research
∙
07/17/2023
COLLIE: Systematic Construction of Constrained Text Generation Tasks
Text generation under constraints have seen increasing interests in natu...
share
research
∙
05/24/2023
CSTS: Conditional Semantic Textual Similarity
Semantic textual similarity (STS) has been a cornerstone task in NLP tha...
research
∙
05/16/2023
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning
Large language models (LLMs) exploit in-context learning (ICL) to solve ...
research
∙
12/20/2022
Controllable Text Generation with Language Constraints
We consider the task of text generation in language models with constrai...
research
∙
07/04/2022
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
Existing benchmarks for grounding language in interactive environments e...
research
∙
04/25/2022
Can Rationalization Improve Robustness?
A growing line of work has investigated the development of neural NLP mo...
research
∙
04/26/2021
Non-Parametric Few-Shot Learning for Word Sense Disambiguation
Word sense disambiguation (WSD) is a long-standing problem in natural la...
research
∙
04/01/2021
Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems
Existing goal-oriented dialogue datasets focus mainly on identifying slo...
research
∙
09/15/2020
Autoregressive Knowledge Distillation through Imitation Learning
The performance of autoregressive models on natural language generation ...
research
∙
11/09/2019
Interactive Classification by Asking Informative Questions
Natural language systems often rely on a single, potentially ambiguous i...
research
∙
11/29/2018