Earth System World Model for What-If Simulations: A Case Study for Terrestrial Ecosystems
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SQLMorph: Query Mutation and Fine-Grained Metrics for Text-to-SQL Evaluation
Personalizing LLM Agent Memory Using Biometrics
LEBGen: An LLM-Enhanced Bayesian Network Framework for Few-Shot Travel Survey Data Genera…
Feyospace-v1: How the Cyber Mercury Seven Trained Frontier Cyber Models
AgentGrad: Intervention-guided Prompt Optimization for Multi Agent Systems
When Can One Obtain Certificates of Optimality Using Positivstellensaetze?
Hi-FLoop: Hierarchical State-Feedback Loops for Multi-Timescale World Modeling
Optimal Experiments for Partial Causal Effect Identification
zScore-N: A Neural Network for On-Chain Wallet Reputation Scoring
Agentic ML Exploration (A-MLE) for Ads Ranking
CircuTutor: Transforming Static Circuit Problems into Intelligent and Dynamic Tutoring
Evidence-Aligned Entity Verification for Hallucination Detection in Retrieval-Augmented G…
Hyperparameter Scaling Laws Across MoE Sparsity
Qiushi Engine on AstaBench E2E-Bench-Hard
MemForest: Efficient Agent Memory Management via EventTree Partitioning and Progressive M…
SE-GoS: Self-Evolving Graph-of-Skills for Skill Library at Scale
Closing the Consistency Gap: Self-Evolving Agents That Learn to Stay on Course
Silent Revision: Measuring Undisclosed Change in the Safety Frameworks of Frontier AI Dev…
API Benchmark Scores Do Not Reliably Transfer to Chatbot Interfaces
WorldAgen: Unified State-Action Prediction with Test-Time World Model Training
Key Path Identification for Resolving Knowledge Conflicts via SAE-based Steering
Inference-Time Nash Alignment
RevalExo: A Functional Daily-Activity Benchmark for Inertial and Visual Locomotion Mode R…
OntologyBench: Can Dense Retrieval Satisfy Structured Biomedical Constraints?
SciLitBench: Benchmark and Design Principles for LLM-Powered Systematic Literature Reviews
Damage-Aware Bandit Pruning for Vision and Language Transformers
Compiling VGDL into Causal Models
Does Deeper Reasoning Compromise Alignment? Revealing and Mitigating of Alignment Collaps…
MoEMB: Scaling Universal Multimodal Embeddings with Efficient Mixture-of-Experts Models