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Understand new AI research with readable explanations and links to the original papers.
Benchmarking Multimodal Large Language Models for Scientific Visualization Literacy Multimodal large language models (MLLMs) are increasingly used to interpr...
BrainPilot: Automating Brain Discovery with Agentic Research BrainPilot is an open-source, multi-agent system designed to accelerate brain science research b...
The Global Index on Responsible AI: 2026 Report provides a comprehensive assessment of how nations are translating their commitments to responsible artificia...
Concept-Guided Spatial Regularization for World Models in Atari Pong World models are designed to simulate environments, allowing AI agents to learn by pract...
MedFailBench: A Clinician-Built Open-Source Benchmark for Medical AI Safety Boundary Inspection Most existing medical AI benchmarks focus on whether a model...
Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation This paper introduces a new framework designed to improve how we label a...
Long-Context Fine-Tuning with Limited VRAM Training large language models on long sequences is typically limited by the massive amount of memory required to...
CrimeNER Demo is an AI-powered platform designed to help law enforcement agencies and researchers automatically extract and classify crime-related informatio...
Reachability-Aware Pretraining for Efficient Target-Oriented Path Exploration in Temporal Knowledge Graph Reasoning Temporal Knowledge Graphs (TKGs) track ho...
Stop Thinking, Start Looking: Efficient Post-Training for Multimodal Document Question Answering via Reasoning-Free Alignment Multimodal document question an...
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