The papers

Most central to this idea first, not most recent.

• Top University

  Separating planning stages improves LLM reliability on complex compound tasks

  University of Maryland, College Park, NEC Laboratories America, Inc. · Sept 2026

• Big Techcs.CR

  Training recipe boosts security in AI-generated code by improving planning and testing

  Carnegie Mellon University, Microsoft Research · Oct 2026

• Big Techcs.CL

  Distributed grounding preserves reasoning across million-token language model contexts

  National University of Singapore, Adobe Research · Sept 2026

• Independentcs.AI

  Persistent evidence tracking improves language-agent performance on bioinformatics benchmarks

  Sept 2026

• Big Techcs.AIcode

  Civilization benchmark exposes agents’ weak monitoring and long-term follow-through

  University of Oxford, Tony Blair Institute for Global Change · Sept 2026

• Independentcs.CV

  An agentic framework that fills in missing context for real-world image generation

  June 2026

• Top Universitycs.RO

  Robots Can Revise Visual Plans Instead of Starting Over

  Beihang University, Peking University · Sept 2026

• AI Startupcs.CV

  Multi-agent orchestration generates 3D scenes from single images

  Nanyang Technological University, University of Oxford · June 2026

• Independentcs.AI

  Scene-grounded decoding keeps vision-language plans executable and visually supported

  Sept 2026

• Top Universitycs.AI

  Cross-device workflows expose major weaknesses in today’s GUI agents

  Beihang University, Beijing Institute of Technology · Sept 2026