4 citations · 10 across the 11 of their papers we have counts for
10 papers · 1 filter
Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image Models
Mor Ventura, Eyal Ben-David, Anna Korhonen +1
Text-To-Image (TTI) models, such as DALL-E and StableDiffusion, have demonstrated remarkable prompt-based image generation capabilities. Multilingual encoders may have a substantia…
Measuring the Robustness of NLP Models to Domain Shifts
Nitay Calderon, Naveh Porat, Eyal Ben-David +5
Existing research on Domain Robustness (DR) suffers from disparate setups, limited task variety, and scarce research on recent capabilities such as in-context learning. Furthermore…
Domain Adaptation from Scratch
Eyal Ben-David, Yftah Ziser, Roi Reichart
Natural language processing (NLP) algorithms are rapidly improving but often struggle when applied to out-of-distribution examples. A prominent approach to mitigate the domain gap…
IDANI: Inference-time Domain Adaptation via Neuron-level Interventions
Omer Antverg, Eyal Ben-David, Yonatan Belinkov
Large pre-trained models are usually fine-tuned on downstream task data, and tested on unseen data. When the train and test data come from different domains, the model is likely to…
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation
Nitay Calderon, Eyal Ben-David, Amir Feder +1
Natural language processing (NLP) algorithms have become very successful, but they still struggle when applied to out-of-distribution examples. In this paper we propose a controlla…
Example-based Hypernetworks for Out-of-Distribution Generalization
Tomer Volk, Eyal Ben-David, Ohad Amosy +2
As Natural Language Processing (NLP) algorithms continually achieve new milestones, out-of-distribution generalization remains a significant challenge. This paper addresses the iss…
Improved Goal Oriented Dialogue via Utterance Generation and Look Ahead
Eyal Ben-David, Boaz Carmeli, Ateret Anaby-Tavor
Goal oriented dialogue systems have become a prominent customer-care interaction channel for most businesses. However, not all interactions are smooth, and customer intent misunder…
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains
Eyal Ben-David, Nadav Oved, Roi Reichart
Natural Language Processing algorithms have made incredible progress, but they still struggle when applied to out-of-distribution examples. We address a challenging and underexplor…
Semantically Driven Sentence Fusion: Modeling and Evaluation
Eyal Ben-David, Orgad Keller, Eric Malmi +2
Sentence fusion is the task of joining related sentences into coherent text. Current training and evaluation schemes for this task are based on single reference ground-truths and d…
PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models
Eyal Ben-David, Carmel Rabinovitz, Roi Reichart
Pivot-based neural representation models have lead to significant progress in domain adaptation for NLP. However, previous works that follow this approach utilize only labeled data…