Tag: benchmarking LLMs
Browse our exclusive articles!
Can Large Language Models Accurately Perceive Time?
Explore how large language models struggle to estimate task durations accurately, impacting scheduling and planning in AI applications.
How Emotion Enhances Behavior in LLMs and AI Agents
Discover how emotion influences large language models and AI agents, improving reasoning, safety, and multi-step behaviors with the E-STEER framework.
Tucker Attention: Efficient Generalized Approximate Mechanism
Discover Tucker Attention, a parameter-efficient generalization of approximate attention methods, enhancing performance in LLMs and vision transformers.
Boosting Analogical Reasoning in Narratives with LLM Abstractions
Discover how LLM-derived abstractions enhance structural mapping for improved analogical reasoning in narrative AI models using the YARN framework.
How Markdown Training Influences Em Dash Use in LLMs
Explore how markdown training shapes em dash usage in large language models, revealing unique stylistic fingerprints and fine-tuning insights.