The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms. - Herbie Bradley; Honglu Fan; Theodoros Galanos; Ryan Zhou; Daniel Scott; Joel Lehman (GPTP, 2023)

An ML approach to resolution of singularities. - Gergely Bérczi; Honglu Fan; Mingcong Zeng (TAG-ML, 2023)

Stay on topic with Classifier-Free Guidance. - Guillaume Sanchez; Honglu Fan; Alexander Spangher; Elad Levi; Pawan Sasanka Ammanamanchi; Stella Biderman (CoRR, 2023)

YaRN: Efficient Context Window Extension of Large Language Models. - Bowen Peng; Jeffrey Quesnelle; Honglu Fan; Enrico Shippole (ICLR, 2024)

Stay on Topic with Classifier-Free Guidance. - Guillaume Sanchez; Alexander Spangher; Honglu Fan; Elad Levi; Stella Biderman (ICML, 2024)

Grokking Group Multiplication with Cosets. - Dashiell Stander; Qinan Yu; Honglu Fan; Stella Biderman (ICML, 2024)

When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research. - Guijin Son; Jiwoo Hong; Honglu Fan; Heejeong Nam; Hyunwoo Ko; Seungwon Lim; Jinyeop Song; Jinha Choi; Gonçalo Paulo; Youngjae Yu; Stella Biderman (CoRR, 2025)

The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text. - Nikhil Kandpal; Brian Lester; Colin Raffel; Sebastian Majstorovic; Stella Biderman; Baber Abbasi; Luca Soldaini; Enrico Shippole; A. Feder Cooper; Aviya Skowron; John Kirchenbauer; Shayne Longpre; et al. (CoRR, 2025)

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance. - Louis Bradshaw; Honglu Fan; Alexander Spangher; Stella Biderman; Simon Colton (CoRR, 2025)