Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps
Long-context inference in large language models is bottlenecked by the quadratic cost of full attention. Existing efficient alternatives often rely either on native sparse training or on heuristic token eviction, creatin
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