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Artificial Intelligence
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The newest 5,000 papers, from 11 October 2026 to 5 November 2026: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 136
Value-Rectified Distillation for Flow-based Offline Reinforcement Learning
We aim to address the problem of Out-of-Distribution (OOD) Mode Averaging, a critical problem that emerges when distilling Flow Matching (FM) based behavior policies in offline Reinforcement…ReSeg: Retraining-free segmentation of abdominal organs via generalizable semantic representation learning
Abdominal organ segmentation is essential in modern medical applications.Context-Augmented, Session-Calibrated Blood Pressure Tracking from Photoplethysmography
To distinguish the contributions of acquisition context and photoplethysmography (PPG) to session-calibrated blood pressure (BP) tracking.Approach.Same Answer, Different Reasons: Trace-Level Divergence in Multilingual Large Language Models
Multilingual large language models are increasingly deployed in settings where visible reasoning traces support verification, education, and safety auditing, yet standard evaluations typically…Agentic Music Post-Production
We introduce MixAgent, an agentic pipeline for music post-production that follows the workflow of audio engineers to build interpretable and editable mixing plans guided by a reference song.UNIVERS: Learning UNIversal Voxel-wise Embedding via Randomized Synthesis for generalizable one-shot landmark localization
One-shot landmark localization in volume scans with varying fields of view (FOVs) is challenging.Dual-Channel Contrastive Encoding of Sperm Whale Coda
Sperm whales (Physeter macrocephalus) communicate through short click sequences called codas, whose structure includes the rhythmic pattern of inter-click intervals (ICI) and the spectral…GRAM: Group-wise Rank-Aware Model Merging via Subspace Alignment
Merging different models into a single model is highly desirable for multi-task deployment, particularly in regulated domains like healthcare.An Eco-Friendly Tourism Trip Planner Driven by Z-Number Uncertainty: Evidence from Baku, Dubai, Abu Dhabi, Tashkent, and Istanbul
Deployed tourism trip planners ingest travel times and ratings as exact numbers, although routing services return travel times that vary with the hour of departure and a platform rating may rest on…Recursive Self-Improvement on a Budget: Scoring Code Edits Before They Run
A coding agent that rewrites its own scaffold has to choose which proposed edit to expand before that edit has been evaluated, and the search then has to return one agent.StochIKM: Automated High-Fidelity Reconstruction of Individual Patient Data from Published Kaplan-Meier Curves
Individual patient data are the gold standard for secondary analysis of time-to-event evidence, but they are rarely released, and reconstruction from a published Kaplan-Meier figure could help.Mitigating Reward Hacking in Realistic Scenarios Through Representation Engineering
Reward hacking is a major problem in current production machine learning systems, resulting in costly and dangerous failures.NormTune: Norm-Guided Parameter-Efficient Fine-Tuning for Reasoning-Intensive Tasks
Full fine-tuning has achieved remarkable success on reasoning-intensive tasks, but it often requires substantial GPU resource consumption.LaVGuard: Selective Decoding for Contextual Value Drift
A content-safe response can still promote priorities that conflict with its task: an assistant may demand compliance when asked to preserve autonomy.GRAFT: Restoring the Missing Sampling Interface in Continuous Diffusion Language Models
Continuous diffusion language models generate a whole sequence in parallel, never drawing a single word at any intermediate step; only the final step turns embeddings into text.Steering Black-Box Large Language Model Agents with Pitfall Anticipation World Model
Frontier black-box Large Language Model (LLM) agents are proficient at long-horizon reasoning and precise action generation.From AI-Free Gates to AI-First Work: How Engineering Students in India Navigate University Education and Career Preparation Without AI Guidelines
Engineering graduates in India enter a technology sector that is being reshaped by generative AI, yet the route into that sector runs through examinations and campus placement screens that largely…ORSMT: Unleashing the Potential of Satisfiability Modulo Theories for Semantic Verification and Repair in LLM-Based Optimization
Large language models increasingly automate optimization modeling from natural language problems, producing written mathematics, solver code and a returned report.Where Does Timbre Hide? Localizing Speaker Information in Speech Signals
Timbre similarity is a key evaluation target for generative speech systems, including voice conversion, speaker-cloning text-to-speech, and zero-shot speech models.From Augmentation to Synthetic Evidence: Evaluating Generated Chest Radiographs at Dataset Intake
A generated chest radiograph can be useful as declared augmentation, but the same image becomes unsupported evidence when submitted as the record of a real examination.