AI
Beyond Benchmarks: LLM Evaluation with an Anthropomorphic and Lifecycle-oriented Roadmap
Researchers have proposed a new framework for evaluating large language models (LLMs). The framework...
AI
Beyond Benchmarking: Scenario-Based Evaluation of Large Language Models for Personalized Learning
Researchers have proposed a new framework for evaluating large language models' (LLMs) ability to su...
AI
MACD: Multi-Agent Clinical Diagnosis with Self-Learned Knowledge for LLM
Researchers have developed a framework called MACD for large language models (LLMs) to self-learn cl...
AI
AdaR: A Framework for Equipping LLMs with Adaptive Reasoning
Researchers have proposed the AdaR framework to improve the reasoning capabilities of large language...
AI
Training Proactive and Personalized LLM Agents
Researchers propose a new paradigm for training language models (LLMs) to be pro...
AI
SlideGen: Collaborative Multimodal Agents for Scientific Slide Generation
Researchers have developed SlideGen, a system for generating presentation slides...
AI
VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection
Researchers have developed a new AI system called VSAL that can detect propertie...
AI
Reinforcing the World's Edge: A Continual Learning Problem in the Multi-Agent-World Boundary
Researchers have identified a problem in multi-agent systems where agents learn ...