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Index SLM Technical Report
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arXiv:2607.09885v1 Announce Type: new Abstract: We present Index-1.9B, a series of open small language models developed at Bilibili. The series compri…
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PriFT: Prior-Support Guided Supervised Fine-Tuning
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arXiv:2606.09396v1 Announce Type: cross Abstract: Supervised fine-tuning (SFT) is an efficient approach for downstream task adaptation and often serve…
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DiBS: Diffusion-Informed Branch Selection
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arXiv:2606.06518v1 Announce Type: new Abstract: Sudoku is a representative constraint satisfaction problem that requires global structural reasoning u…
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Token Rankings are Unforgeable Language Model Signatures
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arXiv:2606.04459v1 Announce Type: cross Abstract: Language model parameters are known to impose unique (to each model) geometric constraints on their …
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Cost-Aware Diffusion Draft Trees for Speculative Decoding
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arXiv:2606.01813v1 Announce Type: new Abstract: Speculative decoding accelerates inference by having a lightweight drafter propose tokens verified in …
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Differentiable Belief-based Opponent Shaping
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arXiv:2605.29042v1 Announce Type: new Abstract: Human coordination often relies on the ability to influence the beliefs of others through strategic ac…
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Guiding Token-Sparse Diffusion Models
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arXiv:2601.01608v2 Announce Type: replace Abstract: Diffusion models deliver high quality in image synthesis but remain expensive during training and …
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FGSVQA: Frequency-Guided Short-form Video Quality Assessment
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arXiv:2605.20016v1 Announce Type: cross Abstract: Short-form video poses new challenges to the quality assessment of user-generated content (UGC) due …
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Probability-Conserving Flow Guidance
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arXiv:2605.20079v1 Announce Type: cross Abstract: Diffusion and flow-based generative models dominate visual synthesis, with guidance aligning samples…
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Backdooring Masked Diffusion Language Models
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arXiv:2605.19262v1 Announce Type: new Abstract: Masked diffusion language models (MDLMs) are emerging as a compelling new paradigm for text generation…
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Feedback World Model Enables Precise Guidance of Diffusion Policy
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arXiv:2605.15705v1 Announce Type: cross Abstract: World models aim to improve robotic decision making by predicting the consequences of actions. Howev…