Evolution, Mechanism, Ability
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The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook
Announce Type: replace Abstract: Latent space is rapidly emerging as a native substrate for language-based models. While modern systems are still commonly understood through explicit token-level generation, an increasing body of work shows that many critical internal processes are more naturally carried out in continuous latent space than in human-readable verbal traces.
Causal Modeling of Selection in Evolution
Announce Type: new Abstract: Understanding potential selection in data is crucial for causal discovery; we argue that "selection" in common narratives takes two forms, which we term static and evolutionary selection, respectively. Static selection refers to a one-shot filtering process where observed data consist of a subset of the population of interest, as in survey volunteer bias. Evolutionary selection, in contrast, operates through repeated rounds of differential fitness in...
ToolFG: Towards Well-Grounded Fine-Grained Image Classification
arXiv:2606.02518v1 Announce Type: new Abstract: Fine-grained image classification (FGIC) has broad applications and has attracted significant research attention. In this paper, we explore a novel paradigm for solving FGIC by proposing \textbf{ToolFG}, the first tool-integrated MLLM-based framework tailored to FGIC. ToolFG enables MLLMs to autonomously and flexibly use external tools during the reasoning process, actively interact with images, and collect verifiable visual cues for...
Tracing the Evolutionary Origin of Interferon to Basal Chordates and Unveiling Its Antiviral Functionality in Jawless Vertebrates
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From flat moss to forests and flowers: Protein discovery may explain how plants conquered land
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Robot fish could unravel how our ancient ancestors first learned to walk
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Lab evolution recreates COVID's path to omicron in months, reveals key conditions
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Model Context Protocols in Adaptive Transport Systems: A Survey
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GateKD: Confidence-Gated Closed-Loop Distillation for Robust Reasoning
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Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory
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