[NeurIPS 2026] Official codebase for the paper "WorldMemArena: Evaluating Multimodal Agent Memory Through Action–World Interaction"
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Updated
May 29, 2026 - Python
[NeurIPS 2026] Official codebase for the paper "WorldMemArena: Evaluating Multimodal Agent Memory Through Action–World Interaction"
Official Repository for NeurIPS'25 Paper "Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task"
Evolving what multimodal agents see and how they read it. Framework, ten reusable task skills, and paper resources.
ManimAgent (EMNLP 2026 Main): self-evolving multimodal agents that turn scientific paper sections into Manim teaching animations, with a dual-channel episodic memory bank.
MedCTA: A Benchmark for Clinical Tool Agents
PosterMELD: Multi-Agent Paper-to-Poster Generation for Controllable Design Diversity with Editable Print-Ready Outputs
[CVPR 2026] SUPERGLASSES: Benchmarking Vision Language Models as Intelligent Agents for AI Smart Glasses
VISTA: Internalizing Collective Visual Experience via On-Policy Distillation for Active Multimodal Agents
A modular framework for benchmarking multimodal AI agents in a reproducible, full-OS environment. Using and adaption of the Smolagents's CodeAgent, Docker containers to run the VM in, VM's created using Qemu.
几何可信具身导航
Evaluation of GPT-4o-mini on OSWorld desktop automation benchmark. Compares screenshot-only vs accessibility tree-enhanced approaches across 10 tasks (Chrome, LibreOffice, file ops, etc). Documents critical coordinate extraction failures and provides architectural recommendations for GUI agents.
Adaptive Recursive Image Grid for Multimodal Agents.
A visual reasoning layer for autonomous scanning probe microscopy: see, remember, revisit, measure, and act. Builds on VISTA: lossless visual memory, calibrated inspection and measurement tools for multimodal agents, evaluated on the STM-Bench simulator.
CoSee is a research prototype for diagnosing shared-state collaboration in resource-constrained visual agents using an auditable Board-based multimodal VQA workflow.
Fully local AI desktop application that uses multi-agent orchestration to analyze short videos (~1 min) through natural language queries. All AI inference runs offline with no cloud dependencies.
Evidence-grounded GRPO diagnostics for document agents.
Legacy PosterMELD project-page history; the production site now ships with the main PosterMELD repository.
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