Papers

Filtered to complex document operations · clear filter

Browse by term

continual learning 33reinforcement learning 21large language models 9vision-language models 8language models 6benchmarking 5autoregressive models 4diffusion transformers 4generative models 4multimodal learning 4robotics 4video generation 4benchmarks 3computer vision 3policy optimization 3self-distillation 3vision-language-action models 3world modeling 3agent-based systems 2autonomous agents 2calibration 2coding agents 2diffusion models 2foundation models 2image synthesis 2in-context learning 2knowledge graphs 2LLMs 2multimodal evaluation 2multimodal large language models 2

Matching papers

DocOps: A Verifiable Benchmark for Autonomous Agents in Complex Document Operations

7 upvotes · 22 JUL 2026 · Jiazhen Jiang, Boxi Cao, Lingyong Yan et al.

This paper introduces a benchmark framework called DocOps to evaluate autonomous agents' ability to manipulate digital documents. Practitioners may care about this work because it identifies limitations in current agents and provides insights for designing more robust agents.

autonomous agentscomplex document operationsdocument manipulationverifiable benchmarkshierarchical taxonomy