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cs.AI2026

StarHarness: Evolving Harnesses with Stratified Search for Enterprise Environments

Esakkivel Esakkiraja, Denis Akhiyarov, Vikas Yadav +4

We present StarHarness, a framework for evolving environment-specific agent harnesses while keeping model weights fixed. The evolved harness can include prompt and task framing, to…

cs.AI2026

ESF-Bench: Benchmarking Challenging Slot-Filling Scenarios for Real-World Enterprise Applications

Toby Liang, Gopal Sarda, Sagar Davasam +1

The rapid rise of large language models (LLMs) has driven transformative adoption across enterprises. However, deploying these models in real-world settings presents unique challen…

cs.AI2026

Do Enterprise Systems Need Learned World Models? The Importance of Context to Infer Dynamics

Jishnu Sethumadhavan Nair, Patrice Bechard, Rishabh Maheshwary +14

World models enable agents to anticipate the effects of their actions by internalizing environment dynamics. In enterprise systems, however, these dynamics are often defined by ten…

cs.AI2026

EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings

Shiva Krishna Reddy Malay, Shravan Nayak, Jishnu Sethumadhavan Nair +6

Large language models are shifting from passive information providers to active agents intended for complex workflows. However, their deployment as reliable AI workers in enterpris…

cs.AI2025

Apriel-1.5-15b-Thinker

Shruthan Radhakrishna, Aman Tiwari, Aanjaneya Shukla +21

We present Apriel-1.5-15B-Thinker, a 15-billion parameter open-weights multimodal reasoning model that achieves frontier-level performance through training design rather than sheer…