How do we define an occupation? By its job title? An accountant at a small trading company keeps the books; at a listed firm the same title demands a certified-accountant licence, and the week goes to the reports that regulators and the board read. Same title, different bar, different work. What defines an occupation i...
Qingqing Chen, Ying Fang, Xiang-Yu Wang et al.· 0 citations
It is demonstrated that finite-difference time-domain dynamics can be reproduced with field variables restricted to the ternary alphabet, and its extension to acoustics, Virieux-type elastodynamics and Schrodinger-equation solvers points to a broader class of quantised physics solvers for resource-constrained and speci...
This work empirically study the potential of outer prefixes, revealing the mechanism of the impact of distributional discrepancy to the exploration dynamics in RLVR training and efficiently mitigates entropy collapse without requiring additional SFT, intricate reward designs, or complex prompting.
Xin Shen, Huishuai Zhang, Peng Li et al.· 2 citations· ⚡1
This work shows that $\beta$ entangles two distinct roles: it governs the effective inverse preference-noise scale and simultaneously rescales the optimization dynamics, coupling this scale with the effective step size, and proposes a centered-softplus reformulation that is argmin-equivalent to DPO for $\beta>0$, while...
Ivan Kruzhilov· 0 citations
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Experimental results show that CritICL consistently outperforms standard in-context learning and achieves performance competitive with or superior to test-time scaling methods, while requiring significantly fewer generations and lower token cost.
Yu-Fan Wu, Ying-Hui He, Zhengyi Hu et al.· 1 citation
Large-scale, standardized datasets have driven many advances in AI-based scientific modeling, from protein structure prediction to natural language processing. Infectious disease epidemiology is increasingly adopting AI methods for forecasting, surveillance, and outbreak analytics, but the time-series data available to...
C. Dudley, Reiden Magdaleno, Marisa C. Eisenberg· 0 citations
This work introduces Visual Retrieval Heads (VRHs), a small subset of attention heads that are causally responsible for grounding text descriptions to image regions, and shows that scoring attention from output prediction tokens with a sum over the ground-truth referent region most reliably identifies causal heads.
Chanho Park, Daehyeon Choi, Jihyun Lee et al.· 1 citation· ⚡1
This report presents an open pretraining recipe that trains a collection of Puro-2B models from scratch on up to 1.4 trillion tokens with FP8 precision on consumer-grade RTX 5090 GPUs, and derives a Puro Cost Scaling Law that relates training cost to average model performance.
Kairong Luo, Jia-Rui Cui, Yao-Rui Yin et al.· 0 citations
This study provides a systematic comparison of several open-source LLMs on a structured intestinal symptom extraction task and concludes that Qwen3 models offer a favorable balance between accuracy and efficiency, making them suitable for resource-constrained scenarios.
Xin-Yue Zhang, Quan-Yu Wang, Beibei Liu et al.· Journal of Medical Internet...· 0 citations
CMPM, a Chinese Multi-Panel Meme benchmark with 1,214 annotated samples covering five structural types, ordering dependency, panel-order constraints, and optional comment context, is introduced and results indicate that canonical-display accuracy is not by itself evidence of order understanding.
Haihan Li, Hai-Hao Li, Zheng-Jie Xu et al.· 0 citations
FLARE is proposed, a novel framework that endows VLAs with robust error recovery capabilities through a ``Retry" and ``Reset" Paradigm, and significantly improves task success and robustness.
Ganlong Zhao, Zijia Tang, Xingping Chen et al.· 3 citations
The effect of introducing the manager-worker scaffold over a shared filesystem workspace, with no training and no per-benchmark tuning, measured against the same model answering in a single pass is investigated, finding several mechanisms behind the gains.
Victor Gao, Vida Khosrowshahi, Ali Khosrowshahi et al.· 0 citations
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
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