Improving is expected to bring advantage. This paper shows that if the other improves as much, nothing changes──and that stopping nonetheless costs a great deal. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the Red Queen hypothesis, coevolution and relative fitne...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Shake oil and water hard enough and they look mixed. This paper shows that they have not mixed──the finer the division the more boundary there is and the higher the energy. Separation has merely become slow. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──interfacia...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
This review discusses recent research from the perspective of a complete "perception-decision-execution-feedback" process, and focuses on the main topics operator action and intention recognition, perception of part states, task allocation under human-related constraints, safe trajectory planning, and quality feedback.
This paper provides a high-level narrative summary of the physics arc (Papers 01–25) of the NEMS suite: semantic closure, self-containment, and their consequences in physics and quantum gravity. The suite introduces a formal "no external model selection" principle, classifies realized systems into a small set of univer...
Nova Spivack· Zenodo (CERN European Organi...· 0 citations
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Consumers increasingly ask conversational large language models (LLMs) which product or company to choose, yet little is documented about how stable those recommendations are under repetition. We conducted an exploratory study of run-to-run consistency for two widely used web-search-enabled assistants, OpenAI's ChatGPT...
Pressfront Research· Zenodo (CERN European Organi...· 0 citations
Consumers increasingly ask conversational large language models (LLMs) which product or company to choose, yet little is documented about how stable those recommendations are under repetition. We conducted an exploratory study of run-to-run consistency for two widely used web-search-enabled assistants, OpenAI's ChatGPT...
Pressfront Research· Zenodo (CERN European Organi...· 0 citations
With targeted methodological refinements - including standardization of QUIPS implementation and validation against expert ratings - automated ROB assessments may meaningfully reduce time and cost of systematic reviews of prognosis studies in neurology and beyond.
S. Kampman, K. Braun, W. Otte· medRxiv· 0 citations
We investigate the effect of pretrained T5 model scale and explicit motion features on pose-to-text Indian Sign Language Translation (SLT) for the WSLP 2026 Shared Task. Pose sequences are projected into the embedding space of T5 through a lightweight pose encoder, with the complete model fine-tuned to generate English...
Across reasoning, long-context understanding, and agentic tasks, SAS consistently outperforms trainable sparse attention baselines across attention budgets, with especially large gains under tight budgets, demonstrating more effective context ranking for downstream tasks.
SWARM (Search-Web documents Annotated for Russian propaganda, Multilingual), a dataset of 2,183 search engine results across nine languages and diverse web domains, each annotated by trained coders for whether it supports a recurring Russian propaganda narrative is introduced.
Manuel Tonneau, A. Dubey, Farhan Shaikh et al.· 0 citations
This work presents ZipBench, a simple and low-cost BCM with theoretical error and rank-consistency guarantees that reduces the cost of both LLM evaluation and compact benchmark construction, lowering the barrier to broad LLM research for compute-constrained researchers.
Zhong-Zhan Huang, Jun-Xin Li, Guo-Ming Ling et al.· 0 citations
This work introduces SynthSentry, a corpus-level, model-agnostic contamination signal requiring no access to the generating model, no generation history, and no synthetic labels, and frames screening as a data-curation defense rather than a post-hoc diagnosis and releases the scoring toolkit.
Praveen Kumar Myakala, Ravichandra Namburi, S. Jayaramu et al.· 0 citations
