GLAIM: Learning Global and Local Adaptive Inter-Variable Dependency for Multivariate Time…
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Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions
DASH: Decoupled Adaptive Surrogate - Acquisition Harness for Automated Bayesian Optimizat…
Behavioral Grammar: Detecting Adaptive Malware via Tiny Language Model Priors and Second-…
CURE: Local Uncertainty Repair for Block-Parallel Speculative Decoding
The Bayesian Reflex: A Predictive Coding Engine for Artificial Intelligence
F-WANDA: Fisher-Reweighted Post-Training Pruning for Sustainable Deployment of Large Lang…
Diagnose Before You Compress: Prediction-Independent Bottleneck Witness Refinement for LL…
FAST-GS: Frequency Aware Space-time Gaussian Splatting for Photorealistic Dynamic Novel V…
BayesSeg: A Bayesian Optimization Framework for State Segmentation of Electricity Consump…
TCPO: Turn-Level Credit Policy Optimization
CoEvoKG: Co-Evolving Knowledge Graphs with Self-Evolving Search Agents
RamanPFN: learning from Raman spectral structure with a tabular foundation model
PosterMELD: Multi-Agent Paper-to-Poster Generation for Controllable Design Diversity with…
Salami Attack: Stealthy Collusive Memory Poisoning against OpenClaw
Through the LENS: Local Geometric Decomposition of Vision-Language Model Representations
TrAC: Trace-Conditioned Answer Consistency for Efficient Uncertainty Quantification in LL…
Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory
Antares: Foundation Models for Agentic Vulnerability Localization
Fighting Fire with Fire: On the Feasibility of Protecting Exercises Against AI Cheating
QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits
MemoryForge: Synthesize Lifelong Memory for Human-Like LLM Agents
MonitrLLM: A Community-Centered Evaluation Infrastructure for Large Language Models
Before Reasoning Fails: Pre-Evidence Procedural Failures in Agentic RAG
Physics-Informed Neural Networks for Complex Eigenfrequency Identification and Mode Struc…
Trajectories That Segment Themselves: Agent-Declared Boundaries as a Training Unit
Effective and Efficient Context Retrieval via Partial Dependency Graph for Repository-Lev…
Request-Level Energy Attribution for Batched LLM Serving
DAPD: Dual-Anchored Policy Distillation
FinDeepIndicator: Benchmarking Deep Research Agents in End-to-End Financial Indicator Con…