Accurate, provable and fast polychromatic tomographic reconstruction: A variational inequality approach
Accurate, provable and fast polychromatic tomographic reconstruction: A variational inequality approach
Accurate, provable and fast polychromatic tomographic reconstruction: A variational inequality approach
Localized Graph-Based Neural Dynamics Models for Terrain Manipulation
BitHEP -- The Limits of Low-Precision ML in HEP
HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Predictive AI with External Knowledge Infusion: Datasets and Benchmarks for Stock Markets
Geospatial Representation Learning: A Survey from Deep Learning to The LLM Era
LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data
Intrinsic Self-Correction in LLMs: Towards Explainable Prompting via Mechanistic Interpretability
Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation
Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation
Neural-Augmented Kelvinlet for Real-Time Soft Tissue Deformation Modeling
Complexity of normalized stochastic first-order methods with momentum under heavy-tailed noise
Robust Short-Term OEE Forecasting in Industry~4.0 via Topological Data Analysis
OrbitChain: Orchestrating In-orbit Real-time Analytics of Earth Observation Data
AUDETER: A Large-scale Dataset for Deepfake Audio Detection in Open Worlds
Code2MCP: Transforming Code Repositories into MCP Services
Synthetic Homes: An Accessible Multimodal Pipeline for Producing Residential Building Data with Generative AI
Is In-Context Learning Learning?
TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding
HEART: Emotionally-Driven Test-Time Scaling of Language Models
GeoPurify: A Data-Efficient Geometric Distillation Framework for Open-Vocabulary 3D Segmentation
Long-Term Mapping of the Douro River Plume with Multi-Agent Reinforcement Learning
Constructive Distortion: Improving MLLMs with Attention-Guided Image Warping
HyperAIRI: a plug-and-play algorithm for precise hyperspectral image reconstruction in radio interferometry
Learning under Quantization for High-Dimensional Linear Regression
Conformal Prediction for Compositional Data
CostNav: A Navigation Benchmark for Real-World Economic-Cost Evaluation of Physical AI Agents
The Specification Trap: Why Content-Based AI Value Alignment Cannot Produce Robust Alignment
CoRe3D: Collaborative Reasoning as a Foundation for 3D Intelligence
SecureCode: A Production-Grade Multi-Turn Dataset for Training Security-Aware Code Generation Models
Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning
Autoregressive Ranking: Bridging the Gap Between Dual and Cross Encoders
Active Evaluation of General Agents: Problem Definition and Comparison of Baseline Algorithms
Efficient Causal Structure Learning via Modular Subgraph Integration
Scaling Embeddings Outperforms Scaling Experts in Language Models
Risk Awareness Injection: Calibrating Vision-Language Models for Safety without Compromising Utility
OAT: Ordered Action Tokenization
Do physics-informed neural networks (PINNs) need to be deep? Shallow PINNs using the Levenberg-Marquardt algorithm
Reinforcement Inference: Leveraging Uncertainty for Self-Correcting Language Model Reasoning
Empirically Understanding the Value of Prediction in Allocation
Learning the Value Systems of Societies with Preference-based Multi-objective Reinforcement Learning
Learning to Coordinate via Quantum Entanglement in Multi-Agent Reinforcement Learning
On the Optimal Reasoning Length for RL-Trained Language Models
AlignTune: Modular Toolkit for Post-Training Alignment of Large Language Models
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
List of 25 developer tools with productivity focus. Tangentially relevant due to AI tag but lacks specific AI/ML depth.
Game dev toolkit using AI to automate asset creation, reducing time by 70%. Shows practical LLM/AI application for developers.
Tutorial on building RAG systems. Foundational guide for combining retrieval with generation, core pattern for LLM applications.
Explains why AI system outputs require validation despite appearing correct. Covers validation patterns for LLM-based systems.