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Antares-3B rivals GPT-5.5 in vulnerability localization while being 200x smaller and achieving rapid, low-cost evaluations.
Congestion can flip the effectiveness of personalization strategies, revealing that SFT and ICL are not always straightforward choices for LLM users.
Current AI agents excel in structured tasks but falter at generating novel insights and tackling open-ended scientific challenges.
INFUSER outperforms a frozen 32B model with just an 8B co-evolving generator, showcasing the power of adaptive question generation in self-evolution.
Neural networks can achieve exponential convergence to structured representations, revealing a surprising link between training dynamics and representation theory.
Two-layer neural nets solve modular addition via a "flawed indicator function" built from noisy single-frequency Fourier features, where phase symmetry enables a majority-voting noise cancellation scheme.
