AI
Crypto x AI, AI x Crypto: A Survey
A survey paper explores the intersection of cryptocurrency and artificial intelligence (AI). The authors systematize existing work, summarize key take...
AI
AI
The Metanym Game: An LLM Benchmark Without Ground Truth That Rises With the Models It Measures
Researchers have developed a new benchmark for evaluating large language models (LLMs), called the Metanym Game, which measures their ability to gener...
AI
Know2Guess: A Contamination-Aware Multi-Zone Benchmark for Knowledge-Boundary Evaluation in Large Language Models
A new benchmark called Know2Guess has been developed to evaluate the reliability of large language models. The benchmark separates supported answering...
AI
MatMMExtract: An Open-Source Pipeline for Panel-Level Extraction of Grounded Image-Text Pairs from Materials Science Literature
Researchers have developed an open-source pipeline called MatMMExtract that extracts image-text pairs from materials science literature. The pipeline ...
AI
The Dual Nature of LLM Persona: Aggregated Tendencies and Frame-Dependent Geometry
Researchers have found that Large Language Model (LLM) personalities can be understood in two different ways. Aggregated features, such as personality...
AI
What a World Model Represents Is Three Questions
A new paper explores how world models in AI learn task-relevant information through various routes, including observation reconstruction, recurrent st...
AI
MM-ToolSandBox: A Unified Framework for Evaluating Visual Tool-Calling Agents
Researchers have developed MM-ToolSandBox, a framework for evaluating visual tool-calling agents. This benchmark and evaluation tool includes over 500...
AI
Skillware: A Software Ontology and Engineering Lifecycle for Persistent Behavioral Artifacts
A new software ontology called Skillware has been introduced to define persistent behavioral artifacts in AI agent systems. These artifacts, known as ...
AI
Looks Right, Works Right: A Project-Level Benchmark for Multi-Screen Mobile App Generation
Researchers have created a new benchmark called MobileForge to evaluate the ability of AI models to generate complete mobile apps from visual designs....
AI
Action-grounded tissue affordance enables anticipatory auto-framing that lowers surgeon cognitive workload during laparoscopic surgery
Researchers have developed a system to automatically frame surgical videos during laparoscopic surgery. The system uses machine learning to track the ...
AI
SMOPD: Multi-Reward Reinforcement Learning via Specialize-and-Merge Online Policy Distillation
Researchers have proposed a new method called SMOPD for improving model performance in multi-reward reinforcement learning. The issue with existing me...
AI
Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers
Researchers have developed a new framework called SparkleDock for flexible macromolecular docking on GPU-accelerated supercomputers. The framework ach...