On the Difficulty of Learning a Meta-network for Training Data Selection
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A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models
V-LynX: Token Interface Alignment for Video+X LLMs
Pre-Deployment Robustness Stress Testing for CT Segmentation Systems Using Clinically Mot…
Finer Parameter Steps for Low-Rank PEFT: A Controlled Study with CP Tensor Adapters
SUPREME: A Multi-GPU Framework for Reproducible Image Unlearning Method Evaluation
DRL-Based Pose Control for Double-Ackermann Robots Under Actuation Uncertainties
InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate
SEMBridge: Tagless-Final Program Semantics with Weakest-Precondition and Bounded-Checking…
Synthetic Data from Cross-Domain Events for Large-Scale Recommendation Systems
Short-form Text Rewriting with Phi Silica
TCAR-Gen: Temporal Graph Retrieval with Evidence Fusion for Knowledge-Grounded Generation
Understanding Stigmatizing Language in Clinical Documentation: A Paired Comparison of Amb…
Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inac…
Benchmarking Multimodal LLMs on Code Generation for Complex Interactive Webpages
What Makes a Strong Model? A Unified Spectral Analysis of Knowledge Transfer over High-di…
Topological Ignorability for Structural Causal Effects Beyond Means
Bridging the Last Mile of Time Series Forecasting with LLM Agents
Beyond One-shot: AI Agents for Learning in Field Experiments
Knowledge-Intensive Video Generation
Test-Time Training for Zero-Resource Dense Retrieval Reranking
Forget Attention: Importance-Aware Attention Is All You Need
From Capability Models to Automated Planning: An AAS-Native Approach for Automatic PDDL G…
Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management…
Memory-Efficient LLM Training with Dynamic Sparsity: From Stability to Practical Scaling
SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-A…
An Open-Source Benchmark and Baseline for Multi-temporal Referring Segmentation
A Primer in Post-Training Reasoning Data: What We Know About How It Works
Logit Distillation on Manifolds: Mapping by Learning
Boosting Multimodal Federated Learning via Chained Modality Optimization