Papers

Filtered to digital work · clear filter

Browse by term

continual learning 91reinforcement learning 43vision-language models 18benchmarking 12benchmarks 11robotics 11large language models 10language models 9world models 9video generation 6generative models 5multimodal models 5natural language processing 5recursive self-improvement 5video world models 5agents 4dialogue systems 4diffusion models 4foundation models 4multimodal large language models 4on-policy distillation 4reasoning 4self-distillation 4self-supervised learning 4conversational AI 3evaluation benchmarks 3human-computer interaction 3LLMs 3multi-agent systems 3policy optimization 3

Matching papers

Work Agents: Systems, Capabilities, and Optimization

96 upvotes · 26 OCT 2026 · Zishan Xu, Enjun Du, Mingqi Gao et al.

This paper develops a framework for understanding and optimizing work agents, which are systems that use foundation models and runtime harnesses to complete complex tasks. Practitioners might care about this research if they're building systems that need to reliably execute tasks across multiple tools and workflows.

work agentsdigital workfoundation modelsruntime harnessesworkspaces