Category
3,629 papers
HIPPOGRID — evidence pack for the preliminary results (2026) Raw result files, figures and, from version 3, the reproduction code behind the preliminary results cited in the MSCA-PF proposal HIPPOGRID (SEP-211387371, call HORIZON-MSCA-2026-PF-01). Researcher: Álvaro González-Redondo (University of Granada). Each bundle...
[1.4.0] - 2026-09-09 Theme — v1.4 silent wrongs and the hazards behind them v1.3 made the pipeline show where evidence came from. This cycle went after what survives behind that: results that are wrong without saying so, and build hazards that cost hours per run without ever failing. The organizing complaint is that a...
Fitts’s law and Hick’s law both say that time goes as log_2. This paper asks whether they are saying the same thing──the answer is that what is inside the log_2 differs: a dimensionless ratio in one, a count in the other. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new ma...
The rapidly expanding body of chemical literature contains physical data scattered across unstructured text and complex tables in thousands of publications. Translating this information into machine-readable formats is essential for training data-driven chemical models. The lack of uncertainty quantification in computa...
Reach audiences
Advertise in front of researchers, engineers, and readers.
Replace hydrogen with deuterium and a reaction rate changes. This paper asks why changing only the mass moves the rate──the answer is that the energy of standing still is set by the mass. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new law...
The strength of a material appears in handbooks as one number. This paper asks what number that is──the answer is a number that means nothing unless the specimen volume is written beside it. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new l...
Companion data archive for the paper "Strangers to Themselves: What Language Models Say About Themselves Is Generic". The code, the slimmed scoring record and the generated paper tables live in the GitHub repository. That repository alone reproduces every number in the paper. This archive holds the parts that were too...
Abstract—Programming activities, such as automatic debugging and program repair, are increasingly being supported by Generative Artificial Intelligence (GenAI). However, a rigorous empirical evaluation of the efficacy of various large language models (LLMs) across several debugging phases is necessary. Using a benchmar...
We approach a cognitive simulation perspective on episodic and semantic memory in multiple-choice question answering by incorporating text from individual text corpora (ITC) into retrieval-augmented generation and DoRA fine-tuning. We web-crawl the search histories of 515 participants who answered 36 multiple-choice kn...
This work presents a data-centric pipeline that constructs complementary corpora by mining open-source reasoning traces, distilling financial instruction data, and generating knowledge-graph-guided question-answer pairs from financial educational material and shows that retention-aware adaptation can improve financial...
BuzzASR is introduced, a collection of language-specialized fine-tuned Whisper models adapted for automatic speech recognition (ASR) in 102 languages, which achieve state-of-the-art CER among open-source systems on 27 of 102 languages on the combined FLEURS and Common Voice test set.
Speculative decoding is critical for accelerating LLM inference. However, the speedup is fragile: drafters are typically trained against a narrow distribution for a single target model, and their acceptance rate collapses under workload shifts. This is a striking inversion of modern LLM development, where target models...
A Blog post by NVIDIA on Hugging Face
Data Mining & Modeling
A Blog post by Ai2 on Hugging Face
A Blog post by IBM Research on Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A Blog post by IBM Granite on Hugging Face
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
