research
∙
07/10/2023
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning
Modern abstractive summarization models often generate summaries that co...
share
research
∙
05/09/2023
StarCoder: may the source be with you!
The BigCode community, an open-scientific collaboration working on the r...
research
∙
12/20/2022
Execution-Based Evaluation for Open-Domain Code Generation
To extend the scope of coding queries to more realistic settings, we pro...
research
∙
12/05/2022
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer
Systems for knowledge-intensive tasks such as open-domain question answe...
research
∙
05/19/2022
Table Retrieval May Not Necessitate Table-specific Model Design
Tables are an important form of structured data for both human and machi...
research
∙
03/16/2022
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages
While there has been a recent burgeoning of applications at the intersec...
research
∙
08/15/2021
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Tables are often created with hierarchies, but existing works on table r...
research
∙
11/29/2020
Intrinsic Knowledge Evaluation on Chinese Language Models
Recent NLP tasks have benefited a lot from pre-trained language models (...
research
∙
10/21/2020
Structure-aware Pre-training for Table Understanding with Tree-based Transformers
Tables are widely used with various structures to organize and present d...
research
∙
04/05/2020
FastBERT: a Self-distilling BERT with Adaptive Inference Time
Pre-trained language models like BERT have proven to be highly performan...
research
∙
09/17/2019