Tag: AI Benchmarks
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Text2DistBench: Benchmarking LLMs’ Distributional Reading Skills
Discover Text2DistBench, a new benchmark evaluating large language models' ability to understand distributional reading comprehension beyond factual recall...
A-MBER: Benchmark for Long-Term Emotion Recognition AI
Discover A-MBER, a benchmark evaluating AI's ability to recognize emotions using long-term memory for more empathetic user interactions.
Emotion-Sensitive Decision Making in Small Language Models
Explore how emotion influences decision making in small language models using game-theoretic benchmarks and activation steering techniques.
CAKE Benchmark: Evaluating LLMs on Cloud Architecture Knowledge
Discover how the CAKE benchmark assesses large language models' understanding of cloud-native architecture through expert-validated questions and dual-form...
StarVLA: Modular Codebase for Vision-Language-Action Models
Discover StarVLA, an open-source modular codebase for Vision-Language-Action models enabling flexible research, reproducibility, and benchmark integration.