General-Science
Liars' Bench: Evaluating Lie Detectors for Language Models
MamTiff-CAD: Multi-Scale Latent Diffusion with Mamba+ for Complex Parametric Sequence
Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight
Mathematical Framework for Custom Reward Functions in Job Application Evaluation using Reinforcement Learning
Mitigating Shared Storage Congestion Using Control Theory
MRI Super-Resolution with Deep Learning: A Comprehensive Survey
Multi-Agent Collaborative Reward Design for Enhancing Reasoning in Reinforcement Learning
Multidimensional Rubric-oriented Reward Model Learning via Geometric Projection Reference Constraints
MUSEKG: A Knowledge Graph Over Museum Collections
ODE-ViT: Plug & Play Attention Layer from the Generalization of the ViT as an Ordinary Differential Equation
Online Operator Design in Evolutionary Optimization for Flexible Job Shop Scheduling via Large Language Models
OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
Operon: Incremental Construction of Ragged Data via Named Dimensions
PersonaDrift: A Benchmark for Temporal Anomaly Detection in Language-Based Dementia Monitoring
Pharos-ESG: A Framework for Multimodal Parsing, Contextual Narration, and Hierarchical Labeling of ESG Report
Physically Realistic Sequence-Level Adversarial Clothing for Robust Human-Detection Evasion
Physics-Guided Inductive Spatiotemporal Kriging for PM2.5 with Satellite Gradient Constraints
Physics-Informed Machine Learning for Efficient Sim-to-Real Data Augmentation in Micro-Object Pose Estimation
Revisiting Fairness-aware Interactive Recommendation: Item Lifecycle as a Control Knob
Revisiting Multimodal KV Cache Compression: A Frequency-Domain-Guided Outlier-KV-Aware Approach
Robot Metacognition: Decision Making with Confidence for Tool Invention
SAM 3D: 3Dfy Anything in Images