Ori Ram | DeepAI

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∙ 07/13/2023

Generating Benchmarks for Factuality Evaluation of Language Models

Before deploying a language model (LM) within a given domain, it is impo...

0 Dor Muhlgay, et al. ∙

∙ 01/31/2023

In-Context Retrieval-Augmented Language Models

Retrieval-Augmented Language Modeling (RALM) methods, that condition a l...

0 Ori Ram, et al. ∙

∙ 12/21/2022

Parallel Context Windows Improve In-Context Learning of Large Language Models

For applications that require processing large amounts of text at infere...

0 Nir Ratner, et al. ∙

∙ 12/20/2022

What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary

Dual encoders are now the dominant architecture for dense retrieval. Yet...

0 Ori Ram, et al. ∙

∙ 03/30/2022

Transformer Language Models without Positional Encodings Still Learn Positional Information

Transformers typically require some form of positional encoding, such as...

0 Adi Haviv, et al. ∙

∙ 12/14/2021

Learning to Retrieve Passages without Supervision

Dense retrievers for open-domain question answering (ODQA) have been sho...

1 Ori Ram, et al. ∙

∙ 08/12/2021

How Optimal is Greedy Decoding for Extractive Question Answering?

Fine-tuned language models use greedy decoding to answer reading compreh...

0 Or Castel, et al. ∙

∙ 01/02/2021

Few-Shot Question Answering by Pretraining Span Selection

In a number of question answering (QA) benchmarks, pretrained models hav...

0 Ori Ram, et al. ∙

∙ 01/02/2021

Coreference Resolution without Span Representations

Since the introduction of deep pretrained language models, most task-spe...

0 Yuval Kirstain, et al. ∙

∙ 02/25/2019

Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing

We introduce a novel method for multilingual transfer that utilizes deep...

0 Tal Schuster, et al. ∙

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