arXiv:2602.10230v1 Announce Type: new Abstract: Large audio language models are increasingly used for complex audio understanding tasks, but they struggle with temporal tasks that require precise temporal grounding, such as word alignment and speaker diarization. The standard approach, where we generate timestamps as sequences of text tokens, is computationally expensive and prone to hallucination, especially when processing audio lengths outside the model’s training distribution. In this work, we propose frame-level internal tool use, a method that trains audio […]

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Let $mathbb{K}$ be a non-Archimedean valued field. Let begin{align*} p(z)=a_0+a_1z+cdots+a_{n-1}z^{n-1}+a_nz^nin mathbb{K}[z], quad a_n neq 0. end{align*} If $lambda in mathbb{K}$ satisfies $p(lambda)=0$, then we show that begin{align*} |lambda|leq min left{1, frac{1}{|a_n|^frac{1}{n}}left(max_{0leq j leq n-1}|a_j|right)^frac{1}{n}right } end{align*} or begin{align*} 1leq |lambda|leq frac{1}{|a_n|}max_{0leq j leq n-1}|a_j|. end{align*} This is the non-Archimedean version of the Cauchy upper bound for every root of a complex polynomial derived by Cauchy in 1829. Our bound is different from the non-Archimedean bound obtained by Nica […]

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Drug discovery is one of the most expensive and time-consuming endeavors in human history. It takes roughly 10 to 15 years to go from target discovery to regulatory approval for a new drug in the United States. Most of that time is spent not in breakthrough moments, but in painstaking analytical work — sifting through mountains of literature, designing reagents, and interpreting complex biological data. OpenAI believes AI can help compress those timelines, and today it introduced its […]

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The development of the state-of-the-art telescopic systems capable of performing expansive sky surveys such as the Sloan Digital Sky Survey, Euclid, and the Rubin Observatory’s Legacy Survey of Space and Time (LSST) has significantly advanced efforts to refine cosmological models. These advances offer deeper insight into persistent challenges in astrophysics and our understanding of the Universe’s evolution. A critical component of this progress is the reliable estimation of photometric redshifts (Pz). To improve the precision and efficiency of […]

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Deep reinforcement learning systems often suffer from unstable training dynamics due to non-stationarity, where learning objectives and data distributions evolve over time. We show that under non-stationary targets, isotropic Gaussian embeddings are provably advantageous. In particular, they induce stable tracking of time-varying targets for linear readouts, achieve maximal entropy under a fixed variance budget, and encourage a balanced use of all representational dimensions–all of which enable agents to be more adaptive and stable. Building on this insight, we […]

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arXiv:2601.05299v1 Announce Type: new Abstract: Amid the rapid digitalization of judicial systems, the integration of big data into adjudication remains underexplored, particularly in uncovering the structural logic of legal applications. This study bridges this gap by employing social network analysis (SNA) to examine credit card disputes involving personal information protection adjudicated in Beijing. By constructing a legal citation network, we reveal the latent patterns of substantive and procedural law application. The findings demonstrate that SNA can effectively identify […]

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