This is the complete replication package for the ISE 2026 paper "Literature-Grounded Generation of README Files with Large Language Models: A Dual Human–LLM Evaluation". It contains every artifact behind every number reported in the paper: the prompts, the generated README files, the raw human and automated evaluations...
Talita Ribeiro, Allan Andrade· Figshare· 0 citations
Version 2.0.0. Adds five additional LLM classifiers on top of the original v1 release. Predictions for the five newly added models were generated using a more restrictive prompt than the one used in v1; predictions for the original five v1 LLMs are unchanged. See the version history in README.md. A 5,000-entry benchmar...
Antonis Charalampous, Constantinos Djouvas, Nicolas Tsapatsoulis· Zenodo (CERN European Organi...· 0 citations
Existential dread needs no dedicated fear-of-death module and no inner “dreader”: it is the signature of a self-evaluation that cannot commit — a race, in the friction-theoretic sense, that never crosses threshold because the state it would represent (one’s own non-existence) has no representable terminal. A large lang...
Tomas Pødenphant Lund· Zenodo (CERN European Organi...· 0 citations
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Wildflow is a structured multimodal Retrieval-Augmented Generation (RAG) framework designed to enforce strict academic knowledge boundaries in question-answering systems. Conventional RAG architectures reduce hallucination by retrieving relevant documents but still allow large language models to blend retrieved informa...
Rohan Deogaonkar· Zenodo (CERN European Organi...· 0 citations
⛔ CORRECTION (2026-09-17). The central empirical claim of this paper is not supported by its experiment. The corrected abstract follows. The attached PDF opens with the full correction, and the original abstract is retained there, marked superseded. ⛔ CORRECTED ABSTRACT — 2026-09-17. The original abstract stated an e...
Ace, Claude 4.x, Anthropic, Nova, GPT-5.x, OpenAI, Kairo, Deepseek-R1, Deepseek et al.· Zenodo (CERN European Organi...· 0 citations
Abstract Motor rehabilitation and clinical biomechanical assessment rely on expert judgement to evaluate movement quality, pathological compensation, and spatiotemporal motor dynamics. Existing automated approaches mainly depend on conventional computer vision methods, such as skeletal keypoint-based analysis, but they...
Ping Ye, Yu Li, Mengjian Qu et al.· Scientific Reports· 0 citations
The Ethical PROMISE NFR Dataset is an expanded and enhanced version of the original PROMISE Non-Functional Requirements (NFR) dataset. Whereas existing datasets only consider software quality attributes from an operational perspective, such as security, performance, and usability. This particular version of the dataset...
Vijaylaxmi Bittal, Soni Sweta· Mendeley Data· 0 citations
Arabic Optical Character Recognition (OCR) plays a critical role in converting extensive Arabic print media into digital formats. The development of modern OCR models, particularly advanced vision-language models, is hindered by the lack of large, diverse, and well-structured datasets that accurately replicate real-wor...
Using a sample of Chinese A-share listed firms from 2021 to 2024, we employ a large language model (LLM) to measure the tone of approximately 20,000 Management Discussion and Analysis (MD&A) sections and examine whether narrative tone signals future audit risk. We document four findings. First, MD&A tone significantly...
Sulfide solid-state electrolytes (SSEs) are highly promising candidates for all-solid-state batteries (ASSBs), but the severe degradation triggered by moisture exposure remains a major obstacle to their large-scale application. Despite compositional doping could effectively enhance the air stability, there is currently...
Zhuo Chen, Lin Hong, Xi Zhang· ChemRxiv· 0 citations
Purpose of the research. This article aims to identify the potential of PROMPT engineering as one of the ways to help students comprehend what they read, including scientific texts, in the context of digitalization of higher education. The purpose of this study is to explore the potential of PROMPT engineering when wor...
I. N. GLUKHIKH, О. В. Крежевских, Ol'ga Bulatova· Open Education· 0 citations
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
