A governance horizon for ethical-use constraints in open-weight AI models
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Distilling Game Code World Model Generation into Lightweight Large Language Models
Kolmogorov-Arnold Fourier Networks
Methodology for Creating a Clinically Verified Dermoscopic Image Dataset
Optimizing Sensor Placement for Flow Reconstruction in Urban Drainage Networks: A Digital…
JudgmentBench: Comparing Rubric and Preference Evaluation for Quality Assessment
Guess the Unified Model: How Much Can We Recover from Generated Images?
Eureka: Intelligent Feature Engineering for Enterprise AI Cloud Resource Demand Prediction
Second Guess: Detecting Uncertainty Through Abstention and Answer Stability in Small Lang…
SomaliBench Eval: Measuring English-to-Somali Refusal Gaps in Open-Weight Language Models
Chain-of-Thought Hijacking
Meta-Agent: From Task Descriptions to Verified Multi-Agent Systems
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based …
Test-Time Self-Adaptive Conditioning for Stable Audio-Driven Talking-Head Generation
TopoAlign: Topology-Aware Visual Representation Alignment
NeurIPS: Neuro-anatomical Inductive Priors for Sphere-based Brain Decoding
Efficient Preference Poisoning Attack on Offline RLHF
Extreme Region Policy Distillation
Aes3D: Aesthetic Assessment in 3D Gaussian Splatting
Towards the Connection between Activation Sparsity and Flat Minima
Self-supervised Hierarchical Visual Reasoning with World Model
Gated Relational Alignment via Confidence-based Distillation for Efficient VLMs
BoxLitE: A Faithful Knowledge Base Embedding Based on Convex Optimization
When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judg…
SoK: DARPA's AI Cyber Challenge (AIxCC): Competition Design, Architectures, and Lessons L…
StakeBench: Evaluating Language Understanding Grounded in Market Commitment
Operationalizing Reconstructive Authority: Runtime Construction, Dependency Resolution, a…
BODHI: Precise OS Kernel Specification Inference
Conditional KRR: Injecting Unpenalized Features into Kernel Methods with Applications to …
Reducing Credit Assignment Variance via Counterfactual Reasoning Paths