HARP: Efficient Data Selection for Finetuning Large Language Models
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What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction
Knowledge-Inclusive Adaptive Physics-Informed Neural Network for Microbial Interaction Mo…
Post-AGI Economies: Superposition and the Second Fundamental Theorem of Welfare Economics
Outage Detection in Self-Healing Smart Grids Using Reinforcement Learning with Spectral G…
Training-Inference Kernel Contracts: Bounding Divergence in Post-Training and Deployment
Enabling KV Caching of Shared Prefix for Diffusion Language Models
SurfDesign: Effective Protein Design on Molecular Surfaces
Considerations for an Integrated Detector Design at FCC-ee: A Human-AI Exploration
The Montparnasse Algorithm for RNA Design
Semantic Cache Distillation: Efficient State Transfer via Reuse and Selective Patching
SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?
Can You Trust What You See? Human and AI Detection of Synthetic Legal Evidence
LEAF: Growing Trees Without Branching for Speech-Aware Large Language Model Post-Training
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers
Sample-Efficient Post-Training for LEGO Spatial-Physics Reasoning
Reachability and asymptotics of Gaussian Transformer dynamics
Repetition Mismatch: Why Data Mixture Experiments Don't Scale and How to Fix Them
VisualLeakBench: Reproducible Action-Boundary Propagation Failures in Vision-Language Age…
MedicalRec: Medical recommender system for image classification without retraining
Concerns and Strategic Responses of Older Workers Navigating Generative AI in Bridge Empl…
Self-Explainability in Self-Adaptive and Self-Organising Systems: Status and Research Dir…
From Rigid to Dynamic: Entropy-Guided Adaptive Inference for Long-Context LLMs
LLM-Orchestrated Conformance Checking in Stroke Care Without Computer-Interpretable Guide…
TheoremBench: Evaluating LLMs on Theorem Proving in Formal Mathematics
Bayesian Selective Latent Inference for Wastewater-First Influenza Monitoring
From Coarse to Fine: Managing Temporal Granularity in Spatio-Temporal Data for Fine-Grain…
Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs
Leveraging Structural Constraints for Diffusion-based Neural TSP Solvers
Anything2Skill: Compiling External Knowledge into Reusable Skills for Agents