Taxonomy
Fields
Start broad. Fields are the top-level map of what we track, from NLP and multimodal systems to robotics and efficient inference.
Reasoning & Agents
Reasoning, planning, tool use, and agentic workflows.
Recent picks
Interval POMDP Shielding for Imperfect-Perception Agents
ActuBench: A Multi-Agent LLM Pipeline for Generation and Evaluation of Actuarial Reasoning Tasks
Stateless Decision Memory for Enterprise AI Agents
NLP
Language understanding, generation, extraction, and evaluation.
Recent picks
Large Language Models Outperform Humans in Fraud Detection and Resistance to Motivated Investor Pressure
AVISE: Framework for Evaluating the Security of AI Systems
CHASM: Unveiling Covert Advertisements on Chinese Social Media
Machine Learning
Core modeling, optimization, inference, and systems efficiency.
Recent picks
AAC: Admissible-by-Architecture Differentiable Landmark Compression for ALT
Nexusformer: Nonlinear Attention Expansion for Stable and Inheritable Transformer Scaling
Super Apriel: One Checkpoint, Many Speeds
Computer Vision
Image, video, and 3D perception plus visual generation.
Recent picks
GeoRelight: Learning Joint Geometrical Relighting and Reconstruction with Flexible Multi-Modal Diffusion Transformers
Wan-Image: Pushing the Boundaries of Generative Visual Intelligence
MetaCloak-JPEG: JPEG-Robust Adversarial Perturbation for Preventing Unauthorized DreamBooth-Based Deepfake Generation
Robotics
Embodied systems, control, manipulation, and navigation.
Recent picks
JoyAI-RA 0.1: A Foundation Model for Robotic Autonomy
PokeVLA: Empowering Pocket-Sized Vision-Language-Action Model with Comprehensive World Knowledge Guidance
Quadruped Parkour Learning: Sparsely Gated Mixture of Experts with Visual Input
Multimodal
Systems that connect text, vision, audio, and other modalities.
Recent picks
Multimodal Transformer for Sample-Aware Prediction of Metal-Organic Framework Properties
Cross-Modal Bayesian Low-Rank Adaptation for Uncertainty-Aware Multimodal Learning
Causal Diffusion Models for Counterfactual Outcome Distributions in Longitudinal Data
Reinforcement Learning
Sequential decision-making, world models, and policy learning.
Recent picks
Cortex 2.0: Grounding World Models in Real-World Industrial Deployment
Mask World Model: Predicting What Matters for Robust Robot Policy Learning