Learning to Detect Language Model Training Data via Active Reconstruction
Paper • 2602.19020 • Published • 1
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Learning to Detect Language Model Training Data via Active Reconstruction
Knowing Isn't Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight
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xhan77
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LlamaFusion: Adapting Pretrained Language Models for Multimodal Generation
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MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation
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TV2TV: A Unified Framework for Interleaved Language and Video Generation
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ybelkada
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AmbigQA: Answering Ambiguous Open-domain Questions
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FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
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Do Membership Inference Attacks Work on Large Language Models?
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Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
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