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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 42
Presentation Sensitivity in Typed Decision Models for Subjective Text Evaluation
Typed decision models offer structured choices, scores, and probabilities for low-cost automated evaluation.Partially Dynamic Algorithms for Single-Source Temporal Paths
We present efficient partially dynamic algorithms for maintaining earliest arrival times from a fixed source in temporal digraphs with $n$ vertices.MA-Mesh: Resilient Multi-Agent Collaboration via Role-based Self-Healing
Effective collaboration in multi-agent systems requires mechanisms for coordination and adaptability in dynamic and uncertain environments.A Cracked Mirror: How People Perceive Gender Performance by Large Language Models
How do large language models (LLMs) perform gender under zero-shot prompting, and how do people interpret those performances in conversation?KolTa: A Physics-Informed Active Learning Framework for Formulation Discovery with Limited Data
Finding high-performing formulations is difficult when few have been measured and experimental budgets are limited.GIST: Gibbs-Targeted Hierarchical Data Selection for Offline RLVR
Offline reinforcement learning with verifiable rewards (RLVR) trains on a fixed pool of sampled responses and typically supervises every token of every response, although responses and tokens are…Where Should a KV-Cache Repair Budget Go? Distractor Structure and Contextual Compatibility in Non-Prefix Reuse
Non-prefix KV-cache reuse encodes retrieved chunks independently and concatenates their caches.Interpretable Text Embeddings Based on Hierarchical Questions
QA-based text embeddings represent texts as vectors consisting of 1/0 answers to yes/no questions.Ruby-OPD: Enhancing Pronunciation Controllability and Accuracy for Flow-Matching Text-to-Speech via On-Policy Distillation
Achieving both high pronunciation accuracy and fine-grained controllability remains a central challenge in Japanese text-to-speech (TTS), as Japanese is an unsegmented language mixing logographic…Zero-Shot Coordination among LLM Agents
We study zero-shot coordination (ZSC), where independently developed agents must coordinate at test time.Polynomial $(2α+\varepsilon)$- and Quadratic $4$-Approximation Algorithms for the Biased Traveling Salesman Problem in Bipartitioned Networks
The traveling salesman problem (TSP) is one of the fundamental problems in combinatorial optimization that asks for a minimum-cost Hamiltonian cycle in a complete undirected graph with $N$ vertices.A Bag of Tricks for Defending Deep Learning-based Face Recognition Pipelines against Backdoor Attacks
The protection of mature, multi-stage Face Recognition Systems is crucial to system providers.Twists and Turns: A Graph-Based Benchmark and Framework for Long-Term Memory in Exploration Tasks
Long-term problem-solving processes, such as scientific research and software development, proceed along an evolving trial-and-error trajectory toward a central goal.Entropogram-guided Visual Realignment Decoding: Capturing the Rhythm of Multimodal Reasoning
Multimodal large language models (MLLMs) have demonstrated remarkable progress on cross-modal reasoning tasks, yet they continue to suffer from hallucinations in long-chain reasoning processes.Mind Control of LLMs via Closed-Loop Stimulation: Out-of-Distribution Robustness
Brains and large language models need not be considered equivalent systems to reveal an interpretable commonality: both exhibit high-dimensional, nonlinear dynamics whose behavior can only be…Unaligned Image Guided Denoising via Cross-modal Conditional Flow Matching
This work presents UGD-FM, a novel unaligned image guided denoising framework based on cross-modal conditional flow matching.D3D: Decoupled Diffusion Drafting for Asynchronous Speculative Decoding
Target-conditioned diffusion drafters predict candidate tokens in parallel, yet each new block must wait for updated target-model hidden states.Partially Interpretable Decision Trees
Partially interpretable models extend simple interpretable models with the option to defer complicated inputs to an accurate but uninterpretable black-box model.TOP: Transmission-Oriented Remote Sensing Pansharpening
Pansharpening has been extensively studied as a fundamental image fusion task in remote sensing.PARGAR: Pilot-Aware Graph Attention for Sparse-Pilot Neural OFDM Receivers
Reliable channel estimation and symbol detection in 5G New Radio (NR), as well as emerging 6G radio systems, rely on demodulation reference signals (DMRS).
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