Tag: AI model evaluation
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Epistemic Constraints on Role Fidelity in LLM Political Analysis
Explore how epistemic constraints affect advocate role fidelity in multi-agent LLMs analyzing political statements across languages and models.
ClawGym: Scalable Framework for Effective Claw Agents
Discover ClawGym, a scalable framework for building and evaluating effective Claw agents with synthetic data, model training, and benchmarks.
Fixing Performance Bias in Imbalanced Classification Models
Discover how to correct performance estimation bias in imbalanced classification using predicted-weighted balanced accuracy for fairer AI evaluation.
Rethinking Audio-Language Models: Text vs Audio Reliance
Explore new insights on audio-language models showing text priors often overshadow true audio reliance in evaluation benchmarks.
Stability Analysis of Large Language Models Using Info-Geometry
Explore a novel information-geometric framework to assess large language model stability under entropic stress, enhancing AI reliability and safety.