General-Science
Learning When Not to Attend Globally
Memento 2: Learning by Stateful Reflective Memory
Nightjar: Dynamic Adaptive Speculative Decoding for Large Language Models Serving
RollArt: Scaling Agentic RL Training via Disaggregated Infrastructure
Scaling Unverifiable Rewards: A Case Study on Visual Insights
SuperiorGAT: Graph Attention Networks for Sparse LiDAR Point Cloud Reconstruction in Autonomous Systems
TravelBench: A Broader Real-World Benchmark for Multi-Turn and Tool-Using Travel Planning
Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains
A Unified AI, Embedded, Simulation, and Mechanical Design Approach to an Autonomous Delivery Robot
Agent2World: Learning to Generate Symbolic World Models via Adaptive Multi-Agent Feedback
Attack-Aware Deepfake Detection under Counter-Forensic Manipulations
Balancing Accuracy and Efficiency: CNN Fusion Models for Diabetic Retinopathy Screening
Beyond Single Bugs: Benchmarking Large Language Models for Multi-Vulnerability Detection
BLISS: Bandit Layer Importance Sampling Strategy for Efficient Training of Graph Neural Networks
Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content?
Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration
CricBench: A Multilingual Benchmark for Evaluating LLMs in Cricket Analytics
Efficient Multi-Model Orchestration for Self-Hosted Large Language Models
Expert System for Bitcoin Forecasting: Integrating Global Liquidity via TimeXer Transformers
Flexible Multitask Learning with Factorized Diffusion Policy
Flow morphology and patterns in porous media convection: A persistent homology analysis
HeartBench: Probing Core Dimensions of Anthropomorphic Intelligence in LLMs