activity
20232026
most citedLLMs' Reading Comprehension Is Affected by Parametric Knowledge and Struggles with Hypothetical Statements

2 citations · 3 across the 7 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

cs.CL2025

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…

cs.CL2025

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…