AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchDo LLMs Understand Context? A Knowledge Graph-Based Evaluation Framework
arXiv:2609.30484v1 Announce Type: new Abstract: While large language models (LLMs) have achieved remarkable linguistic capabilities, a profound question lingers at their core: do these models truly comprehend context or…
- arXiv cs.AIresearchBioEVAL: A global, multi-institutional benchmark of large language and multimodal models for bioengineering
arXiv:2609.30489v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated historic breakthroughs in general reasoning with early successes in biomedical science. However, existing LLM benchmarking em…
- arXiv cs.AIresearchBenchy: towards a universal language for task-oriented AI benchmarks
arXiv:2609.30550v1 Announce Type: new Abstract: Benchy is a semantic language and execution engine for benchmarking AI programs. A benchmark is completely specified by a program, a scoring function, and a dataset, B=(P,S…
- arXiv cs.AIresearchRank-Reliable Teacher-Guided Fitness Approximation for Expensive Evolutionary Optimization: A TinyML Architecture Search Study
arXiv:2609.30553v1 Announce Type: new Abstract: Expensive evolutionary search does not always need an exact fitness estimate for every candidate. It often needs a reliable answer to a simpler question: which candidate is…
- arXiv cs.AIagentsThinking Less to Simulate Better: Intuitive Prompting Improves LLM Agents Simulating Individual Social Media Reactions, Including Unfamiliar Content
arXiv:2609.30563v1 Announce Type: new Abstract: Platform policies are increasingly tested on artificial users, making agent fidelity important. Yet convincing fake profiles could also manipulate perceived public opinion…
- arXiv cs.AIresearchAtelier: Learning Local Self-Supervised Features for CryoEM Volumes via Hypernetworks
arXiv:2609.30569v1 Announce Type: new Abstract: CryoEM map interpretation requires features that are spatially localized, consistent across samples, and informative across spatial scales. Most deep learning methods for m…
- arXiv cs.AIresearchHARDEN: Constrained Evolutionary Search for Harder, Answer-Preserving Evaluation Cases
arXiv:2609.30571v1 Announce Type: new Abstract: Language models are often evaluated on curated benchmarks that underrepresent the complexity of enterprise deployments. We introduce HARDEN, a constrained evolutionary sear…
- arXiv cs.AIresearchT-RoPE: Time-Aware Rotary Position Embedding for Sequential Recommendation
arXiv:2609.30576v1 Announce Type: new Abstract: Large-scale recommenders increasingly adopt the sequential generative recipe behind large language models, bringing the Transformer into recommendation along with design ch…
- arXiv cs.AIresearchAudio LLMs Know When They Can't Hear You
arXiv:2609.30625v2 Announce Type: replace Abstract: Audio large language models allow users to interact with the model through speech. When an input recording is too degraded, the model may misinterpret the user's query…
- arXiv cs.AIagentsLLM Parkinsonism: Executive-Control Failure, Token-Inefficient Persistence, and an Uncertainty-Aware Global Executive Control Architecture for Autonomous Language-Model Agents
arXiv:2609.30662v2 Announce Type: replace Abstract: Large language models (LLMs) can plan, use tools, write code, and execute long-horizon workflows, yet strong local competence does not guarantee project-level executive…
- arXiv cs.AIresearchThe Price of Thought: Does Test-Time Reasoning Pay in LLM Trading?
arXiv:2609.30705v1 Announce Type: new Abstract: While inference-time reasoning in large language models (LLMs) promises better decision making, its higher computational cost may not yield better economic outcomes. Yet re…
- arXiv cs.AIresearchLAVOIR: Teaching a Single-Pass Decision Encoder When and What to Ask with Amortized Value of Information
arXiv:2609.30706v1 Announce Type: new Abstract: "System One" decision models such as TypeSafe's Jev and its open counterpart Laya answer typed questions about a text in a single forward pass with calibrated probabilities…
- arXiv cs.AIagentsCRC-Router: Risk-Constrained Routing for Medical Agentic AI Systems
arXiv:2609.30714v1 Announce Type: new Abstract: Agentic AI systems are increasingly being explored in medical imaging to improve throughput and reduce clinician workload; however, safe deployment remains challenging beca…
- arXiv cs.AIagentsAnalyzing and Mitigating Cost-Inefficient Behaviors in Coding Agents
arXiv:2609.30725v3 Announce Type: replace Abstract: Although effective, coding agents often incur substantial monetary costs. Their recurring cost-inefficient behaviors remain underexplored. We conduct the first study of…
- arXiv cs.AIagentsLearning What to Skip: Counterfactual Credit Assignment for Efficient Multi-Agent LLM Workflows
arXiv:2609.30734v1 Announce Type: new Abstract: Multi-agent LLM workflows use planning, execution, verification, and summarization to improve task performance, yet the value of each component depends on the state already…
- arXiv cs.AIresearchFrom S3Q Theory to Implementation: Towards an Architecture for Machine Qualia
arXiv:2609.30743v1 Announce Type: new Abstract: A key challenge in machine consciousness research is translating theoretical models into computational-level implementations. In this paper, we address this challenge by pr…
- arXiv cs.AIresearchORCA: Evaluating LLMs on Data Science Code Translation
arXiv:2609.30749v1 Announce Type: new Abstract: Data Science Code Translation (DSCT) is the process of converting code between data science libraries while preserving functional equivalence and enabling interoperability…
- arXiv cs.AIresearchBackbone-Adaptive Evidence Routing for Robust Pairwise LLM Judging
arXiv:2609.30751v1 Announce Type: new Abstract: Pairwise language-model judges can gather evidence through direct comparison, reasoning, or reference-based verification, but no single protocol is best across benchmarks a…
- arXiv cs.AIresearchSelective Amortization of Full-Budget Counterfactual Reasoning for Visual Token Communication
arXiv:2609.30756v1 Announce Type: new Abstract: Generative image communication transmits compact semantic tokens under a limited packet budget, where token selection directly affects the final reconstruction quality afte…
- arXiv cs.AIresearchHCOE: Hyperbolic Clinical Ontology Embeddings from Biomedical Language Models
arXiv:2609.30763v1 Announce Type: new Abstract: Biomedical language models (LMs) encode textual semantics but do not explicitly preserve medical code hierarchies. We present Hyperbolic Clinical Ontology Embeddings (HCOE)…
- arXiv cs.AIresearchInsurance Reserve Intelligence Platform
arXiv:2609.30765v1 Announce Type: new Abstract: Insurance reserve estimation is a fundamental actuarial task supporting premium pricing, solvency assessment, financial reporting, capital planning, and risk management. Cl…
- arXiv cs.AIresearchDoes Thinking Help Fairness? Reasoning Tokens Resolve Some Biases but Create More
arXiv:2609.30768v1 Announce Type: new Abstract: Thinking in reasoning language models (RLMs) has been subject to debate on whether it resolves or amplifies bias. Prior works have shown competing conclusions in both direc…
- arXiv cs.AIresearchConsultMind:Towards Automated Diagnostic Consultation via Uncertainty-Aware Reasoning
arXiv:2609.30796v1 Announce Type: new Abstract: Diagnostic consultation is an online sequential decision-making process in which clinicians gather evidence through patient interaction until a diagnosis is sufficiently su…
- arXiv cs.AIagentsHasMem: Hard-Origin Adaptively Softened Memory for Long-Term LLM Agents
arXiv:2609.30797v1 Announce Type: new Abstract: Text-based memory and context compression support reuse of past interactions. Resizing continuous memory changes the input to a frozen LLM, coupling capacity allocation wit…
- arXiv cs.AIagentsEvaluating Real-Time Voice Agents: From Component Quality to Grounded Outcomes
arXiv:2609.30798v1 Announce Type: new Abstract: Real-time voice agents have moved from research prototypes to production deployments, yet the literature describing them is fragmented across three communities that rarely…
- arXiv cs.AIagentsA Benchmark and Diagnostic Study of Epistemic Admission in Shared Agent Memory
arXiv:2609.30813v1 Announce Type: new Abstract: Evaluating claim admission in shared agent memory is challenging because repeated claims may be mistaken for independent evidence. An agent may copy or paraphrase a retriev…
- arXiv cs.AIresearchPTC-Decoder: Towards Intelligent SLMs on Offline Resource-Constrained Edge Devices
arXiv:2609.30836v1 Announce Type: new Abstract: Deploying small language models (SLMs) on offline, resource-constrained edge devices such as remote sensing satellites presents a fundamental challenge: their limited reaso…
- arXiv cs.AIresearchWhy Jailbreaks Succeed in Diffusion Language Models: An Energy Landscape Analysis
arXiv:2609.30841v1 Announce Type: new Abstract: Existing attacks and defenses for diffusion-based large language models (dLLMs) target specific vulnerabilities but lack a shared framework explaining why attacks succeed.…
- arXiv cs.AIagentsSkillEvoReg: Regularizing Agent Skill Evolution Against Overfitting
arXiv:2609.30861v1 Announce Type: new Abstract: Language-model agents increasingly improve by converting execution experience into reusable external skills. Yet repeated skill updates form a learning process of their own…
- arXiv cs.AIresearchTISD: On-Policy Self-Distillation with Trajectory Intervention
arXiv:2609.30878v1 Announce Type: new Abstract: On-policy self-distillation (OPSD) provides dense teacher targets, but evaluates them only along student-sampled rollouts. When the privileged teacher favors an alternative…
- arXiv cs.AIresearchEXAONE Demand 1.0: A Time Series Foundation Model for Demand Forecasting
arXiv:2609.30880v1 Announce Type: new Abstract: Time series foundation models (TSFMs) are pretrained on series from diverse domains, where demand series make up only a small fraction. Demand data has properties that such…
- arXiv cs.AIagentsFrom Tapping to Hopping: Augmenting Mobile GUI Agents with App-Native Deeplinks
arXiv:2609.30887v1 Announce Type: new Abstract: Mobile GUI agents complete tasks using GUI actions like taps and swipes. These actions are broadly applicable across applications, but reaching a navigation interface. A si…
- arXiv cs.AIresearchTraining Graph Foundation Models on The Web Graph
arXiv:2609.30894v1 Announce Type: new Abstract: We introduce Acacia, a graph foundation model, trained on the web graph. Acacia (i) supports arbitrary feature dimensionalities and semantics without additional training, (…
- arXiv cs.AIresearchJevSoup: System-One Routing for Training-Free LoRA Composition
arXiv:2609.30922v1 Announce Type: new Abstract: Building adaptable AI systems requires effective coordination of specialized capabilities across diverse tasks. Low-rank adaptation (LoRA) enables modular expertise, but ex…
- arXiv cs.AIresearchSelf-Play Search Distillation for Large Language Model Reasoning
arXiv:2609.30936v1 Announce Type: new Abstract: Improving reasoning abilities in Large Language Models (LLMs) requires high-quality data that exposes difficult decisions, competing alternatives, and their consequences. D…
- arXiv cs.AIagentsMACBT: A Multi-Agent Cognitive Behavioral Therapy Decision Support System with Longitudinal Memory
arXiv:2609.30939v1 Announce Type: new Abstract: Cognitive behavioral therapy (CBT) is an evidence-based first-line treatment for depression, yet its scale is constrained by the time clinicians spend on pre-session prepar…
- arXiv cs.AIagentsFinancial Fragility in Societies of LLM Agents: Coordination Failures and Stabilizing Mechanisms
arXiv:2609.30940v1 Announce Type: new Abstract: Individually protective decisions can produce avoidable collective failures. As large language model (LLM) agents take on greater roles in financial decision-making, financ…
- arXiv cs.AIagentsLogicTree-RAG: Logic Tree-guided Retrieval-Augmented Generation for Long-form Patent Drafting
arXiv:2609.30943v1 Announce Type: new Abstract: Long-form technical text generation underpins knowledge-intensive workflows, yet remains challenging for large language models (LLMs) due to the need for globally consisten…
- arXiv cs.AIresearchFTB Graph: Determining and Validating First-token Broadcasters and Language-Identity Head Circuits in Multilingual Language Models
arXiv:2609.30954v1 Announce Type: new Abstract: Large language models operating in multilingual contexts must resolve target response languages early in generation, yet the causal circuitry governing first-token language…
- arXiv cs.AIresearchMoMHa: Multi-Objective Optimization of LLM Harnesses over Accuracy, Safety, and Tokens
arXiv:2609.30967v1 Announce Type: new Abstract: Most work on improving large language models treats accuracy as the sole objective. We argue that the harness, the Python code surrounding the model that constructs prompts…
- arXiv cs.AIagentsSciHorizon-eLab: An Agentic Protocol-to-Task Compiler for Scalable Benchmarking of Scientific Embodied Agents
arXiv:2609.30971v1 Announce Type: new Abstract: Embodied agents offer a promising route to automating scientific experimentation, yet their progress is constrained by the lack of reliable and systematic evaluation enviro…
- arXiv cs.AIresearchFactorized axis convolutional gated recurrent unit with dynamic adaptive pooling for remaining useful life prediction of rolling bearings
arXiv:2609.30972v1 Announce Type: new Abstract: Convolutional neural networks (CNN) are widely used to predict the remaining useful life (RUL) of rolling bearings from time-frequency representations (TFRs) of vibration s…
- arXiv cs.AIresearchSame Text, Different Numbers: The Divergence of LLM-Based Measures
arXiv:2609.31013v1 Announce Type: new Abstract: Researchers increasingly use generative large language models (LLMs) to convert corporate text into empirical variables. We examine the extent to which LLM-based textual me…
- arXiv cs.AIresearchGoverned Deduction: Policy-Grounded Premise Authorization Beyond Relevance
arXiv:2609.31029v1 Announce Type: new Abstract: Reasoning systems usually treat premise use as a question of relevance: if a fact is available and useful, it may be selected for inference. Authorization imposes a differe…
- arXiv cs.AIagentsCheap, open agents make LLM pollution harder to mitigate
arXiv:2609.31054v2 Announce Type: replace Abstract: Large Language Model (LLM) pollution occurs when synthetic responses contaminate data intended to capture human behavior. High deployment costs have so far limited the…
- arXiv cs.AIresearchNeuralyzing the Trace: Selective Representation-Level Unlearning with Contrastive Sparse Autoencoders
arXiv:2609.31056v1 Announce Type: new Abstract: Machine unlearning aims to remove targeted information while preserving a model's other abilities. In realistic settings, such as privacy requests under the EU GDPR, the ta…
- arXiv cs.AIresearchExternalized CPDAG Summaries Improve LLM Causal Deduction
arXiv:2609.31071v1 Announce Type: new Abstract: Corr2Cause asks whether a causal claim holds in every DAG compatible with observed correlations and conditional independencies. We frame this as latent-object reasoning: th…
- arXiv cs.AIagentsUp and Down the Abstraction Ladder: Code-Based Skills for Language Agents
arXiv:2609.31076v1 Announce Type: new Abstract: Language agents struggle to act and learn in environments that require long sequences of low-level actions. Code-based abstractions can make these agents more productive by…
- arXiv cs.AIagentsOmouAI: Argumentative Human-AI Policy Deliberation with Simulated Personas
arXiv:2609.31078v1 Announce Type: new Abstract: Debates amongst agents driven by large language models (LLMs) have demonstrated vast potential in various applications, but when these interactions include humans and take…
- arXiv cs.AIresearchMonitor Jailbreaking: Evading Chain-of-Thought Monitoring Without Encoded Reasoning
arXiv:2609.31121v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring is a promising safety technique for reasoning models, enabling detection of problematic reasoning before models act. A key concern is enco…