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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 31
Information-Matched Auditing of Conversational Emotion-Shift Forecasting: A Leakage-Safe Evaluation Protocol
Comparisons in conversational emotion-shift forecasting are easily distorted when a learned model receives rich features but its transition baseline is given a noisy or unavailable current-emotion…Selective, Risk-Controlled Emotion Forecasting in Conversation: From a Persistence Barrier to Departure Detection with Conformal Guarantees
Forecasting emotion in conversation is increasingly framed as predicting the next emotional state's value.FWIK: Multi-Waypoint IK Selection via Lookahead Graph Search
An ordered sequence of end-effector poses can give a redundant robot arm multiple valid joint configurations at each waypoint.Weaver: Weaving Preference Evidence through Incremental Reasoning for Personalized Retrieval-Augmented Generation
Personalized retrieval-augmented generation requires extracting and applying user preferences from extended interaction histories.Retrieval Supersedes Scale: Efficient Log Level Prediction via Multiplex Socio-Technical Context
Developers insert logging statements in source code to record its execution, and the resulting logs are essential for detecting and troubleshooting system anomalies.EchoKV: Self-Corrective KV Cache Eviction via Iterative Query Feedback
KV cache eviction is not merely a token-ranking problem: the workspace retained for generating eviction queries also determines the quality of those queries.CHARM+: Cross-Hardware Attention with Re-Merge Multistream Mechanism
As sequence lengths continue to grow, distributed attention based on sequence parallel (e.g., Ring-Attention) has become a mainstream solution for large language models (LLMs).Does Your Trial Simulator Know What the Drug Does? An Intervention-Blind Test of Interventional Validity on 7,207 Registered Trials
Patient world models are increasingly proposed as simulators of clinical trials, and recent surveys rank their capabilities on a ladder from temporal prediction to counterfactual rollouts.Optimal Re-Ranking Depth
Second-stage neural rankers are commonly applied with a fixed re-ranking depth, assuming that retrieval effectiveness saturates as depth increases.Do Saliency Maps Fail Dense Breasts? A Chance-Normalized, Confounder-Aware Audit of Explanation Fairness in Mammography
Saliency maps, offered as evidence that mammography classifiers use the cancer, are untested in dense breasts, which can hide cancers.Autonomous agents for electricity-system planning
Planning electricity systems requires repeated decisions that connect regional resources, investment, operation and network constraints.Improved approximation algorithms for capacitated cluster editing
We study the minimum-disagreement cluster editing problem that, from a complete edge-signed graph, where a positive edge represents two vertices agreeing to each other while a negative represents a…DecoupAttn: Decoupled Sparse Attention for Training-Free Acceleration of Video Diffusion
Sparse attention accelerates few-step video diffusion transformers by computing a few key blocks exactly and compensating for the rest.Autonomous ETL Pipelines for Salesforce M&A Consolidation: A Reference Framework, Jitterbit Mapping, and Reproducible Simulation Study
Merging companies that each run Salesforce must consolidate their customer data into a single organization while both source systems remain in use.Routes of Reasoning: Reading and Reshaping Test-Time Compute in MoE Models
Reasoning models allocate test-time compute across distinct behaviors such as planning, deriving, and verifying.Faster Isomorphism for Groups of Class 2
The finite-group isomorphism problem asks whether two groups, given by their Cayley tables, are isomorphic.3D Banff Glomerulitis Scoring for Kidney Transplant Pathology: Feasibility Study for Volumetric Quantification
Quantifying glomerular inflammation in kidney-transplant biopsies is traditionally performed on single whole-slide sections using the Banff "most-severe section" rule, despite the inherently…Split-KV: Efficient Context Parallelism for Training Diffusion Drafters
Diffusion drafters accelerate speculative decoding by denoising multiple draft tokens in parallel.Modality-Aware Expert Pruning for MoE-Based Multimodal Large Language Models
Mixture-of-Experts (MoE) enables multimodal large language models (MLLMs) to scale capacity efficiently, but expert parameters dominate memory even though only a few experts are activated per token…Diversity-Aware Experience Replay via Statistical Leverage Scores
Off-policy deep reinforcement learning trains on random samples from a replay buffer of past experience.
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