99 citations · 330 across the 75 of their papers we have counts for
9 papers · 1 filter
Parallel Context Windows for Large Language Models
Nir Ratner, Yoav Levine, Yonatan Belinkov +7
When applied to processing long text, Large Language Models (LLMs) are limited by their context window. Existing efforts to address this limitation involve training specialized arc…
Cognitive Simplification Operations Improve Text Simplification
Eytan Chamovitz, Omri Abend
Text Simplification (TS) is the task of converting a text into a form that is easier to read while maintaining the meaning of the original text. A sub-task of TS is Cognitive Simpl…
DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering
Ella Neeman, Roee Aharoni, Or Honovich +3
Question answering models commonly have access to two sources of "knowledge" during inference time: (1) parametric knowledge - the factual knowledge encoded in the model weights, a…
Reinforcement Learning with Large Action Spaces for Neural Machine Translation
Asaf Yehudai, Leshem Choshen, Lior Fox +1
Applying Reinforcement learning (RL) following maximum likelihood estimation (MLE) pre-training is a versatile method for enhancing neural machine translation (NMT) performance. Ho…
Topical Segmentation of Spoken Narratives: A Test Case on Holocaust Survivor Testimonies
Eitan Wagner, Renana Keydar, Amit Pinchevski +1
The task of topical segmentation is well studied, but previous work has mostly addressed it in the context of structured, well-defined segments, such as segmentation into paragraph…
A Computational Acquisition Model for Multimodal Word Categorization
Uri Berger, Gabriel Stanovsky, Omri Abend +1
Recent advances in self-supervised modeling of text and images open new opportunities for computational models of child language acquisition, which is believed to rely heavily on c…