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Results show that feature recurrence can overstate cross-lingual transfer, while identifying a language-agnostic translation-initiation direction in Gemma 2 and Gemma 3.
This perspective lays down the basic concepts needed to understand MEG foundation models and provides a didactic overview of the field's key design choices, including tokenization, sensor- versus source-space representations, sensor-geometry encoding, backbone architectures, self-supervised objectives, and pretraining...
PLUME (Personalized Low-Rank Adaptation through User Modulation and Shared Subspace), a lightweight framework that achieves efficient and expressive per-user adaptation by leveraging a shared task-specific subspace, is proposed as a scalable and semantically grounded approach to LLM personalization.
Overall, the results challenge the assumption that effective post-training must be token-intensive and point to a new direction for understanding and designing more efficient post-training algorithms.
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GSMultiAgent is proposed, a multi-agent collaborative cascade framework built atop Hermes Agent, which transforms natural-language mission requirements into optimized guidance system models through structured agent cooperation with feedback-driven iterative refinement and establishes multi-agent coordination with struc...
A novel empirical study targeting three domain- specific languages for transformation rules, namely Comby, GritQL, and Ast-Grep, which shows great potential for LLMs to generate sound, correct, generalizable, and reusable rules.
How many words can you write before a language model can infer who you are? This work went looking for that number and found that the question is malformed, which is itself the finding. 72 authors from the Blog Authorship Corpus, balanced across three age bands and both genders, were shown to local language models in g...
While self-assessment against marking criteria is widely advocated, its effects on different components of student work remain unclear. This study evaluates a redesign of a UK foundation-year engineering laboratory module incorporating a structured self-assessment coversheet and a progressive authorship scheme. Across...
Deception probes on language models answer a binary question: is this response deceptive? Charts allow a graded one, because a chart rendered from its own distortion parameters has an exact Tufte Lie Factor. We render 1,685 charts from real statistical series under parameterised distortions and train linear probes on t...
TDLT_YasudaK π Ab Initio Transcendence What is presented here constitutes only a small sample of several years of independent research. This work does not ask the reader to accept The Dark Light Theory (TDLT) through persuasion. TDLT is proposed as a continuous dependency architecture, in which later structures are int...
TOPO-2026 Validation Framework: Complete Summary Document Overview Title: TOPO-2026 Validation Framework: A Dual-Approach Evaluation Suite for Certified Vision-Language Models Author: Frank Morales Aguilera, BEng, MEng, SMIEEE Affiliation: Sovereign Machine Laboratory (SOMALA), Montreal, Canada Date: August 2026 Core P...
Short takeaway: Mnemorphics is a mega‑document—a merged research codex—combining acoustic metamaterials, shockwave diodes, energy‑harvesting physics, AI cognitive‑warfare systems, particle‑capture engineering, and large‑scale defensive architecture. It reads like a fusion of hard engineering, corrected physical models,...
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