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artificial intelligence

20,518 papers

#artificial intelligence Preprint Open access Oct 2026

LURE: a Phase-Labelled Synthetic Corpus of Online-Grooming Exchanges

Phase-annotated conversational data is essential for studying the progression of online grooming of minors and for developing early warning tools. However, the only publicly available source (i.e., Perverted-Justice archive, which contains a subset coded using ChatCoder) is small, outdated, and frozen. We present a syn...

Emanuele Florindi, Valentina Franzoni, Ludovico Guercio et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Comparative Study of Canvas- and Coordinate-Based Geometry-Conditioned Neural Networks for Real-Time Prediction of Indoor Environments with Varying Room Dimensions

Computational fluid dynamics (CFD) is computationally expensive for iterative building design. Deep learning surrogates offer faster predictions, but generalization across varying room dimensions remains challenging. This study compares two geometry-conditioned neural network surrogate models for rapid indoor airflow a...

Shaofan Wang, Philipp Geyer · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Engram Injection: A Study of Temporal Validity in Parametric Language-Model Memory

A stored fact may stop being valid when a user changes a preference or an event replaces an earlier one. We study whether a language model can learn these changes in its parameters and answer correctly from only a question and the current time. Engram Injection stores facts in LoRA adapters and supplies the clock throu...

Sam Siavoshian, Omar Ramadan, Amir K. Saeed et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Attention Sinks in VLMs Are Borrowed, Not Seen

We study how to detect and mitigate visual attention sinks in vision-language models (VLMs). Visual attention sinks are image tokens that absorb a large share of attention over the image regardless of the query or task, and they mislead methods that treat attention maps as a record of where the model ``looked.'' Prior...

Dengjia Zhang, Alexander Martin, Pengyu Yan et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Passing Tests, Missing Semantics: Evidence of Interpretive Lock-In in Plan-Based DataFrame Code Generation

Planning and revision are intended to bring generated code closer to the task specification. Yet a mistaken interpretation can persist across the plan, implementation, and tests - a pattern we call interpretive lock-in. We investigate this risk on 30 DataFrame tasks derived from TPC Benchmark DS, comparing Frozen One-P...

Jingjing (May), Liu, Dishu Yang et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Visible but Not Avoided: State-Dependent Re-Proposal of Rejected Candidates in Catalog-Based LLM Optimization Loops

LLM optimization loops often show the proposer the candidates it has already tried and rejected, but leave it to the proposer to avoid them. We ask whether avoidance measured in a static probe predicts avoidance in the states an optimizer's own trajectory produces. In catalog-based loops where three open LLMs improve a...

Jianlin Chen, Wenhui Chen, Chi Man Vong · 0 citations
#artificial intelligence Preprint Open access Oct 2026

History Replays Itself: Unleashing Long-Context Capability in Linear Attention

Linear attention promises the efficiency needed for long-context language modelling, yet its fixed-size recurrent state must simultaneously support ongoing computation and preserve information from an ever-growing history. This coupling has reinforced a prevailing view that the state's memory capacity defines the model...

Li Nanbo, Firas Laakom, Yilan Zhang et al. · 0 citations
#artificial intelligence Preprint Oct 2026

MedHarnessBench: A Unified Benchmark for Healthcare Agent Evaluation

Healthcare agents must transform longitudinal clinical evidence into reliable actions through heterogeneous tools and stateful workflows, conditions under which model-centric systems may lose context, misuse tools, fail to verify consequential transitions, or cross authorization boundaries. Existing medical-agent bench...

Rui Tang, Hong-Qiu Wang · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Suggested Is Not Superseded: A Pre-Registered Evaluation of a System-One Model as a Memory-Retirement Gate

Long-term memory for assistants needs a gate that decides when a new utterance retires an old stored claim. Benchmark labels for this step mark a pair as changed or not, so they cannot tell a gate that acts on established change from one that acts on a hint. We write a task contract that separates the two (SUPERSEDED v...

Xupeng Chen, Chenqian Le · 0 citations

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Hugging Face Blog Nov 10, 2026

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