research
∙
09/14/2023
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
Training large language models to follow instructions makes them perform...
share
research
∙
04/27/2023
string2string: A Modern Python Library for String-to-String Algorithms
We introduce string2string, an open-source library that offers a compreh...
research
∙
11/16/2022
Holistic Evaluation of Language Models
Language models (LMs) are becoming the foundation for almost all major l...
research
∙
11/14/2022
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding
In open-ended natural-language generation, existing text decoding method...
research
∙
10/06/2022
Language Models are Multilingual Chain-of-Thought Reasoners
We evaluate the reasoning abilities of large language models in multilin...
research
∙
07/08/2022
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
Innovation is a major driver of economic and social development, and inf...
research
∙
05/23/2022
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models
We propose a method for arbitrary textual style transfer (TST)–the task ...
research
∙
04/17/2022
Monte Carlo Tree Search for Interpreting Stress in Natural Language
Natural language processing can facilitate the analysis of a person's me...
research
∙
11/08/2019
Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages
We introduce three memory-augmented Recurrent Neural Networks (MARNNs) a...
research
∙
06/09/2019
LSTM Networks Can Perform Dynamic Counting
In this paper, we systematically assess the ability of standard recurren...
research
∙
11/02/2018
