2 citations · 3 across the 7 of their papers we have counts for
7 papers · 1 filter
Prompts in the Wild: A Large Analyzed Collection of Transactional Prompts in Code
Victoria Basmov, Yoav Goldberg, Reut Tsarfaty
The behavior of contemporary generative Large Language Models (LLMs) is directly shaped by prompts, unstructured texts that describe the desired output and model behavior. In this…
MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents
Tomer Wolfson, Harsh Trivedi, Mor Geva +5
Automated agents, powered by Large language models (LLMs), are emerging as the go-to tool for querying information. However, evaluation benchmarks for LLM agents rarely feature nat…
HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark
Amir DN Cohen, Hilla Merhav, Yoav Goldberg +1
Current benchmarks for Hebrew Natural Language Processing (NLP) focus mainly on morpho-syntactic tasks, neglecting the semantic dimension of language understanding. To bridge this…
NoviCode: Generating Programs from Natural Language Utterances by Novices
Asaf Achi Mordechai, Yoav Goldberg, Reut Tsarfaty
Current Text-to-Code models demonstrate impressive capabilities in generating executable code from natural language snippets. However, current studies focus on technical instructio…
LLMs' Reading Comprehension Is Affected by Parametric Knowledge and Struggles with Hypothetical Statements
Victoria Basmov, Yoav Goldberg, Reut Tsarfaty
The task of reading comprehension (RC), often implemented as context-based question answering (QA), provides a primary means to assess language models' natural language understandi…
Linguistically Motivated Sign Language Segmentation
Amit Moryossef, Zifan Jiang, Mathias Müller +2
Sign language segmentation is a crucial task in sign language processing systems. It enables downstream tasks such as sign recognition, transcription, and machine translation. In t…