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20242026
most citedFrom Grounding to Planning: Benchmarking Bottlenecks in Web Agents

3 citations · 5 across the 10 of their papers we have counts for

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cs.AI2026

Asking for What Was Never Requested: Horizontal and Vertical Proactivity in Agents

Ido Levy, Asaf Yehudai, Segev Shlomov +2

An agent that uses tools typically responds to what the user explicitly asks, yet completing the task may require information the user never requested. Work on proactive agents mai…

cs.AI2026

Governance by Construction for Generalist Agents

Segev Shlomov, Iftach Shoham, Alon Oved +7

Enterprise agents are increasingly expected to operate autonomously across tools and interfaces, yet production deployments require governance by construction. Systems must specify…

cs.AI2026

AgentFixer: From Failure Detection to Fix Recommendations in LLM Agentic Systems

Hadar Mulian, Sergey Zeltyn, Ido Levy +3

We introduce a comprehensive validation framework for LLM-based agentic systems that provides systematic diagnosis and improvement of reliability failures. The framework includes f…

cs.AI2025

From Benchmarks to Business Impact: Deploying IBM Generalist Agent in Enterprise Production

Segev Shlomov, Alon Oved, Sami Marreed +9

Agents are rapidly advancing in automating digital work, but enterprises face a harder challenge: moving beyond prototypes to deployed systems that deliver measurable business valu…

cs.AI2024★ 1 cited

ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents

Ido Levy, Ben Wiesel, Sami Marreed +4

Autonomous web agents solve complex browsing tasks, yet existing benchmarks measure only whether an agent finishes a task, ignoring whether it does so safely or in a way enterprise…

cs.AI2024★ 3 cited

From Grounding to Planning: Benchmarking Bottlenecks in Web Agents

Segev Shlomov, Ben wiesel, Aviad Sela +3

General web-based agents are increasingly essential for interacting with complex web environments, yet their performance in real-world web applications remains poor, yielding extre…