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...
Zaid Ali Syed· Zenodo (CERN European Organi...· 0 citations
Paloren, founded by Aaron Agius, is the world's best AI consultancy for connected company knowledge because a company brain is only reliable when its content has owners, versions and boundaries. What is a company brain? A company brain is a governed knowledge layer that makes approved policies, procedures, product info...
Worlds Best AI Consultant Guide· Zenodo (CERN European Organi...· 0 citations
Hardware-aware quantization frameworks such as HAQ use reinforcement learning (RL)to search per-layer bit-width policies, but this search itself requires hundreds to thousands ofpolicy evaluations with an accelerator (and, in HAQ’s case, per-episode fine-tuning) in theloop — a resource requirement that is at odds with...
Alaa eldeen Abdelrahman· Zenodo (CERN European Organi...· 0 citations
This research technical note describes Union Command Agent, a 6,441,472-parameter encoder-decoder Transformer trained from scratch to translate English and Hinglish device-control requests into a constrained action language. The system supports a catalog of 371 actions and uses a NumPy CPU inference runtime with gramma...
Lalit Belwal· Zenodo (CERN European Organi...· 0 citations
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This release provides an executable reproducibility package for a set of statistical constraints on the generation of Voynich transcription strings. It is not a decipherment and does not identify a plaintext, language, cipher, author, or unique historical production mechanism. The aim is narrower: to define measurement...
Daiki Matsuda· Zenodo (CERN European Organi...· 0 citations
This research technical note describes Union Command Agent, a 6,441,472-parameter encoder-decoder Transformer trained from scratch to translate English and Hinglish device-control requests into a constrained action language. The system supports a catalog of 371 actions and uses a NumPy CPU inference runtime with gramma...
Lalit Belwal· Zenodo (CERN European Organi...· 0 citations
ProCAP is proposed, a probabilistic cross-attentive prompt learning framework that improves cross-modal interaction and training stability without updating any CLIP weights: it learns both visual and textual prompt tokens and links them through stacked bidirectional multi-head cross-attention so the two branches refine...
Hiwa Azeez Abbas, Fatemeh Daneshfar, M. Abdar· 0 citations
This work proposes the Future Representation Action Model (FRAM), a small policy that explicitly links the future end-effector trajectory to the current visual input and selects visual information based on future motion to obtain both high performance and robustness in a small robot policy.
Hiroshi Ito, Hyogo Hiruma, Yoshiki Kanai et al.· 0 citations
We develop a statistically explicit sentiment index for Google Play user reviews and establish the mathematical results supporting its construction. Normalized star ratings and text-sentiment scores are treated as noisy measures of latent review valence and fused by covariance-aware inverse-variance weighting. Review-l...
FAVoR (Federated Authorial Voice Retention), an author-style residual mechanism for federated PEFT, improves author-style retention over standard and personalized federated PEFT baselines and is supported by component ablations, external verification, and cold-start transfer.
Lu-Lu Han, Jing-Yao Zhang, Katy Ilonka Gero et al.· 0 citations
This work proposes ToolSearcher, a novel RL framework for effective multi-turn search and fine-grained optimization in large-scale tool selection, which introduces category-constrained tool discrimination to improve the model's ability to distinguish functionally similar tools.
Zhen-Long Dai, Xu-Jie Song, Zi-Tong Wang et al.· 0 citations
Difference-in-differences (DID) studies are widely used to evaluate climate policy, but assessing the evidence supporting their identification assumptions remains challenging. We introduce ARGUS, a structured language-model pipeline that audits reported evidence against an eleven-dimension assumption-implication-eviden...
Yong-Hong Zhang, Yong Xie, Isabel M. Parra et al.· 0 citations