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Computer Science & AI
Much of the new work in computer science and AI appears first as a preprint on arXiv. ReadSearch reads those listings every day, with papers OpenAlex files under the same subjects, and this page shows the newest it has, from machine learning and language to systems, theory and security.
The newest 1,000 papers, from 4 November 2026 to 5 November 2026: 1,000 arXiv preprints.
Newest papers, page 13
Adapt the Object to the Subject: Representative Study Material for Empirical Software Engineering
External validity is a central concern in empirical software engineering, yet the debate has largely focused on whether study participants are representative.Optimal Learning in Games with Arbitrary Delays: Best-of-Both-Worlds for Self-Play and Adversarial Opponents
We study learning in zero-sum games with delayed feedback.Adapters as Data: The Latent Space of LoRAs
LoRA adapters are usually treated as finished artifacts rather than as a data modality.The Intrusion Pathway: How Non-Evidential Context Degrades Language Model Performance
Language models lose accuracy when a prompt contains non-evidential context: irrelevant statements from unrelated domains, or random off-distribution tokens, with no competing answer and no semantic…Flexible Piezoelectric Tactile Sensing System for Intelligent Object Recognition
Tactile sensing provides information about object properties that can improve robotic grasping and manipulation.Bridging Structure and Semantics: Knowledge Graph Verification via Triple-to-Text Alignment
Semantic accuracy is an important dimension of knowledge graph quality.PBPO: Prefix-Block Policy Optimization for Diffusion Language Models
Diffusion Large Language Models (dLLMs) commonly decode responses by proceeding autoregressively across blocks while iteratively denoising multiple tokens within each block.EnergyBench: a live, gate-aligned benchmark of day-ahead forecasts for European power markets
Energy forecasting models are usually compared on backtests and fixed public datasets.Thinking Is Not Writing: Designing AI Chatbots to Connect Reasoning and Revision
Supporting students' argumentative writing with AI requires connecting reflection to their revision processes.Rain Beyond Streaks: Cascaded Realistic Rain and Wet Surface Synthesis via Scene Priors
Realistic rain synthesis is a persistent challenge for vision systems operating in adverse weather.Dataset Collection and Fine-Tuning of NLLB for German--English Translation
This paper describes the curation of a high-quality parallel corpus from OPUS Books and the fine-tuning of Meta's NLLB-200 models for German--English translation.VocabulARy 2.0: A Generative AR System Enabling Personalised 3D Mnemonics for Vocabulary Learning in Context
Mnemonics support vocabulary learning by linking unfamiliar words to familiar concepts through memorable verbal and visual associations.Decodability Is Not Validity: Evaluating Nuisance Sensitivity in Language Model Concept Probes
Two concept probes can be equally accurate at predicting a concept from a language model's hidden states while their scores contain different mixtures of the target concept and a correlated nuisance…A Sequential Framework for Urban Drone Delivery: Network Design, Vehicle Sizing, and Energy and Cost Assessment
A sequential engineering framework is presented for urban drone delivery, linking hub location, route planning, mission-specific vehicle sizing, and energy and operating cost assessment.Self-Supervised Diffusion Models for Handwritten Signature Verification via Ruin Reconstruction
Handwritten signature verification (HSV) is a critical biometric technique in legal and forensic authentication, whose efficacy hinges on the discriminability of signature representations.MV-Sign: Multi-View 3D Motion Integration and Enhanced Text-to-Motion Conditioning for Sign Language Production
Sign language production (SLP) aims to generate appropriate sign language motion from spoken language text.Different Corpora, Different Skills? A Paired Study of Small Language Models
Small language models are often trained under tight data budgets, where the choice of pretraining corpus may matter as much as model size or training recipe.CMDiff: Left Atrial Scar Segmentation from 3D LGE MRI Using Conditional Mask Diffusion Model: A Feasibility Study
Late gadolinium enhancement (LGE) cardiac MRI enables non-invasive assessment of left atrial (LA) scar, an imaging marker associated with atrial fibrillation ablation outcome.Newton Steps are Faster for Linear Complementarity Problems
Linear Complementarity Problems (LCPs) with sufficient matrices form a well-studied class of problems, dating back from the foundational works of Cottle and Dantzig (1968).Axis-LoRA: Probing and Adapting Embedding Models for Personal-Memory Retrieval
As LLMs are increasingly asked questions about a user's personal experiences, retrieval must distinguish memories by time, place, person, and event.
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