Tag: AI language models
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Scaling Evaluation-Driven AI for Scientific Discovery
Discover how SimpleTES scales evaluation-driven AI to accelerate scientific breakthroughs across domains with improved efficiency and novel solutions.
Uncovering Local and Global Biases in Multilingual LLMs
Explore how multilingual LLMs show local and global biases, favoring US-centric responses and larger populations in language-based queries.
CulturALL: Benchmarking Multilingual & Multicultural LLM Skills
Discover CulturALL, a benchmark testing large language models' multilingual and multicultural competence on real-world grounded tasks.
Self-Improving Tabular Language Models with Group Alignment
Discover TabGRAA, a self-improving framework for high-quality tabular data generation using iterative group-relative advantage alignment and automated feed...
Detecting Harmful Intent in LLM Residual Streams Geometrically
Discover how harmful intent in large language models can be geometrically identified from residual streams, enhancing AI safety and alignment.