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papers

Publications (14)

Augmenting In-Context-Learning in LLMs via Automatic Data Labeling and Refinement

Joseph Shtok, Amit Alfassy, Foad Abo Dahood +3

NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning

Eli Schwartz, Leshem Choshen, Joseph Shtok +3

CHARTER: heatmap-based multi-type chart data extraction

Joseph Shtok, Sivan Harary, Ophir Azulai +3

Detector-Free Weakly Supervised Grounding by Separation

Assaf Arbelle, Sivan Doveh, Amit Alfassy +14

Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks

Joseph Shtok, Michael Zibulevsky, Michael Elad

Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence

Granite Vision Team, Leonid Karlinsky, Assaf Arbelle +60

Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning

Joseph Shtok, Michael Zibulevsky, Michael Elad

StarNet: towards Weakly Supervised Few-Shot Object Detection

Leonid Karlinsky, Joseph Shtok, Amit Alfassy +8

Delta-encoder: an effective sample synthesis method for few-shot object recognition

Eli Schwartz, Leonid Karlinsky, Joseph Shtok +6

Mellum: Production-Grade in-IDE Contextual Code Completion with Multi-File Project Understanding

Nikita Pavlichenko, Iurii Nazarov, Ivan Dolgov +10

Analysis of Basis Pursuit Via Capacity Sets

Joseph Shtok, Michael Elad

Mellum2 Technical Report

Marko Kojic, Ivan Bondyrev, Aral de Moor +6

RepMet: Representative-based metric learning for classification and one-shot object detection

Leonid Karlinsky, Joseph Shtok, Sivan Harary +5

LaSO: Label-Set Operations networks for multi-label few-shot learning

Amit Alfassy, Leonid Karlinsky, Amit Aides +5