activity
20152026
most citedBeyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

565 citations · 2.4k across the 50 of their papers we have counts for

collaborators
Showing 2023Show all

11 papers · 1 filter

cs.CL2023★ 15 cited

Llemma: An Open Language Model For Mathematics

Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster +6

We present Llemma, a large language model for mathematics. We continue pretraining Code Llama on the Proof-Pile-2, a mixture of scientific papers, web data containing mathematics,…

cs.CL2023★ 5 cited

Stay on topic with Classifier-Free Guidance

Guillaume Sanchez, Honglu Fan, Alexander Spangher +3

Classifier-Free Guidance (CFG) has recently emerged in text-to-image generation as a lightweight technique to encourage prompt-adherence in generations. In this work, we demonstrat…

cs.LG2023★ 5 cited

Can Transformers Learn to Solve Problems Recursively?

Shizhuo Dylan Zhang, Curt Tigges, Stella Biderman +2

Neural networks have in recent years shown promise for helping software engineers write programs and even formally verify them. While semantic information plays a crucial part in t…

cs.CL2023

GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration

Aleksandra Piktus, Odunayo Ogundepo, Christopher Akiki +6

Noticing the urgent need to provide tools for fast and user-friendly qualitative analysis of large-scale textual corpora of the modern NLP, we propose to turn to the mature and wel…

cs.LG2023★ 12 cited

LEACE: Perfect linear concept erasure in closed form

Nora Belrose, David Schneider-Joseph, Shauli Ravfogel +3

Concept erasure aims to remove specified features from an embedding. It can improve fairness (e.g. preventing a classifier from using gender or race) and interpretability (e.g. rem…

cs.LG2023★ 1 cited

Recasting Self-Attention with Holographic Reduced Representations

Mohammad Mahmudul Alam, Edward Raff, Stella Biderman +2

In recent years, self-attention has become the dominant paradigm for sequence modeling in a variety of domains. However, in domains with very long sequence lengths the $\mathcal{O}…