49 citations · 130 across the 12 of their papers we have counts for
4 papers · 1 filter
Learning to Retrieve Passages without Supervision
Ori Ram, Gal Shachaf, Omer Levy +2
Dense retrievers for open-domain question answering (ODQA) have been shown to achieve impressive performance by training on large datasets of question-passage pairs. In this work w…
How Optimal is Greedy Decoding for Extractive Question Answering?
Or Castel, Ori Ram, Avia Efrat +1
Fine-tuned language models use greedy decoding to answer reading comprehension questions with relative success. However, this approach does not ensure that the answer is a span in…
Few-Shot Question Answering by Pretraining Span Selection
Ori Ram, Yuval Kirstain, Jonathan Berant +2
In several question answering benchmarks, pretrained models have reached human parity through fine-tuning on an order of 100,000 annotated questions and answers. We explore the mor…
Coreference Resolution without Span Representations
Yuval Kirstain, Ori Ram, Omer Levy
The introduction of pretrained language models has reduced many complex task-specific NLP models to simple lightweight layers. An exception to this trend is coreference resolution,…