research
∙
05/24/2023
Selectively Answering Ambiguous Questions
Trustworthy language models should abstain from answering questions when...
share
research
∙
03/01/2023
DIFFQG: Generating Questions to Summarize Factual Changes
Identifying the difference between two versions of the same article is u...
research
∙
10/17/2022
Table-To-Text generation and pre-training with TabT5
Encoder-only transformer models have been successfully applied to differ...
research
∙
10/14/2022
MiQA: A Benchmark for Inference on Metaphorical Questions
We propose a benchmark to assess the capability of large language models...
research
∙
09/09/2021
MATE: Multi-view Attention for Table Transformer Efficiency
This work presents a sparse-attention Transformer architecture for model...
research
∙
06/29/2021
Time-Aware Language Models as Temporal Knowledge Bases
Many facts come with an expiration date, from the name of the President ...
research
∙
06/01/2021
DoT: An efficient Double Transformer for NLP tasks with tables
Transformer-based approaches have been successfully used to obtain state...
research
∙
04/10/2021
Fool Me Twice: Entailment from Wikipedia Gamification
We release FoolMeTwice (FM2 for short), a large dataset of challenging e...
research
∙
04/02/2021
TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training
We present the TAPAS contribution to the Shared Task on Statement Verifi...
research
∙
03/22/2021
Open Domain Question Answering over Tables via Dense Retrieval
Recent advances in open-domain QA have led to strong models based on den...
research
∙
10/01/2020
Understanding tables with intermediate pre-training
Table entailment, the binary classification task of finding if a sentenc...
research
∙
06/29/2020
SoftSort: A Continuous Relaxation for the argsort Operator
While sorting is an important procedure in computer science, the argsort...
research
∙
04/05/2020
