50 citations · 98 across the 4 of their papers we have counts for
7 papers
Do We Still Need Clinical Language Models?
Eric Lehman, Evan Hernandez, Diwakar Mahajan +7
Although recent advances in scaling large language models (LLMs) have resulted in improvements on many NLP tasks, it remains unclear whether these models trained primarily with gen…
A Generative Approach for Mitigating Structural Biases in Natural Language Inference
Dimion Asael, Zachary Ziegler, Yonatan Belinkov
Many natural language inference (NLI) datasets contain biases that allow models to perform well by only using a biased subset of the input, without considering the remainder featur…
Mechanisms of Spatiotemporal Mode-Locking
Logan G. Wright, Pavel Sidorenko, Hamed Pourbeyram +6
Mode-locking is a process in which different modes of an optical resonator establish, through nonlinear interactions, stable synchronization. This self-organization underlies light…
Encoder-Agnostic Adaptation for Conditional Language Generation
Zachary M. Ziegler, Luke Melas-Kyriazi, Sebastian Gehrmann +1
Large pretrained language models have changed the way researchers approach discriminative natural language understanding tasks, leading to the dominance of approaches that adapt a…
Neural Linguistic Steganography
Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush
Whereas traditional cryptography encrypts a secret message into an unintelligible form, steganography conceals that communication is taking place by encoding a secret message into…
Latent Normalizing Flows for Discrete Sequences
Zachary M. Ziegler, Alexander M. Rush
Normalizing flows are a powerful class of generative models for continuous random variables, showing both strong model flexibility and the potential for non-autoregressive generati…