cs.AI — items we recorded

56 item(s) from this outlet appeared in our collection.

• Regularized Emphatic Temporal-Difference Learning: Stability under Constant Stepsizes
  2026-09-18
• BioPhys-Bridge: A Benchmark for Interdisciplinary Scientific Reasoning in Physics-Grounded Biological Research
  2026-09-18
• What Do We Expect from LLMs? Mapping the Design of LLM Benchmarks
  2026-09-18
• Position: It is Time to Virtualize Foundation Models with a Self-evolving Operating System Layer
  2026-09-18
• Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records
  2026-09-17
• EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents
  2026-09-17
• One Color Preprocessing Improves DSATUR
  2026-09-17
• Physics-Constrained Digital Twins for Sensor Integrity in Urban Pedestrian Flow: Detecting Stealthy False Data Injection with Conformal Guarantees
  2026-09-17
• Optimal Pruning for Neural Architectures using Fisher Information Distances
  2026-09-16
• Safe Error Correction for Language Models: Frozen-Base Adjustment with Capability Preservation
  2026-09-16
• GPEvac: GNN-Based PPO for Adaptive Evacuation Routing During Shooting Events
  2026-09-16
• Position: AI Is Not Ready for Strategic Conflicts
  2026-09-16
• ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search
  2026-09-15
• Converge Then Diversify: Decoupling Convergence and Diversity in Multi-Objective Bayesian Optimisation
  2026-09-15
• Generalized Agent Iteration: One Formal Framework for Iterative Policy Improvement and Recursive Self-Improvement
  2026-09-15
• Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents
  2026-09-15
• Probabilistic Focal Search: Accelerating Bounded-Suboptimal Search via Lower-Bound Advancement
  2026-09-12
• Automating Quadratic Unconstrained Binary Optimization (QUBO) Formulation Generation from Natural Language
  2026-09-12
• A Multi-Stage Rule-Chaining Framework for Compositional and Interpretable Cognitive Reasoning
  2026-09-12
• Understanding LoRA Rank Trade-offs in Diffusion Model Fine-Tuning
  2026-09-12
• OpenDiscoveryTrace: Process Traces for Evaluating AI Scientist Workflows
  2026-09-11
• Adaptive Entangled Game Modules in Artificial General Intelligence
  2026-09-11
• Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks
  2026-09-11
• Gradland: On Phenomenal Experience, Differentiated Across Many Dimensions
  2026-09-11
• Beyond Right and Wrong: Evaluating Second-order Social Reasoning in Large Language Models
  2026-09-10
• CriticGen: Generation-Aware Evaluation as Actionable Feedback
  2026-09-10
• When Does Memory Help? A Cost-Aware Evaluation of Long-Term Memory in Tool-Using LLM Agents
  2026-09-10
• AutoFyn Technical Report: Non-Parametric Expert Iteration for Long-Horizon Agents
  2026-09-10
• EXAONE Forecast for Finance
  2026-09-07
• From Matching Models to Recruiting Agents: A Systematized Narrative Review of AI Recruitment Systems, Evaluation, and Governance
  2026-09-07
• Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation
  2026-09-07
• Data-Optimized Contingency Screening: A Machine Learning Approach to Power System Security
  2026-09-07
• Structure and Implementation of New Practical English Textbooks Driven by Artificial Intelligence
  2026-09-04
• MasterControl Seventeen Every Time
  2026-09-04
• Speculative Macro Commit for Faster Tool-Using Agents
  2026-09-04
• Fresh Memory, Stale Plans: Dependency-Scoped Validation for Distributed LLM-Agent Memory
  2026-09-04
• EvalDetectBench: A Benchmark for Measuring Evaluation Awareness in Frontier Language Models
  2026-09-03
• Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI
  2026-09-03
• When Can a Machine Trust a Statute? A Survival Certificate for Machine-Extracted Legal Logic
  2026-09-03
• When Does Information Sharing Improve Decentralized Discovery? Aggregation, Independent Rescue, and Equilibrium Selection
  2026-09-03
• HyperWorld: Hypergraph-Structured State Serialization Improves Learned Textual World Models
  2026-09-02
• I-CARE: Analysis of interference-related phenomena in a controllable, diverse and representative unlearning setting for text-to-image models
  2026-09-02
• Discrete-Time MDP Modeling for Multi-Item Capacitated Lot Sizing with Stochastic Demand Timing
  2026-09-02
• Incremental Risk Assessment of Progressive Elder Financial Scams via Instruction-Tuned Small Language Models
  2026-09-02
• DS-Lighting: Making Agent Harnesses Explicit for Data-Science Automation
  2026-09-01
• Expert-validated STEM QA
  2026-09-01
• A collective capability boundary in frontier large language models on guideline-conformant and case-specific oncology decision-making
  2026-09-01
• Statutory AI: Aligning Large Language Models With Legal Norms
  2026-09-01
• EduRiskX: A Neuro-Symbolic Framework with F-Logic Reasoning for Early Academic Risk Prediction
  2026-08-28
• Standalone LLM and a Pre-specified Agentic Pipeline for Explaining ICU Mortality Predictions: a Feasibility Study on the eICU Demo Dataset
  2026-08-28
• Large Models for Battery Prognostics and Health Management: A Review and Future Roadmap
  2026-08-28
• PICasso: An AI-Enabled Design Framework for Autonomous Optimization of Silicon Photonic Devices
  2026-08-28
• RENDER: Controlling Reader-Facing Evidence in LLM Memory Evaluation
  2026-08-27
• ESQ-Bench: A Multi-Tier Enterprise Oracle Benchmark for Evaluating NL2SQL Dialect Generalization and Silent Semantic Divergence
  2026-08-27
• LLM Agents Perform Controlled Experiments Using Simulation Models
  2026-08-27
• A survey detection channel overrides the pixels in an astronomical foundation model, and biases tomographic mean redshifts
  2026-08-27