53 citations · 187 across the 29 of their papers we have counts for
5 papers · 1 filter
Controllable Text Generation with Language Constraints
Howard Chen, Huihan Li, Danqi Chen +1
We consider the task of text generation in language models with constraints specified in natural language. To this end, we first create a challenging benchmark Cognac that provides…
SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers
Ameet Deshpande, Md Arafat Sultan, Anthony Ferritto +3
Fine-tuning pre-trained language models (PLMs) achieves impressive performance on a range of downstream tasks, and their sizes have consequently been getting bigger. Since a differ…
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training
Henry Tang, Ameet Deshpande, Karthik Narasimhan
Multilingual pre-trained models exhibit zero-shot cross-lingual transfer, where a model fine-tuned on a source language achieves surprisingly good performance on a target language.…
Linking Emergent and Natural Languages via Corpus Transfer
Shunyu Yao, Mo Yu, Yang Zhang +3
The study of language emergence aims to understand how human languages are shaped by perceptual grounding and communicative intent. Computational approaches to emergent communicati…
SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization
Austin W. Hanjie, Ameet Deshpande, Karthik Narasimhan
Zero-shot learning is the problem of predicting instances over classes not seen during training. One approach to zero-shot learning is providing auxiliary class information to the…