General-Science
LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation
Logit-Based Losses Limit the Effectiveness of Feature Knowledge Distillation
LSP-YOLO: A Lightweight Single-Stage Network for Sitting Posture Recognition on Embedded Devices
MacLaurin and Morality
Making Evidence Actionable in Adaptive Learning
Masked IRL: LLM-Guided Reward Disambiguation from Demonstrations and Language
MermaidSeqBench: An Evaluation Benchmark for LLM-to-Mermaid Sequence Diagram Generation
MiAD: Mirage Atom Diffusion for De Novo Crystal Generation
MissHDD: Hybrid Deterministic Diffusion for Hetrogeneous Incomplete Data Imputation
MRI Embeddings Complement Clinical Predictors for Cognitive Decline Modeling in Alzheimer's Disease Cohorts
MRI Plane Orientation Detection using a Context-Aware 2.5D Model
Multi-Scale Correlation-Aware Transformer for Maritime Vessel Re-Identification
Multi-view Phase-aware Pedestrian-Vehicle Incident Reasoning Framework with Vision-Language Models
Near-Lossless Model Compression Enables Longer Context Inference in DNA Large Language Models
NeuralSSD: A Neural Solver for Signed Distance Surface Reconstruction
NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval
nnterp: A Standardized Interface for Mechanistic Interpretability of Transformers
NORA-1.5: A Vision-Language-Action Model Trained using World Model- and Action-based Preference Rewards
On-Premise SLMs vs. Commercial LLMs: Prompt Engineering and Incident Classification in SOCs and CSIRTs
Operationalizing Pluralistic Values in Large Language Model Alignment Reveals Trade-offs in Safety, Inclusivity, and Model Behavior
PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models
PolyKAN: Efficient Fused GPU Operators for Polynomial Kolmogorov-Arnold Network Variants