Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions
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Diagnosing Search Behavior and Failure Modes in Long-Horizon Search Agents
Neuro-Evolved Heuristics for Variable Gapped Common Subsequence Identification
RL-Lock: Reinforcement Learning for Generating Interlocking Assemblies
Measurement Without Validity: The Compounding Reliability Problem in Agentic AI Evaluation
When Memory Updates but Behavior Does Not: Repairing Implicit Stale Dependencies in Perso…
EduZone: A Framework for Evaluating LLM Safety for K-12 Students and Teachers
Tracing the Cascade: A Topology-Aware Evaluation Framework for Scientific Agent Hallucina…
AI-Based Thesis Assessment: An Empirical Study of Human Evaluation Priorities and Their I…
AgentSLABench: Evaluating and Benchmarking Agentic Systems Under Resource Constraints
CADIR: A Cross-Backend Editable Intermediate Representation for Agentic CAD Generation
GISAgentBench: A Practitioner-Sourced Benchmark for Evaluating LLM Agents on GIS Tasks
Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for …
Beyond the Mean: Multi-Moment Policy Optimization for LLM Reasoning
DASH: Decoupled Adaptive Surrogate - Acquisition Harness for Automated Bayesian Optimizat…
Can You Trust the Confidence? ConfBench for Vision-Language Models on Document Extraction
Slides2MindMap: Reconstructing Cognitively Efficient Knowledge Hierarchies from Lecture S…
TrajWiki: Source-Grounded Memory Trajectories for Long-Horizon Dialogue Agents
CoNav-UAV: Cooperative Dual-Altitude Aerial Navigation via Stackelberg Learning
Why Does the Future Branch? Identifiable Closure Tests for Stochastic Physical World Mode…
HetGPS: Scalable Graph Multi-Agent Reinforcement Learning with Physics-Anchored Adaptive …
EchoChange: A Diffusion Language Model with Dual Pass Remasking for Factual Remote Sensin…
CURE: Local Uncertainty Repair for Block-Parallel Speculative Decoding
Through the LENS: Local Geometric Decomposition of Vision-Language Model Representations
Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process…
BayesSeg: A Bayesian Optimization Framework for State Segmentation of Electricity Consump…
The Bayesian Reflex: A Predictive Coding Engine for Artificial Intelligence
Toward Fine-Grained Forgetting:Attribute Unlearning for Multimodal Large Language Models
CockpitHAT: Dependency-Graph-Driven Hierarchical Attribution for Embodied Multi-Agent Coc…
Evolving in the Agent Jungle via History-Informed Opponent Awareness