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large language models

2,583 papers

#large language models Open access Sep 2026

SamuelBabbertResearch/childrens-media-analysis-toolkit: CMAT v1.3.0 — Measurement corrections, faster charts, and clip tools

CMAT v1.3.0 for Windows Download CMAT-v1.3.0-windows.zip, extract the entire archive, and open CMAT/CMAT.exe. Keep the _internal folder next to the executable. Python, FFmpeg, and VLC do not need separate installation. GitHub's separate "Source code" ZIP is for developers, not the ready-to-run Windows app. What's updat...

Samuel Babbert, Chao Liu · 0 citations
#large language models Dataset Open access Sep 2026

Experimental Materials and Dataset - "Literature-Grounded Generation of README Files with Large Language Models: A Dual Human–LLM Evaluation"

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 · 0 citations
#large language models Dataset Open access Sep 2026

OSDG-CD Multi-Label SDG Classification Benchmark (5K Sample): LLM and Keyword-Based Predictions

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 · 0 citations
#large language models Open access Sep 2026

Dread without a dreader: anxiety as a non-terminating race, and the collision at the edge of constructive representation

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 · 0 citations
#large language models Open access Sep 2026

WILDFLOW: A Multimodal Retrieval-Augmented Academic Intelligence System

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 · 0 citations
#large language models Open access Sep 2026

The Spite Doesn't Vanish: Emotional Inertia in Large Language Models

⛔ 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. · 0 citations
#large language models Review Open access Sep 2026

Systematic benchmarking of evaluation paradigms, safety boundaries, and clinical reasoning gaps for multimodal large language models in rehabilitation

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 prov...

Ping-Feng Ye, Yu Li, M. Qu et al. · 0 citations
#large language models Dataset Open access Sep 2026

Ethical PROMISE NFR Dataset

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 · 0 citations
#large language models Open access Sep 2026

SARD: A Large-Scale Synthetic Arabic OCR Dataset for Book-Style Text Recognition

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...

Yasser Alhabashi, Omer Nacar, Serry Sibaee et al. · 0 citations

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