1 citations · 1 across the 3 of their papers we have counts for
6 papers
EvoWeb: A Benchmark for Coding Agents on Evolving Web Applications
David Nukrai, Bar Alon, Nativ Levy +6
Web application development often proceeds through successive requests that extend an existing implementation. Yet web-generation benchmarks primarily evaluate development toward f…
To Copy or Not to Copy: Controlling Speculative Decoding via Intrinsic Model Signals
Roy Eisenstadt, Ido Cohen, Edo Cohen-Karlik +2
Speculative Decoding (SD) has significantly accelerated Large Language Model (LLM) inference, yet existing approaches face a fundamental tradeoff between two drafting strategies: n…
Towards an AI-Augmented Textbook
LearnLM Team, Google, : +34
Textbooks are a cornerstone of education, but they have a fundamental limitation: they are a one-size-fits-all medium. Any new material or alternative representation requires arduo…
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
Daniela Gottesman, Alon Gilae-Dotan, Ido Cohen +4
Language models (LMs) increasingly drive real-world applications that require world knowledge. However, the internal processes through which models turn data into representations o…
Measuring the Data
Ido Cohen
Measuring the Data analytically finds the intrinsic manifold in big data. First, Optimal Transport generates the tangent space at each data point from which the intrinsic dimension…
Performance Gap in Entity Knowledge Extraction Across Modalities in Vision Language Models
Ido Cohen, Daniela Gottesman, Mor Geva +1
Vision-language models (VLMs) excel at extracting and reasoning about information from images. Yet, their capacity to leverage internal knowledge about specific entities remains un…