This work introduces physical rank consistency (PRC) to measure how well tokenization preserves local physical distance rankings after reconstruction, and presents ActionPiece, which preserves physical action relationships through joint supervision of representation learning and quantization.
Shijie Lian, Bin Yu, Zhao-Long Shen et al.· 1 citation
These findings establish articulated rationales as a useful complement to behavioral and content signals, and demonstrate a practical role for MLLMs in scaling sparse human explanations into preference information that improves industrial recommendation.
Hao-Ke Xiao, Yue-Yang Liu, Yu-Hui Zhang et al.· 0 citations
Immigration is one of the most politically salient and emotionally charged issues in contemporary public life, shaping debates about national identity, belonging, economic change and social order. Social media platforms have become central arenas in which these debates unfold, allowing immigration-related claims, fears...
Andrea Pio Nasuto· University of Liverpool· 0 citations
--- ## Alternative Titles 1. **The New Electricity: Artificial Intelligence as Protector of Future Welfare — An Analytical Study of AI Adoption in India** 2. **AI as Rakshak: Examining the Transformative Promise, Ethical Challenges, and Policy Imperatives of Artificial Intelligence in the Indian Context** 3. **From Thr...
Sudhakar Geruganti· Zenodo (CERN European Organi...· 0 citations
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The paper presents a novel large language model-based neighbourhood search method for production scheduling using discrete-event simulation (DES) as the modelling and evaluation engine. The combination of large language models (LLMs) and DES represents a relatively new area of research with significant potential. The c...
Róbert Skapinyecz· Machine Learning and Knowled...· 0 citations
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22775771. Summary The authors tackle a real obstacle in interpretability: you can't compare SAE features across training checkpoints, because separately trained dictionaries assign...
Sneh Pankajbhai Vora· Zenodo (CERN European Organi...· 0 citations
We reproduce and extend FinRL-DeepSeek (Benhenda, 2025), a trading framework combining Proximal Policy Optimization (PPO) (Schulman et al., 2017), Conditional Value-at-Risk (CVaR) constraints (Rockafellar and Uryasev, 2000), and large language model (LLM) signals extracted from financial news. Using the Nasdaq-100 univ...
Machine Health Copilot is a predictive-maintenance system designed to make machine-learning diagnostics more useful and trustworthy for equipment operators. The system separates prediction from explanation: a numerical model determines the machine's condition, while the language layer is grounded in that structured ass...
Ananya Tripathi, Haricharan S. Mylaraiah· Zenodo (CERN European Organi...· 0 citations
The -sigma^2/2 of Black-Scholes is sometimes read as a correction for discounting or risk aversion. This paper shows that it is Itô’s second-order term itself, measurable directly as the gap between mean and median──the ratio agrees with exp(sigma^2T/2) to 12 digits. No new theorem or law is claimed. Scope of this pape...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Depression is common among people with tuberculosis (TB) and may undermine adherence and end-of-treatment success. We quantified the association between depression and adverse TB outcomes, including non-compliance. Following PRISMA 2020, we searched PubMed, Embase, PsycINFO, Web of Science, Scopus, and WHO Global Index...
Jiahong Han, Fan Yang, Jing Wang et al.· BMC Psychiatry· 0 citations
When the same expression appears, the two are taken to be saying the same thing. This paper shows that two derivations agreeing exactly at one point are off by a factor of 2 at the next──agreement is not evidence of a shared root. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
From the perspective of the current development trend of large language models, full evaluation on complete test sets entails high computational, time, and financial costs and cannot meet the need for frequent and rapid testing. Anchor-point evaluation relies on a small number of representative anchor samples to approx...
Jinjin Han· Applied and Computational En...· 0 citations