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SplitJEPA is introduced, a JEPA that jointly recovers the latent state and its invariant and variant organization directly in representation space, without any reconstruction, and extends reconstruction-free latent recovery to invariant-variant block identification.
TALRanker is a novel framework that formalizes pointwise relevance scoring as an agentic Markov decision process that achieves state-of-the-art performance across standard and reasoning-intensive retrieval benchmarks, matching throughput with pointwise rerankers while outperforming parameter-heavy reasoning models.
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