Oracle Gap and Signal Fidelity: A Fixed-Pool Diagnostic for Test-Time Collaboration
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Diversity-Oriented Fine-Tuning for Uncertainty-Based Hallucination Detection
DS@GT ARC at eRisk 2026: Hybrid Multi-Agent LLM System with Structured Algorithmic Guidan…
RECON: Benchmarking Agent Memory for Compositional Reasoning over Long Contexts
Constraint-Anchored Reasoning Traces
Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction
RELIC: Revealed Principles for Learning Interpretable Composable Skills in Multi-Agent Pl…
FST.ai 2.5: Explainable and Uncertainty-Aware AI for Olympic and Para-Taekwondo Decision …
AgentBrew: Lifelong Knowledge Brewing from Strong Teachers to Weak LLM Agents
Beyond Semantic Equivalence: Logical Graphs for LLM Uncertainty Quantification
Learning-Driven Adaptive Audit Scheduling: A Sequential Decision Approach to Off-Chain Da…
Agentic ERP: Multi-Agent Large Language Model Architecture for Autonomous Enterprise Reso…
DeeperRadar: End-to-End MIMO Radar Design and Multi-Modal Fusion for Autonomous Vehicle P…
Artificial Intelligence for Understanding and Managing Transportation Behavior in Sustain…
WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law E…
ST-Veto: Spatio-Temporal Token Veto for Diffusion MLLMs via Taylor Prediction and Visual …
Mitigating Compiler Fusion-Induced Power Bursts in Mobile NPU Inference as the Battery De…
Deterministic Replay for AI Agent Systems
Quantizing Recursive Reasoning Models
Diffusion-corrected Autoregressive Fourier Neural Operator for Droplet Evolution Predicti…
Normalized Rewards for Preference Optimization
SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling
From Overload to Insights: How AI Agents Can Support Scientists in Analyzing Complex Data
Bridging the Information Gap: Semantic Densification and Hindsight Distillation for Cold-…
Environment-free Synthetic Data Generation for API-Calling Agents
Comprehensive Evaluation of Machine Learning for Type 2 Diabetes Risk Prediction: Large-S…
Feature Generation Using LLMs: An Evolutionary Algorithm Approach
Lomekwi: Resource-Bounded Tool Discovery in LLM Agents
From Outcomes to Actions: Leveraging Hindsight for Long-Horizon Language Agent Training
Depth Estimators Are Implicit Neural Fields for 3D Scene Geometry Inpainting and Reconstr…