activity
20142024
most citedIR Dualities in General 3d Supersymmetric SU(N) QCD Theories

39 citations · 87 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2024★ 1 cited

RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation

Daniel Fleischer, Moshe Berchansky, Moshe Wasserblat +1

Implementing Retrieval-Augmented Generation (RAG) systems is inherently complex, requiring deep understanding of data, use cases, and intricate design decisions. Additionally, eval…

cs.CL2024

CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity

Moshe Berchansky, Daniel Fleischer, Moshe Wasserblat +1

State-of-the-art performance in QA tasks is currently achieved by systems employing Large Language Models (LLMs), however these models tend to hallucinate information in their resp…

cs.CL2019★ 3 cited

Latent Universal Task-Specific BERT

Alon Rozental, Zohar Kelrich, Daniel Fleischer

This paper describes a language representation model which combines the Bidirectional Encoder Representations from Transformers (BERT) learning mechanism described in Devlin et al.…

cs.CL2018★ 10 cited

Amobee at IEST 2018: Transfer Learning from Language Models

Alon Rozental, Daniel Fleischer, Zohar Kelrich

This paper describes the system developed at Amobee for the WASSA 2018 implicit emotions shared task (IEST). The goal of this task was to predict the emotion expressed by missing w…

cs.CL2018★ 30 cited

Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification

Alon Rozental, Daniel Fleischer

This paper describes the participation of Amobee in the shared sentiment analysis task at SemEval 2018. We participated in all the English sub-tasks and the Spanish valence tasks.…

cs.CL2017★ 4 cited

Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter

Alon Rozental, Daniel Fleischer

This paper describes the Amobee sentiment analysis system, adapted to compete in SemEval 2017 task 4. The system consists of two parts: a supervised training of RNN models based on…

hep-th2014★ 39 cited

IR Dualities in General 3d Supersymmetric SU(N) QCD Theories

Ofer Aharony, Daniel Fleischer

In the last twenty years, low-energy (IR) dualities have been found for many pairs of supersymmetric gauge theories with four supercharges, both in four space-time dimensions and i…