A dual-stream CNN-LSTM framework for spatial anatomical and temporal cardiac dynamics capture in echocardiography.

A self-learning knowledge graph service for AI agents that infers relationships across datasets automatically.

Generative AI model for planar path synthesis of mechanical linkages.

Singing voice conversion framework with fine-grained control over pitch and timbre styles

An AI code reviewer that runs your code to validate changes.

A framework for high-quality pKa data augmentation using quantum-assisted molecular generation.

Framework for agentic discovery of hybrid cardiac electrophysiology models.

An agentic benchmark measuring AI agents' avoidance of animal exploitation.

SpatioTemporal Adaptive Reward Allocation for text-to-image RL post-training.

Benchmark for shifting map-agent evaluation toward satisfaction-aware spatial decision making.

An executable protocol programming system for reliable multi-agent workflows.

A scalable MLLM-to-Lite framework for real-time reproduced content identification.

A framework for self-supervised video representation learning via momentum-guided semantic forecasting.

A framework for AI systems to perform resource-rational mentalizing in conflict

An agentic LLM framework using Collective Skill Tree Search for long-horizon planning and tool use.

Uncertainty-aware Roundabout Optimized Speed Advisory with Reinforcement Learning.

Data-grounded simulation benchmark for long-horizon LLM agent evaluation in retail.

Minecraft-based multi-agent benchmark for time-sensitive complementary collaboration tasks.

Reproducible benchmark for modeling attribute inference from interactive targeted advertising.

A tool/package for evaluating LLM judge reliability with reduced human annotation needs.