activity
20232026
most citedWhen AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation

2 citations · 7 across the 14 of their papers we have counts for

collaborators
Showing cs.CLShow all

8 papers · 1 filter

cs.CL2026

Last Translation Benchmark

Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263

For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…

cs.CL2026

From Feelings to Metrics: Understanding and Formalizing How Users Vibe-Test LLMs

Itay Itzhak, Eliya Habba, Gabriel Stanovsky +1

Evaluating LLMs is challenging, as benchmark scores often fail to capture models' real-world usefulness. Instead, users often rely on ``vibe-testing'': informal experience-based ev…

cs.CL2026

ScheMatiQ: From Research Question to Structured Data through Interactive Schema Discovery

Shahar Levy, Eliya Habba, Reshef Mintz +3

Many disciplines pose natural-language research questions over large document collections whose answers typically require structured evidence, traditionally obtained by manually de…

cs.CL2025

JSON Whisperer: Efficient JSON Editing with LLMs

Sarel Duanis, Asnat Greenstein-Messica, Eliya Habba

Large language models (LLMs) can modify JSON documents through natural language commands, but current approaches regenerate entire structures for each edit, resulting in computatio…

cs.CL2025

PromptSuite: A Task-Agnostic Framework for Multi-Prompt Generation

Eliya Habba, Noam Dahan, Gili Lior +1

Evaluating LLMs with a single prompt has proven unreliable, with small changes leading to significant performance differences. However, generating the prompt variations needed for…

cs.CL2025★ 1 cited

ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments

Gili Lior, Eliya Habba, Shahar Levy +2

LLMs are highly sensitive to prompt phrasing, yet standard benchmarks typically report performance using a single prompt, raising concerns about the reliability of such evaluations…

cs.CL2025

DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation

Eliya Habba, Ofir Arviv, Itay Itzhak +5

Recent work found that LLMs are sensitive to a wide range of arbitrary prompt dimensions, including the type of delimiters, answer enumerators, instruction wording, and more. This…

cs.CL2023★ 1 cited

The Perfect Victim: Computational Analysis of Judicial Attitudes towards Victims of Sexual Violence

Eliya Habba, Renana Keydar, Dan Bareket +1

We develop computational models to analyze court statements in order to assess judicial attitudes toward victims of sexual violence in the Israeli court system. The study examines…