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When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale

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Ruliology: Linking Computation, Observers and Physical Law

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Evaluating and Mitigating Discrimination in Language Model Decisions

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Elo Uncovered: Robustness and Best Practices in Language Model Evaluation

WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models

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Diffusion Model Alignment Using Direct Preference Optimization

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MART: Improving LLM Safety with Multi-round Automatic Red-Teaming

Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

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Technical Report: Large Language Models can Strategically Deceive their Users when Put Under Pressure

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On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving

Diagnosing AI Explanation Methods with Folk Concepts of Behavior | Journal of Artificial Intelligence Research

Preventing Language Models From Hiding Their Reasoning