Experimental results demonstrate the method outperforms commercial general and medical LLMs and open-source models and human evaluation further supports the quality of the generated guidance and the feasibility of personalized sleep guidance with SLMs.
Yu-Sheng Tan, Run-Ning Zhao, Sofia Angel et al.· 0 citations
We present Apollo Restore, a 24-billion-parameter large language model for restoring lacunae---physical gaps---in fragmentary Ancient Greek texts. Fine-tuned from Mistral Small with a fill-in-the-middle objective, Apollo Restore reconstructs missing spans without requiring oracle knowledge of their length. To our knowl...
Hope McGovern, A. Dolganov, Samuel Belkadi et al.· 0 citations
Pseudo Self-Distillation is presented, a framework that enables small language models to construct hierarchical memory representations by distilling behavior from a strong black-box oracle through a multi-stage training pipeline, with off-policy PSD achieving the strongest results across most conditions.
Pirzada Suhail, Meng-Lin Xia, Xu-Chao Zhang et al.· 0 citations
The experiments show that existing molecular LLMs and strong proprietary models such as GPT-5.2 and Gemini-3-Flash show limited reliability in substituent contribution prediction, and training on MolSC substantially improves this ability and achieves strong performance across diverse downstream molecular tasks.
Hyuntae Park, Sooyeon Kim, J. Park et al.· 0 citations
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Vision-Language-Action (VLA) models have emerged as a powerful paradigm for embodied intelligence, but fine-tuning them with reinforcement learning (RL) remains constrained by the cost of real-world robot interaction. Model-based reinforcement learning (MBRL) reduces this cost by using a learned world model to generate...
Yi-Fei Sheng, Hao-Xiang Ren, Zhi-Long Zhang et al.· 0 citations
Running large language models locally on integrated graphics is now practical, but the community's model-selection advice is dominated by vibes: "just grab a 2B at Q4." This report presents a controlled, single-machine measurement study of twelve model/quantization configurations across three model families (Qwen2.5-1....
D. Zaragoza Rodriguez· Zenodo (CERN European Organi...· 0 citations
Protein secondary structure prediction (PSSP) on the CB513 benchmark [30] has been near a plateau for close to a decade, and many recent models add protein language-model (pLM) representations on top of increasingly elaborate encoders. How much of a reported gain comes from the representation, and how much from the enc...
Afaque Alam, Mukesh Kumar· Zenodo (CERN European Organi...· 0 citations
A planet’s sphere of influence is taken to be one radius. This paper shows that there are three definitions, with exponents 1/3, 2/5 and 1/2──so changing the mass ratio moves the three apart. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the Hill radius and Laplac...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
About This is a single-author, source-verified bibliographic dataset of 301 works of historical detective fiction – single novels and whole series, first published between 1594 and 2023, in 36 original languages, in 46 countries. Each of the 301 entries is a bibliographic record carrying an annotation, describing why t...
Marina Bulakhova· Zenodo (CERN European Organi...· 0 citations
A liquid with small spheres mixed in at volume fraction φ has, when dilute, (1 + 2.5φ) times its original viscosity. Einstein wrote the coefficient as 1 in his 1906 doctoral thesis and corrected it to 2.5 in 1911. This paper checks the Stokes solution for a sphere in a uniform straining flow by symbolic computation, ob...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Tracing every edge and visiting every vertex are taken to be two forms of one problem. This paper shows that adding one and the same edge destroys only one of them──one has a certificate at each vertex and the other has none. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is c...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Small local language models are attractive for privacy-preserving penetration-testing assistants, but their module choices must remain reliable when target-controlled banners contain misleading or instruction-like text. We evaluate module selection in three experiments on an Apple M2 system with 8 GB of memory. A verif...
Piyush Shukla· Zenodo (CERN European Organi...· 0 citations