Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models
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2412.02980
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Open X-Embodiment: Robotic Learning Datasets and RT-X Models
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D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning
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Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data
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LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models
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2305.15717
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Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
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2408.03314
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