Ernest Nadal Alforja, MD, PhD at the ICO.

Eric Alcaide

ericalcaide1 [at] gmail [dot] com

News

Selected Publications

ICLR 2026

Multiple Token Divergence: Measuring and Steering In-Context Computation Density

Vincent Herrmann*, Eric Alcaide*, Michael Wand, Jürgen Schmidhuber

CoLM 2025

RWKV-7 "Goose" with Expressive Dynamic State Evolution

Bo Peng, Daniel Goldstein, Eric Alcaide, et al.

CoLM 2025

RADLADS: Rapid Attention Distillation to Linear Attention Decoders at Scale

Daniel Goldstein, Eric Alcaide, Janna Lu, Eugene Cheah

EMNLP 2023

RWKV: Reinventing RNNs for the Transformer Era

Bo Peng*, Eric Alcaide*, Quentin Anthony, et al.

See all publications →