Dan Ben Ami

2 accepted papers

2026

HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering

Dan Ben Ami, Gabriele Serussi, Kobi Cohen, Chaim Baskin

CVPR 2026

Video Large Language Models (Video-LLMs) are improving rapidly, yet current Video Question Answering (VideoQA) benchmarks often admit single-cue shortcuts, under-testing reasoning that must integrate evidence across time. We introduce HERBench, a benchmark designed to make multi-evidence integration

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2023

Client Selection for Generalization in Accelerated Federated Learning: A Bandit Approach

Dan Ben Ami, Kobi Cohen, Qing Zhao

ICASSP 2023accepted

Federated learning (FL) is an emerging machine learning (ML) paradigm used to train models across multiple nodes (i.e., clients) holding local data sets, without explicitly exchanging the data. It has attracted a growing interest in recent years due to its advantages in terms of privacy consideratio…

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