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artificial intelligence

20,463 papers

#artificial intelligence Preprint Oct 2026

inkGround: Benchmarking Fine-grained Visual Grounding Capabilities of Vision-Language Models for Cursive Handwriting in the Wild

Human handwriting is produced as an ordered sequence of pen movements, but an offline image keeps only the final ink. Handwriting trajectory recovery aims to restore the ordered stroke points and their pen-up/pen-down transitions. Existing image-trajectory pair datasets are recorded with digitizing tablets under contro...

Sidra Hanif · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Learning Scientific Trajectories to Predict Future Biomedical Discoveries

AI co-scientists have expanded the use of large language models for generating scientific hypotheses and guiding experimental investigation. Here we investigate whether temporal patterns in the semantic representations of complete biomedical conclusions can guide hypothesis generation. We introduce ForeSCITE, a framewo...

Chia-Hsuan Chang, Brian Ondov, Jiang Lv et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Latent Decision Flow Rewards for Clinical Guideline Reasoning

Clinical practice guidelines encode evidence-based recommendations as conditional decision flows, which makes them a natural source of process supervision for training reasoning models. Two properties of clinical reasoning make this supervision difficult to use. A decision flow consistent with a guideline does not by i...

Gaurav Bhatt, Marinka Zitnik · 0 citations
#artificial intelligence Preprint Open access Oct 2026

SatOps-Decision: Low-Latency Discriminative Decisions for Onboard Satellite Communication Operations

We propose SatOps-Decision, a method for low-latency decisions in satellite communication operations. To the best of our knowledge, it is the first application of Jev-style general-purpose discriminative decision models to satellite operations, and the accompanying benchmark is the first dedicated to this approach. The...

Lifan Mei, Yuxuan Li, Jiaxian Tu et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Geometry Matters in Packed 3D Attention

Packing a 3D volume into a token sequence is not merely long-sequence modeling. Once the volume is packed, sequence order no longer encodes the geometry of the sample---so a positional mechanism indexed by sequence position can learn the memory layout rather than the object. This is a general failure mode for attention...

Amil Khan, Anantajit Subrahmanya, B. S. Manjunath · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Explore Where It Matters: Targeted Exploration for Efficient Rover Adaptation

Future planetary rovers will traverse steep, deformable terrain where slip, sinkage, and terrain deformation can threaten mobility. Although simulation can capture some wheel-soil effects, unmodeled deformable-terrain phenomena create sim-to-real gaps requiring deployment-time adaptation. Yet, rover operations leave li...

Jacob Levy, Arthur Bouton, Tristan D. Hassler et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Information-Theoretic Reliability--Safety Bounds and Finite-Alignment Dynamics in AI Knowledge Distillation

The reliability and safety of artificial intelligence (AI), together with their transfer and evolution through knowledge distillation, have attracted growing attention. We establish an information-theoretic bound on the reliability--safety trade-off and characterize the dynamics of this trade-off under knowledge distil...

Miao-Miao Yi, Zhen-Yu Cai, Y -M. Du et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

When AI performs, what remains? An integrative review of generative AI and cognitive capital in individuals and organizations

Generative artificial intelligence is rapidly entering knowledge work, and its short-term productivity benefits are increasingly documented. Less is known about what happens, over time, to the knowledge, skills and judgment that remain in people and organizations. This integrative narrative review addresses that questi...

Giuseppe Riva, Stefania La Rocca, Brenda K. Wiederhold et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Enhanced image forensics through partial C2PA-based provenance information

Cryptographically verifiable C2PA-based Content Credentials (CCs) can be attached to freshly acquired or generated digital images but also to already existing ones with no previous provenance information, for instance after processing through trusted C2PA-enabled software tools. The latter case leads to images with so-...

Riccardo Ziglio, Eleonora Marchesini, Andrea Montibeller et al. · 0 citations
#artificial intelligence Preprint Oct 2026

On-Policy Self-Distillation with Teacher Evolution

This paper proposes Teacher-Evolution Self-Distillation (TESD), which enables the self-teacher to generate rollouts and receive environmental feedback based on task correctness and context independence and performs teacher-oriented optimization to continuously enhance the model's self-teaching capability during distill...

Shu-Fan Shen, Zhong-Ni Hou, Chao Bi et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

How Deterministic SAST and AI Security Agents Divide the Work: Coverage, Harness Policy and Cost in Snyk VulnBench 2.0

We ask what AI coding agents and AI security harnesses find that deterministic static application security testing (SAST) does not, and what they miss that SAST catches. VulnBench 2.0 is a benchmark of 108 hand-curated, attacker-reachable vulnerabilities in 20 open-source web applications in Go, JavaScript/TypeScript,...

Liran Tal, Chris Liu, Charlotte Fereday et al. · 0 citations
#artificial intelligence Preprint Oct 2026

The Artificial Personality Model: Theory, Implementation, Measurement and Experimental Validation in Conversational Agents

This paper refines and empirically evaluates the Artificial Personality Model (APM), a hybrid framework integrating human-centred and machine-specific personality dimensions, and contributes an empirically refined framework and a novel instrument for measuring perceived artificial personality, offering practical guidan...

Alexander Dregger, Barbarella Petz, Erik Kuhn et al. · 0 citations

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Hugging Face Blog Nov 10, 2026

Decision Models in Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

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