AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchGraphToolbox: A Configurable Python Framework for Graph Neural Network Forecasting
arXiv:2609.24609v1 Announce Type: cross Abstract: Electricity forecasting often involves spatially related signals observed over regions, substations, and feeders, and Graph Neural Networks (GNNs) provide a natural way t…
- arXiv cs.AIresearchFedMust: Semi-supervised Multi-task Student-Teacher Federated Learning for Multi-organ CT Segmentation
arXiv:2609.24627v1 Announce Type: cross Abstract: Multi-organ segmentation using deep learning requires large amounts of annotated patient data; however, institutions often lack sufficiently large and diverse annotated d…
- arXiv cs.AIresearchAugmented Hypothesis Testing with Persona-Based LLM Simulations
arXiv:2609.24629v1 Announce Type: cross Abstract: A/B testing requires large sample sizes, long timelines, and significant costs. When auxiliary predictions of experimental outcomes are available from machine learning mo…
- arXiv cs.AIagentsFrom Semantic Decisions to Feasible Trajectories: Self-Evolving LLM-Guided Optimal Control for Narrow-Space Parking
arXiv:2609.24631v2 Announce Type: replace-cross Abstract: Autonomous parking in nonconvex and narrow environments remains challenging. Although optimal-control methods can explicitly enforce vehicle dynamics and collisio…
- arXiv cs.AIresearchAnnie, Are You Okay? How Style- and Context-Based Personalization Shape AI-Assisted Decision-Making
arXiv:2609.24644v1 Announce Type: cross Abstract: As people turn to generative AI for financial advice, these systems can personalize how they communicate and what they say. Whether these forms of personalization shape d…
- arXiv cs.AIresearchiSDFT: Information-Proximal Self-Distillation for Continual Learning in LLMs
arXiv:2609.24646v2 Announce Type: replace-cross Abstract: On-policy self-distillation fine-tuning (SDFT) learns new skills from demonstrations while reducing forgetting, but it always distils toward the full demonstratio…
- arXiv cs.AIresearchCorrective Forcing: Unified Post-Training for Diffusions and Flows in Generative Speech Enhancement
arXiv:2609.24651v1 Announce Type: cross Abstract: Diffusion and flow models, as promising generative paradigms for speech enhancement, face a training--inference mismatch: training uses analytical path states, whereas in…
- arXiv cs.AIresearchTouch2Robot: Robot Touch in the Human Demonstration Loop
arXiv:2609.24660v2 Announce Type: replace-cross Abstract: Human demonstrations offer a scalable way to collect manipulation data, but their contacts may be unstable or infeasible when transferred to a robot hand. Collect…
- arXiv cs.AIagentsTrust in Edge-Enabled IoT Security: Features, Challenges and Research Directions
arXiv:2609.24669v1 Announce Type: cross Abstract: Providing autonomous intelligence, pervasive connectivity and usability to human life and industry has led to the emergence of the Internet of Things (IoT). To support ti…
- arXiv cs.AIresearchUnderstanding Hyperspherical Geometry of ECAPA-TDNN Embedding and Its Impact on Zero-Shot Voice Conversion
arXiv:2609.24688v1 Announce Type: cross Abstract: Angular-margin speaker encoders are widely used in voice conversion, yet the geometry of their classifier prototypes remains poorly understood. We analyze ECAPA-TDNN clas…
- arXiv cs.AIresearchWhat Makes a Good Medical Image Tokenizer? Rethinking Reconstruction and Generation in Medical Image Tokenization
arXiv:2609.24691v1 Announce Type: cross Abstract: Latent diffusion models now dominate medical image generation, and every such pipeline rests on a \emph{tokenizer} that compresses images into the latent codes for image…
- arXiv cs.AIresearchAdapting Tree-Structured Speculative Decoding to DeepSeek-V4 for Efficient Inference
arXiv:2609.24698v1 Announce Type: cross Abstract: Repeated execution of the target model during autoregressive decoding is a major source of LLM inference latency. Unlike linear speculation, which follows a single candid…
- arXiv cs.AIresearch"MeBo Leaves a Piece of You Behind": Designing a Relational Voice-Based Memory Companion for Older Adults
arXiv:2609.24706v1 Announce Type: cross Abstract: Autobiographical remembering supports identity, well-being, and social connection in later life, yet voice-based memory technologies largely rely on isolated prompts. We…
- arXiv cs.AIresearchReasoning Topology Matters: A Controlled Study of LLM-Based Cybersecurity Analysis
arXiv:2609.24710v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used in cybersecurity, where accurate analysis often requires multi-step and context-dependent reasoning over complex and he…
- arXiv cs.AIresearchA digital-twin framework for forecasting treatment-day imaging with contour uncertainty in adaptive proton radiotherapy
arXiv:2609.24725v1 Announce Type: cross Abstract: Head-and-neck anatomy changes over a six-to-seven-week proton course, and the anatomy of a later week cannot be imaged when the plan is made. We present a digital-twin fr…
- arXiv cs.AIagentsLLM-based Conversational AI Knowledge Assistant for MyBuddy Humanoid Robot
arXiv:2609.24742v1 Announce Type: cross Abstract: Humanoid robots are increasingly being popular and developed for human-centered applications, yet their ability to provide intelligent conversations and natural interacti…
- arXiv cs.AIresearchEnhancing Transformer Representations of Symbolic ODE Expressions
arXiv:2609.24746v1 Announce Type: cross Abstract: Existing approaches to solving differential equations, such as symbolic regression, physics informed neural networks, and neural operators, typically focus on numerical a…
- arXiv cs.AIresearchNPU Accelerator: Quantized Real-Time Vehicle Detection on PYNQ-Z1 Using FINN
arXiv:2609.24757v1 Announce Type: cross Abstract: This paper presents the design, optimization, implementation, and on-board validation of a neural processing unit (NPU) accelerator for real-time vehicle detection on the…
- arXiv cs.AIagentsPrismGPT: Proxy-Guided Learning for Region-Aware Photo Editing with Self-Synthesized Reasoning
arXiv:2609.24768v1 Announce Type: cross Abstract: Professional photo finishing relies on both global adjustments and region-specific local edits guided by semantic masks, yet current automated methods handle this workflo…
- arXiv cs.AIresearchWhen Quantization Preserves Accuracy but Not Evidence: Explanation-Aware Post-Training Quantization for Medical LLMs
arXiv:2609.24799v1 Announce Type: cross Abstract: Post-training quantization (PTQ) enables efficient deployment of large language models, and PTQ methods are usually optimized and evaluated with generic reconstruction, p…
- arXiv cs.AIresearchDecoding Guardrails: XAI-Guided Perturbation Analysis of Prompt Injection Detection
arXiv:2609.24801v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed in production systems, raising concerns about their exposure to adversarial manipulation through prompt injection a…
- arXiv cs.AIresearchMobile Imaging Solutions for Medical Diagnosis: Trends and Applications
arXiv:2609.24814v2 Announce Type: replace-cross Abstract: Advances in processing power, camera technologies, and mobile image analysis have made smartphones and other mobile devices, such as laptops, increasingly suitabl…
- arXiv cs.AIresearchUranus: Building the Next-Generation Simulation Infrastructure for Embodied AI
arXiv:2609.24815v3 Announce Type: replace-cross Abstract: Scalable simulation is essential for robot data generation, policy training, evaluation, and safe iteration, yet real-world interaction is costly and conventional…
- arXiv cs.AIresearchSPECTRA: Adaptive Execution of Speculative Decoding on a Runtime-Reconfigurable Tiled Architecture
arXiv:2609.24847v1 Announce Type: cross Abstract: LLM inference on edge devices is constrained by computational and memory resources, making efficient autoregressive decoding challenging. Speculative decoding alleviates…
- arXiv cs.AIagentsSmall-world Networks of Agents Brainstorm AI Risks to Support Ideation
arXiv:2609.24859v1 Announce Type: cross Abstract: The ideation phase of participatory AI risk assessment often starts with a blank slate or a limited list of predefined risks, making it difficult to surface indirect or s…
- arXiv cs.AIagentsWhen Tomorrow Becomes Today: Self-Evolving Policies for Agentic Time-Series Forecasting
arXiv:2609.24862v1 Announce Type: cross Abstract: Agentic time series forecasting concerns systems whose underlying mechanisms evolve, making the relative effectiveness of numerical models, reasoning strategies, and inte…
- arXiv cs.AIresearchSE(3) Neural Potential Fields for 6-DoF Trajectory Planning Directly from Images Without Explicit 3D Reconstruction
arXiv:2609.24864v1 Announce Type: cross Abstract: Reaching a 6-DoF grasp pose in clutter requires a collision-free trajectory, conventionally obtained by reconstructing the scene in 3D and planning inside that reconstruc…
- arXiv cs.AIagentsOSWorld-Pro: Process-based Evaluation for Computer Use Agents
arXiv:2609.24890v1 Announce Type: cross Abstract: Evaluation of Computer-Use Agents (CUAs) is often limited to the final deliverables they create (at the end of hundreds of steps) and assessed with functional verifiers,…
- arXiv cs.AIresearchVisuomotor Robotic Pruning in Planar Orchards Using Hybrid Reinforcement Learning
arXiv:2609.24906v1 Announce Type: cross Abstract: Dormant tree pruning is labor-intensive yet essential for maintaining modern high-productivity fruit orchards. In this work, we focus on pruning of modern planar tree tra…
- arXiv cs.AIresearchExactness at Inference: A Representational Criterion for Out-of-Distribution Generalization
arXiv:2609.24942v1 Announce Type: cross Abstract: A model generalizes outside its training distribution only when it computes a representation structurally equivalent to the generating mechanism, not an approximation fit…
- arXiv cs.AIresearchGenerative Tutorial: Towards Live Contextualized Visual Instructions for Physical Tasks
arXiv:2609.24955v1 Announce Type: cross Abstract: Visual instructions for physical tasks are typically authored in one context and followed in another, requiring users to translate demonstrated tools, materials, and spat…
- arXiv cs.AIagentsJev for Scientific Decisions: Evaluating Semantic Choices and Their Consequences
arXiv:2609.24965v4 Announce Type: replace-cross Abstract: Scientific workflows often require choosing among known relations before a deterministic calculation can proceed. Whether observations share a culture, treatment…
- arXiv cs.AIagentsRare Event Estimation via Iterative Unalignment
arXiv:2609.24969v1 Announce Type: cross Abstract: As agents are deployed with increased autonomy, even extremely rare events along their stochastic output trajectories can occur and prove catastrophic. Safe deployment th…
- arXiv cs.AIagentsDolphinBench: Mapping the Pareto Frontier of Agent Memory
arXiv:2609.24971v2 Announce Type: replace-cross Abstract: Agents today often take real-world actions that depend on long-term memory and context recall over time. However, most current memory benchmarks are built for a c…
- arXiv cs.AIagentsRRSI: Regularized Recursive Self-Improvement of Agent Harnesses
arXiv:2609.24972v3 Announce Type: replace-cross Abstract: An LLM agent's capability is largely magnified by its harness, namely the prompts, control flow, tooling, memory, and context management surrounding the frozen ba…
- arXiv cs.AIresearchDexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulation
arXiv:2609.24976v1 Announce Type: cross Abstract: Dexterous manipulation depends on contact dynamics that are often only partially observable from vision. Recent World-Action Models (WAMs) couple predictive video world m…
- arXiv cs.AIresearchWorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory
arXiv:2609.24984v1 Announce Type: cross Abstract: Video world models enable interactive exploration of dynamic environments, yet struggle to respect prior observations over long horizons and across viewpoints. We present…
- arXiv cs.AIresearchGameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay
arXiv:2609.25001v2 Announce Type: replace-cross Abstract: Modern video games provide a measurable testbed for AI models, combining abilities of visual understanding, instruction decomposition, goal planning, and precise…
- arXiv cs.AIresearchSubgoal Search For Complex Reasoning Tasks
arXiv:2108.11204v4 Announce Type: replace Abstract: Humans excel in solving complex reasoning tasks through a mental process of moving from one idea to a related one. Inspired by this, we propose Subgoal Search (kSubS) m…
- arXiv cs.AIagentsControlling risks of AI in chemical science with agents
arXiv:2312.06632v2 Announce Type: replace Abstract: Artificial intelligence is rapidly advancing scientific discovery, but this progress carries risks of misuse, such as the creation of harmful substances, or circumventi…
- arXiv cs.AIresearchRL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner
arXiv:2410.23912v3 Announce Type: replace Abstract: The reasoning abilities of large language models (LLMs) have improved with chain-of-thought (CoT) prompting, allowing models to solve complex tasks stepwise. However, t…
- arXiv cs.AIresearchFairness at Every Intersection: Uncovering and Mitigating Intersectional Biases in Multimodal Clinical Predictions
arXiv:2412.00606v3 Announce Type: replace Abstract: Biases in automated clinical decision-making using Electronic Healthcare Records (EHR) impose significant disparities in patient care and treatment outcomes. Convention…
- arXiv cs.AIagentsDivide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning
arXiv:2505.13994v3 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) systems empower large language models (LLMs) with external knowledge, yet struggle with efficiency-accuracy trade-offs when scaling…
- arXiv cs.AIresearchMemory-Free Continual Learning with Null Space Adaptation for Zero-Shot Vision-Language Models
arXiv:2510.21175v2 Announce Type: replace Abstract: Pre-trained vision-language models (VLMs), such as CLIP, have demonstrated remarkable zero-shot generalization, enabling deployment in a wide range of real-world tasks…
- arXiv cs.AIagentsPADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork
arXiv:2511.07260v3 Announce Type: replace Abstract: Ad hoc teamwork (AHT) requires agents to collaborate with previously unseen teammates, which is crucial for many real-world applications. The core challenge of AHT is t…
- arXiv cs.AIresearchChemVTS-Bench: Evaluating Visual-Textual-Symbolic Reasoning of Multimodal Large Language Models in Chemistry
arXiv:2511.17909v2 Announce Type: replace Abstract: Chemical reasoning inherently integrates visual, textual, and symbolic modalities, yet existing benchmarks rarely capture this complexity, often relying on simple image…
- arXiv cs.AIagentsAgentic Explainable Artificial Intelligence (Agentic XAI) Approach To Explore Better Explanation: A Case Study in Decision Support for Rice Cultivation in Japan
arXiv:2512.21066v4 Announce Type: replace Abstract: Explainable artificial intelligence (XAI) reveals how explanatory variables relate to a response variable, yet communicating XAI outputs to laypersons remains difficult…
- arXiv cs.AIresearchCARD: Cluster-level Adaptation with Reward-guided Decoding for Personalized Text Generation
arXiv:2601.06352v3 Announce Type: replace Abstract: Adapting large language models to individual users remains challenging due to the tension between fine-grained personalization and scalable deployment. We present CARD,…
- arXiv cs.AIresearchDo Implicit Personalization and Explicit Styles Conflict? PsPLUG: A Lightweight Plug-in for Balancing Personalization and Style in Customized LLMs
arXiv:2601.06362v3 Announce Type: replace Abstract: Personalized large language models are often expected to follow explicit style instructions, yet we find that such instructions can undermine the user-specific characte…
- arXiv cs.AIagentsA Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents
arXiv:2601.12538v2 Announce Type: replace Abstract: Reasoning is a fundamental cognitive process underlying inference, problem-solving, and decision-making. While large language models (LLMs) demonstrate strong reasoning…