PaLM 540B demonstrates continued scaling benefits by setting new few-shot SOTA results on hundreds of benchmarks and outperforming humans on BIG-bench.
Persistent anti-muslim bias in large language models
6 Pith papers cite this work, alongside 18 external citations. Polarity classification is still indexing.
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LaMDA shows that fine-tuning on human-value annotations and consulting external knowledge sources significantly improves safety and factual grounding in large dialog models beyond what scaling alone achieves.
The authors provide a detailed taxonomy of 21 risks associated with language models, covering discrimination, information leaks, misinformation, malicious applications, interaction harms, and societal impacts like job loss and environmental costs.
Behavioral audit finds emergent, city-dependent racial steering in LLM housing recommendations that changes with user identity and preference context.
Generative AI must be evaluated as recursive pluralist sociotechnical systems via MaSH Loops and distributional World Values Benchmarks instead of static functionalist or prescriptive tests.
PaLM 2 reports state-of-the-art results on language, reasoning, and multilingual tasks with improved efficiency over PaLM.
citing papers explorer
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PaLM: Scaling Language Modeling with Pathways
PaLM 540B demonstrates continued scaling benefits by setting new few-shot SOTA results on hundreds of benchmarks and outperforming humans on BIG-bench.
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LaMDA: Language Models for Dialog Applications
LaMDA shows that fine-tuning on human-value annotations and consulting external knowledge sources significantly improves safety and factual grounding in large dialog models beyond what scaling alone achieves.
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Ethical and social risks of harm from Language Models
The authors provide a detailed taxonomy of 21 risks associated with language models, covering discrimination, information leaks, misinformation, malicious applications, interaction harms, and societal impacts like job loss and environmental costs.
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The Geography of Algorithmic Judgment: LLM Intermediaries, Place Identity, and Racial Steering in Housing Search
Behavioral audit finds emergent, city-dependent racial steering in LLM housing recommendations that changes with user identity and preference context.
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Measuring the Machine: Evaluating Generative AI as Pluralist Sociotechical Systems
Generative AI must be evaluated as recursive pluralist sociotechnical systems via MaSH Loops and distributional World Values Benchmarks instead of static functionalist or prescriptive tests.
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PaLM 2 Technical Report
PaLM 2 reports state-of-the-art results on language, reasoning, and multilingual tasks with improved efficiency over PaLM.