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2,906 papers
Euston is presented, an 8B mathematical claim-verification model trained to resist the all-false composition of the official evaluation sets and the low precision implied at realistic error prevalence, which is principally the all-false composition of the official evaluation sets.
Semantic-Geometric Decoupled Routing is proposed, a training-free block routing framework that shifts semantic aggregation to the pre-RoPE space and reconstructs geometric bias with an offline structural prior and relative block distances and yields an explicit closed-form block routing score without token-level search...
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.
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...
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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.
Recent advances in natural language processing have led to molecular Large Language Models (LLMs) with strong performance across diverse chemistry tasks. However, they still struggle to capture fine-grained structure-property relationships, particularly how small, localized modifications alter a molecule's behavior. To...
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...
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....
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...
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...
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...
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...
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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