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Artificial Intelligence
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The newest 5,000 papers, from 12 October 2026 to 6 November 2026: 4,992 arXiv preprints and 8 OpenAlex records.
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Newest papers, page 248
Beyond ICD Codes: Semantic IDs for Generative Medical Coding
Generative approaches to automatic International Classification of Diseases (ICD) coding use large language models (LLMs) to predict ICD codes from clinical documents.DTDD: Divergence-Triggered Dynamic Distillation for Reliable On-Policy Supervision
On-policy distillation (OPD) provides dense token-level supervision on student rollouts, but this supervision can become unreliable when the student and teacher diverge, either because of a large…SituHOI: Scalable Capture of Scene-Situated Full-Body Human-Object Interaction
Modeling human-object interaction (HOI) in real environments requires jointly representing whole-body motion, manipulated objects, and scene geometry, yet existing datasets trade off scalable…Tracing Knowledge Lineage for Federated Unlearning under Mutual Distillation
An edge server and nearby devices can train language models of different sizes together by mutual distillation.Computational Reflective Equilibrium for Agentic AI: A Rawlsian Alignment Scaffold for Governance
The rapid deployment of agentic AI has introduced complex challenges for the ethics and governance of AI systems.When Does Compensating Inherited Quantization Error Help? Mean-Square Guarantees for Layer-Wise Quantization and Their Limits
Layer-wise post-training quantization methods let each layer compensate for the quantization error inherited from earlier layers.Of Errors and Echoes: Responsibility-Aware Credit Assignment for Tool-Use Agents
Reinforcement learning improves tool-use agents, yet fine-grained credit assignment remains challenging even with step-level feedback.OT-FlowRec: Optimal Transport-Guided Multi-Bridge Flow for Multimodal Sequential Recommendation
E-commerce user preferences evolve dynamically within sessions, exhibiting concurrent and multi-centric interest distributions.When Agents Talk, Secrets Travel: Topology-Driven Leakage and Recipient-Conditioned Sanitization in Multi-Agent LLM Systems
Multi-agent LLM systems (MALS) introduce a privacy-leakage problem that conventional sensitivity-based defenses miss, since information disclosed to one authorized agent can propagate through…Autoregressive Decoding as a Martingale: Characterizing the Stochastic Dynamics of LLM Generation
Large language models (LLMs) have achieved remarkable success across a wide range of language tasks.AI Representations of Mental Health Stigma: Quantifying the Gap Between AI Estimations and Human Perceptions Across Gender Groups Using GPT-Based LLMs
The increasing use of artificial intelligence (AI) in mental health applications raises concerns about its potential to internalize and perpetuate societal biases.Adaptive Compression and Targeted Perturbation: A Unified Framework for Generalized Audio Deepfake Detection
Existing audio deepfake detection (ADD) methods frequently exhibit limited generalization, as fixed bottleneck architectures fail to adapt to the heterogeneous information densities inherent in…Cross-Protocol Personality Assessment with LLMs: Aligning Behavioral Evidence with Human Ratings
Personality assessment from asynchronous video interviews (AVIs) plays a crucial role in recruitment by enabling standardized and behaviorally grounded evaluation for job applicants.When Agent Evaluation Becomes Unreliable: An Empirical Study of Oracle Failures and Configuration-Dependent Measurement in an LLM Agent Benchmark
Agent evaluation harnesses are software systems that run test suites, generate inputs, and decide outcomes with test oracles.Understanding and Reducing Misalignment in Persuasion Optimization
Frontier models are now trained for complex multi-agent tasks, from running a company to engaging in negotiations.Dream2Discern: Learning from Hard Latent Variants for Runtime Failure Prediction in Multi-Agent Systems
Reliable deployment of LLM-based multi-agent systems calls for runtime auditors that predict terminal outcomes from observed execution prefixes.Beyond Single-Pathogen Forecasts: Predicting Shared Respiratory Hospital Burden from Influenza, COVID-19, and RSV
Co-circulating influenza, COVID-19, and respiratory syncytial virus (RSV) create a shared hospital-admission burden, because beds, staff, testing capacity, and respiratory support are allocated to…Heterogeneous Agentic Coevolution
Recent advances in self-improving LLM agents have demonstrated the potential of AI systems that drive their own intelligence.The Sharp Directions Are Against You: Curvature Analysis of Activation Steering
Activation steering adds a vector to a language model's internal representations at inference time.Where Polanyi Meets Galois: Tacit Knowing as an Algebro-Deterministic Operation, Toward Re-rooting AI-Generated Science
We argue that tacit knowing is better modelled as an operating regime of one memory substrate than as a kind of content.