PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
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2402.08714
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Published
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10
Papers to read
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Data Engineering for Scaling Language Models to 128K Context
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RLVF: Learning from Verbal Feedback without Overgeneralization
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LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
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Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model
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How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study
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Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
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InstantFamily: Masked Attention for Zero-shot Multi-ID Image Generation
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NeedleBench: Can LLMs Do Retrieval and Reasoning in 1 Million Context Window?
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One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
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Provably Robust DPO: Aligning Language Models with Noisy Feedback
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