AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchCo-adaptive Rule Routing and Constraining for Structured Knowledge Retrieval
arXiv:2610.14465v2 Announce Type: replace-cross Abstract: Structured knowledge retrieval acquires task-relevant evidence from structured knowledge sources for downstream tasks. Existing methods rely on unconstrained retr…
- arXiv cs.AIresearchDiffusion-Based Auctions for Multi-Winner Banner Ads
arXiv:2610.14473v1 Announce Type: cross Abstract: We propose a new framework for banner ad auctions, leveraging diffusion models to allow for multiple bidders to co-win a single banner ad opportunity, and in particular i…
- arXiv cs.AIresearchRES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation
arXiv:2610.14474v1 Announce Type: cross Abstract: Medication recommendations seek to deliver personalized drug combinations based on patients' clinical information, where ensuring transparent decision-making and personal…
- arXiv cs.AIresearchScale, Drivers, and Limits of Representational Alignment Across Large Language Models
arXiv:2610.14476v1 Announce Type: cross Abstract: Comparing large language models can reveal shared representational structure and systematic differences between them. However, aggregate similarity measures can obscure h…
- arXiv cs.AIagentsWhat Counts as the Same Task? Executable Contracts for Robustness Evaluation of Tool-Using Agents
arXiv:2610.14477v1 Announce Type: cross Abstract: Robustness tests for tool-using agents often change the agent's environment, for example by hiding a hostile note in an invoice, and then judge the agent by what it does.…
- arXiv cs.AIresearchAphaVoice: Text-to-Speech Model for Aphasia Patient Simulation
arXiv:2610.14479v1 Announce Type: cross Abstract: While language therapy is the primary treatment for post-stroke aphasia, limited clinical resources often restrict patient access to proper care. Addressing this gap requ…
- arXiv cs.AIresearchRethinking Activation Functions: Reducing Bias Can Improve Learning
arXiv:2610.14500v1 Announce Type: cross Abstract: Many widely used activation functions, including ReLU, GELU, Swish, and Sigmoid, produce predominantly positive outputs, resulting in a nonzero post-activation mean that…
- arXiv cs.AIresearchCompositional Concepts Erasing: Disentangling Object-Style via Domain Manifold Unlearning
arXiv:2610.14514v1 Announce Type: cross Abstract: Diffusion models pose significant risks regarding the generation of illicit content and copyright violations. This has catalyzed the development of machine unlearning to…
- arXiv cs.AIresearchWho to Trust in Multi-Robot Systems: Joint Robot and Object Hypothesis Trust Inference via Neural-Symbolic Cross-Validation
arXiv:2610.14530v1 Announce Type: cross Abstract: Multi-robot systems (MRS) offer significant advantages over single-robot platforms by enabling information sharing and coordination for different tasks in complex environ…
- arXiv cs.AIresearchGG-Nav: Goal-oriented Grounding Chain-of-Thought Elicits Reasoning in Navigation Foundation Models
arXiv:2610.14541v1 Announce Type: cross Abstract: Emerging strong Vision-Language Models (VLMs) have advanced navigation foundation models. However, these models still have unsatisfactory performance on goal-oriented nav…
- arXiv cs.AIagentsA Self-Defining Operator for Distributed Applications
arXiv:2610.14547v2 Announce Type: replace-cross Abstract: To operate distributed applications with high availability, operators must rapidly diagnose and mitigate any incident. LLM-based agents can help, but unlike exper…
- arXiv cs.AIagentsActive Neural Matter: A Finite-Window Response Framework for Physical Systems and Distributed AI Workflows
arXiv:2610.14549v1 Announce Type: cross Abstract: Physical systems and distributed AI workflows can retain past information, receive delayed feedback and combine conflicting signals. These features pose a common modeling…
- arXiv cs.AIresearchLLM-based User-Product Relevance Evaluation for Dynamic Product Advertising
arXiv:2610.14550v1 Announce Type: cross Abstract: Dynamic Product Advertising (DPA) retrieval systems are a core component of modern e-commerce advertising; however, their evaluation remains challenging. Conventional off…
- arXiv cs.AIresearchLASER: Defeasible Certificate Search for Long-Range Protocol Dependencies
arXiv:2610.14552v1 Announce Type: cross Abstract: Protocol specifications rarely justify executable behavior in one place: a transition may inherit its source state from a remote control block, name its events only by nu…
- arXiv cs.AIresearchLimitations on Autoregressive Token Generation via Sequential Sampling
arXiv:2610.14615v2 Announce Type: replace-cross Abstract: We study autoregressive token generation through the notion of sequential samplers: A circuit that samples the next symbol only given the previous ones and possib…
- arXiv cs.AIresearchEarthAlign: Learning Language-Aligned Representations of Earth System Data
arXiv:2610.14624v1 Announce Type: cross Abstract: Interpreting Earth system conditions is central to understanding environmental risks and informing decisions across weather- and climate-sensitive sectors. Existing multi…
- arXiv cs.AIresearchProspective Forcing: Learning to Look Ahead for Autoregressive Long Video Diffusion
arXiv:2610.14654v1 Announce Type: cross Abstract: Autoregressive video generators synthesize long videos through chunk-wise rollouts, yet they are typically trained to predict only the immediate future. This limited pred…
- arXiv cs.AIresearchDexCast: Learning Real-World Dexterous Control from Human Videos
arXiv:2610.14691v2 Announce Type: replace-cross Abstract: Recent advances in 3D hand-object interaction (HOI) perception have opened new opportunities for learning dexterous robotic skills from human videos. However, exi…
- arXiv cs.AIresearchAlignAudio: A Unified Dual-Alignment Framework for Noise-Robust Speech-Conditioned Generation
arXiv:2610.14697v1 Announce Type: cross Abstract: Speech-conditioned generation maps speech signals to target audio outputs. Prior end-to-end speech-conditioned generative models achieve high fidelity in clean acoustic c…
- arXiv cs.AIresearchTowards Merging-conditional Backdoor Unalignment against Large Language Models
arXiv:2610.14701v1 Announce Type: cross Abstract: Model merging has become widely adopted for enhancing the task-specific performance of Large Language Models (LLMs) without additional training. While the specialized mod…
- arXiv cs.AIresearchLingdan-V2: Large language models for clinically grounded reasoning in traditional Chinese medicine
arXiv:2610.14705v1 Announce Type: cross Abstract: Large language models have advanced medical reasoning, but clinically grounded reasoning in traditional Chinese medicine (TCM) remains challenging because prescription de…
- arXiv cs.AIagentsVela: User Behavior as Supervision Sparks LLM Intelligence
arXiv:2610.14709v1 Announce Type: cross Abstract: Large language models are increasingly deployed in applications that act on users' long-term behavior histories, from personal assistants to recommendation and advertisin…
- arXiv cs.AIresearchIntegrating AIRL-Based Reward Estimation into a Control Method Using Fuzzy Inference and Policy Gradient
arXiv:2610.14723v1 Announce Type: cross Abstract: A method integrating policy gradient with fuzzy inference has been proposed. This method, hereafter referred to as the base model, has high flexibility with respect to th…
- arXiv cs.AIagentsSelf-improving data synthesis can scale embedding-model adaptation across domains and tasks
arXiv:2610.14730v3 Announce Type: replace-cross Abstract: AI agents require specialised retrieval across domains and tasks, but adapting embedding models is constrained by costly manual training-data design. Here we intr…
- arXiv cs.AIagentsPTGPO: Prefix Tree Group Policy Optimization
arXiv:2610.14737v1 Announce Type: cross Abstract: Training language agents on long-horizon interactive tasks is challenging because sparse terminal rewards provide weak credit signals for intermediate actions. Existing g…
- arXiv cs.AIagentsLast Secure Code Benchmark: Is the Code You Vibe Secure?
arXiv:2610.14766v1 Announce Type: cross Abstract: AI coding agents now write much of the code that ships, yet whether that code is secure remains unclear. We introduce the Last Secure Code Benchmark, a comprehensive eval…
- arXiv cs.AIresearchPrior-Fitted and Frozen Scorers for Multimodal Contrastive Learning
arXiv:2610.14770v1 Announce Type: cross Abstract: Multimodal contrastive learning typically relies on manually specified scoring functions, such as cosine similarity, to quantify the similarity between representations fr…
- arXiv cs.AIresearchTraining a Compact, Strong, and Realistic Text-to-Speech Model
arXiv:2610.14776v1 Announce Type: cross Abstract: Text-to-speech (TTS) systems are conventionally optimized for intelligibility and speaker similarity. However, neither objective captures the prosodic detail that disting…
- arXiv cs.AIagentsYOUDrive: Driving Style as a Composable Direction for End-to-End Autonomous Driving
arXiv:2610.14802v1 Announce Type: cross Abstract: End-to-end driving policies can achieve strong task performance while offering limited control over their driving style. Driving style describes how a vehicle accelerates…
- arXiv cs.AIresearchDepth-progressive 3D seismic velocity model building via 2D generative diffusion models
arXiv:2610.14812v1 Announce Type: cross Abstract: Three-dimensional (3D) velocity model building (VMB) remains computationally challenging with conventional approaches and native 3D neural networks, largely due to the pr…
- arXiv cs.AIresearchSeamless Deployment of Machine Learning Inference at the Far Edge: An Empirical AWS IoT Greengrass Architecture for Industrial Predictive Maintenance
arXiv:2610.14815v1 Announce Type: cross Abstract: Industrial IoT sensors produce continuous, high-volume data streams that predictive maintenance needs to analyse in real time. Cloud-centric architectures send all raw te…
- arXiv cs.AIresearchAI-Native Product Management: A Vision
arXiv:2610.14823v1 Announce Type: cross Abstract: Artificial intelligence is increasingly used to support product management tasks. At the same time, AI-native research and development (R&D) may increase software realiza…
- arXiv cs.AIresearchCross-Lingual TTS for Indian Languages: A Benchmark and Inference-Time Duration Estimation Strategies
arXiv:2610.14826v1 Announce Type: cross Abstract: Recent alignment-free Text-to-Speech (TTS) models achieve high synthesis quality by removing explicit alignment modules and simplifying training. However, they often stru…
- arXiv cs.AIagentsGetting Space Right: Agentic Rewards for Image Generation
arXiv:2610.14852v1 Announce Type: cross Abstract: Reinforcement learning (RL) is promising for spatial text-to-image generation, but existing work largely focuses on policy optimization, assuming accurate rewards and eff…
- arXiv cs.AIresearchProbabilistic Multi-Source Data Selection via Learnable Categorical Priors: Variance Reduction and Guaranteed Derandomization
arXiv:2610.14942v1 Announce Type: cross Abstract: Bilevel data selection is a fundamental task with numerous applications in machine learning and statistics. A common strategy for tackling this problem is to relax the or…
- arXiv cs.AIresearchCounterfactual Rollouts for Offline Contrastive Goal-Conditioned Reinforcement Learning
arXiv:2610.14953v1 Announce Type: cross Abstract: Contrastive reinforcement learning (CRL) learns goal-conditioned values by associating state--action pairs with the states subsequently reached, assuming that no unobserv…
- arXiv cs.AIagentsHumans vs. Machines: A Comparison With AI Agents in Software Reverse Engineering
arXiv:2610.14960v1 Announce Type: cross Abstract: Can an autonomous AI agent reverse engineer a binary as well as a skilled human analyst? Do they adopt the same strategy, and can agents scale to real-world programs? We…
- arXiv cs.AIresearchFitting Every Hint Is Not Enough: Premature Floods in Recurrent Algorithmic Reasoners
arXiv:2610.14982v1 Announce Type: cross Abstract: Recurrent algorithmic reasoners are trained with per-step hints on small graphs and run for many more steps on large ones. On breadth-first search in SALSA-CLRS, we find…
- arXiv cs.AIresearchToo Late to Prune: Generative AI, the Screen, and Team Creative Decisions
arXiv:2610.14984v1 Announce Type: cross Abstract: Generative AI makes options cheap and shifts the bottleneck of creative work from generating options to screening them. We argue that AI's value depends on whether its op…
- arXiv cs.AIresearchMixing Regularization for Average-Reward $Q$-Learning and $Q$-Planning
arXiv:2610.14988v1 Announce Type: cross Abstract: The average-reward setting for reinforcement learning is challenging because its Bellman operator is known to contract in span only when the underlying Markov chain is mi…
- arXiv cs.AIresearchRecurrent In-Context Learning for Tabular Foundation Models
arXiv:2610.14998v1 Announce Type: cross Abstract: Tabular foundation models adapt to new datasets through in-context learning (ICL), and, like most transformers, they tie computational depth to the number of independentl…
- arXiv cs.AIresearchUltraBERT: Beyond the Limit of BERT Pre-Training
arXiv:2610.15028v1 Announce Type: cross Abstract: Recent bidirectional encoders have been modernized with innovations from causal large language models (LLMs). However, the pretraining recipe itself remains inherited fro…
- arXiv cs.AIresearchIs a 9B Decision Foundation Model Needed for Symptom-to-Disease Classification? Fine-Tuning Clef-Flash Against TF-IDF Baselines
arXiv:2610.15029v2 Announce Type: replace-cross Abstract: Disease classification from patient-reported symptom descriptions is usually approached with lightweight discriminative models or with autoregressive large langua…
- arXiv cs.AIresearchInCLAD: A Continual Learning Benchmark for Industrial Visual Anomaly Detection
arXiv:2610.15032v1 Announce Type: cross Abstract: Industrial anomaly detection benchmarks have advanced rapidly, yet they remain largely static and therefore underrepresent deployment settings in which inspection systems…
- arXiv cs.AIresearchSelect or Rewrite: Oracle-Guided Fine-Tuning for Generative ASR Post-Editing from N-Best Hypotheses
arXiv:2610.15056v1 Announce Type: cross Abstract: Large language models can post-edit ASR by using linguistic context to compare N-best hypotheses and rewrite the transcript when needed, often improving WER without retra…
- arXiv cs.AIresearchDeep Learning-based Semantic Segmentation of Dental Radiographs: Comparative Evaluation of PSPNet, DeepLabv3, UNet, and UNet++
arXiv:2610.15061v3 Announce Type: replace-cross Abstract: Accurate and efficient analysis of dental radiographs has become increasingly important for disease diagnosis and clinical decision making. In particular, dental…
- arXiv cs.AIresearchGAMW: Generation-Aware Mel-Domain Watermarking for TTS Traceability
arXiv:2610.15082v1 Announce Type: cross Abstract: As text-to-speech (TTS) systems continue to advance, provenance tracking and security verification of synthesized speech have become increasingly important. Audio waterma…
- arXiv cs.AIresearchHave You Been Convinced? A Neuro-symbolic Argumentation Reasoning Approach to Detecting Persuasiveness in ChangeMyView Discussions
arXiv:2610.15091v1 Announce Type: cross Abstract: Argument structures represent how individual arguments interact within a discourse. However, leveraging these structures to infer meaningful knowledge remains challenging…
- arXiv cs.AIresearchVLCQ: Post-training quantization for deep neural networks using variable length coding
arXiv:2610.15092v1 Announce Type: cross Abstract: Quantization plays a crucial role in efficiently deploying deep learning models on resource-constrained devices. Post-training quantization does not require access to the…
- arXiv cs.AIagentsTurnCost: Turns, Not Observations: Cache-Aware Loop Engineering for Coding Agents
arXiv:2610.15093v1 Announce Type: cross Abstract: AI coding agents operate in iterative loops: they modify code, run tools, inspect the results, and decide what to do next. We call the design of this process loop enginee…