modeling inter-frame dependencies through learnable positional encodings and multi-head self-attention over frame-level CLIP features. Second, a two-stage reranking pipeline first retrieves Top-K ca...
or morphological element implicitly expressing temporal order. By combining multi-head attention with pair-conditioned top-K pooling, the model isolates the most informative contextual tokens for eac...
追求Top 1的极致模型性能;而国内则在算法和硬件上极致优化,重点以有限的算力搏得更高的性能... 与DeepSeek V2/V3用MLA(Multi-head Latent Attention)优化方向类似,NSA依然是在优化Attention...
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