Jun 5, 2026
DragOn: A Benchmark and Dataset for Drag-Based GUI Interactions
GUI agents—AI models designed to control computers by interacting with screens—have made significant progress in clicking on buttons and icons.
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
Jun 5, 2026
MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery
MLEvolve is a framework designed to help AI agents autonomously discover and optimize machine learning algorithms over long periods.
Jun 5, 2026
TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management
TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management Large language models often struggle with long-running tasks because thei...
Jun 5, 2026
From Reward-Hack Activations to Agentic Risk States: Context-Calibrated Mechanistic Monitoring in LLM Agents
From Reward-Hack Activations to Agentic Risk States: Context-Calibrated Mechanistic Monitoring in LLM Agents This research investigates how safety monitoring...
Jun 5, 2026
Vortex: Efficient and Programmable Sparse Attention Serving for AI Agents
Vortex is a system designed to simplify and accelerate the development of sparse attention algorithms for Large Language Models (LLMs).
Jun 5, 2026
Humans' ALMANAC: A Human Collaboration Dataset of Action-Level Mental Model Annotations for Agent Collaboration
Recent advances in Large Language Model (LLM) agents have enabled them to perform complex tasks like planning and tool use, yet they often struggle to act as...
Jun 5, 2026
RedKnot: Efficient Long-Context LLM Serving with Head-Aware KV Reuse and SegPagedAttention
RedKnot is a new system designed to make Large Language Model (LLM) serving faster and more efficient by changing how the KV cache—a memory-intensive compone...
Jun 5, 2026
TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models
TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models Time series foundation models are designed to learn general patterns fr...
Jun 5, 2026
Closing the Loop on Latent Reasoning via Test-Time Reconstruction
Closing the Loop on Latent Reasoning via Test-Time Reconstruction Recent advancements in AI have shifted intermediate reasoning from readable natural-languag...
Jun 4, 2026
AICompanionBench: Benchmarking LLMs-as-Judges for AI Companion Safety
AICompanionBench: Benchmarking LLMs-as-Judges for AI Companion Safety As AI companion platforms like Replika and Character.AI grow in popularity, there is an...
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