32 citations · 63 across the 20 of their papers we have counts for
11 papers · 1 filter
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…
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…
Semantic Feature Analysis: Improving Agents Without Searching Over Rollouts
Roi Ben-Gigi, Yuval David, Fabiana Fournier +4
Ambiguity is an inherent property of natural-language agent specifications. When a system prompt leaves behaviour underdetermined, identical inputs follow divergent execution paths…
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…
General Agent Evaluation
Elron Bandel, Asaf Yehudai, Lilach Eden +12
General-purpose agents perform tasks in unfamiliar environments without domain-specific manual customization. Yet no study has systematically measured how agent architecture shapes…
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…
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…
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…
SNAP: Semantic Stories for Next Activity Prediction
Alon Oved, Segev Shlomov, Sergey Zeltyn +2
Predicting the next activity in an ongoing process is one of the most common classification tasks in the business process management (BPM) domain. It allows businesses to optimize…
Enhancing Trust in LLM-Based AI Automation Agents: New Considerations and Future Challenges
Sivan Schwartz, Avi Yaeli, Segev Shlomov
Trust in AI agents has been extensively studied in the literature, resulting in significant advancements in our understanding of this field. However, the rapid advancements in Larg…
Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration
Sergey Zeltyn, Segev Shlomov, Avi Yaeli +1
Business processes that involve AI-powered automation have been gaining importance and market share in recent years. These business processes combine the characteristics of classic…