activity
20192026
most citedNot Enough Data? Deep Learning to the Rescue!

32 citations · 63 across the 20 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2026

TabAgent: Distilling LLM Agent Components into Cheap Classifiers

Ido Levy, Eilam Shapira, Yinon Goldshtein +5

Agentic systems, AI architectures that autonomously execute multi-step workflows to achieve complex goals, are often built using repeated large language model (LLM) calls for close…

cs.CL2026

Textual Planning with Explicit Latent Transitions

Eliezer Shlomi, Ido Levy, Eilam Shapira +6

Planning requires a transition model that predicts how each action changes the current state. When a large language model (LLM) plays this role, every next state is generated token…

cs.CL2022

Understanding the Properties of Generated Corpora

Naama Zwerdling, Segev Shlomov, Esther Goldbraich +6

Models for text generation have become focal for many research tasks and especially for the generation of sentence corpora. However, understanding the properties of an automaticall…

cs.CL2021

We've had this conversation before: A Novel Approach to Measuring Dialog Similarity

Ofer Lavi, Ella Rabinovich, Segev Shlomov +3

Dialog is a core building block of human natural language interactions. It contains multi-party utterances used to convey information from one party to another in a dynamic and evo…

cs.CL2019★ 32 cited

Not Enough Data? Deep Learning to the Rescue!

Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich +5

Based on recent advances in natural language modeling and those in text generation capabilities, we propose a novel data augmentation method for text classification tasks. We use a…