Papers
-
When Learning Rates Go Wrong: Early Structural Signals in PPO Actor-Critic
-
Leveraging whole slide difficulty in Multiple Instance Learning to improve prostate cancer gradingInstitut Polytechnique de Paris
-
From Semantics to Pixels: Coarse-to-Fine Masked Autoencoders for Hierarchical Visual UnderstandingPeking University, Peng Cheng Laboratory, University of Chinese Academy of Sciences
-
Think Before You Lie: How Reasoning Improves Honesty
-
TinyNav: End-to-End TinyML for Real-Time Autonomous Navigation on MicrocontrollersQueen’s University
-
BEACON: Language-Conditioned Navigation Affordance Prediction under OcclusionDelft University of Technology
-
Emotional Modulation in Swarm Decision DynamicsUniversity of Las Palmas de Gran Canaria
-
Understanding the Use of a Large Language Model-Powered Guide to Make Virtual Reality Accessible for Blind and Low Vision PeopleCornell University
-
CREATE: Testing LLMs for Associative CreativityNew York University, University of Texas
-
From Data Statistics to Feature Geometry: How Correlations Shape SuperpositionImperial College London
-
Hardware Efficient Approximate Convolution with Tunable Error Tolerance for CNNsIndian Institute of Technology Guwahati
-
Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon FluxesUniversity of Minnesota
-
CLIPO: Contrastive Learning in Policy Optimization Generalizes RLVR
-
Lost in the Middle at Birth: An Exact Theory of Transformer Position Bias
-
4DEquine: Disentangling Motion and Appearance for 4D Equine Reconstruction from Monocular VideoSouthern University of Science and Technology, The University of Hong Kong, Tsinghua University
-
AR-VLA: True Autoregressive Action Expert for Vision-Language-Action ModelsKU Leuven, Sofia University
-
HG-Lane: High-Fidelity Generation of Lane Scenes under Adverse Weather and Lighting Conditions without Re-annotationChinese Academy of Sciences, Henan University, Nanyang Technological University, University of Science and Technology of China
-
The Prediction-Measurement Gap: Toward Meaning Representations as Scientific InstrumentsIDEAS Research Institute
-
Unbalanced Optimal Transport Dictionary Learning for Unsupervised Hyperspectral Image ClusteringTufts University, University of California
-
Agentic Control Center for Data Product Optimization
-
The Generation-Recognition Asymmetry: Six Dimensions of a Fundamental Divide in Formal Language Theory
-
Reason and Verify: A Framework for Faithful Retrieval-Augmented GenerationCentre de recherche informatique de Montréal, Concordia University
-
Lost in Backpropagation: The LM Head is a Gradient BottleneckCornell University
-
Social Knowledge for Cross-Domain User Preference ModelingBen-Gurion University of the Negev, University of Haifa
-
A neural operator for predicting vibration frequency response curves from limited dataFlorida International University, New Mexico State University
-
OA-NBV: Occlusion-Aware Next-Best-View Planning for Human-Centered Active Perception on Mobile RobotsJohns Hopkins University, University of South Florida
-
Mashup Learning: Faster Finetuning by Remixing Past Checkpoints
-
ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning
-
Compatibility at a Cost: Systematic Discovery and Exploitation of MCP Clause-Compliance VulnerabilitiesUniversity of Minnesota
-
Calibration-Reasoning Framework for Descriptive Speech Quality Assessment
-
Video-Based Reward Modeling for Computer-Use AgentsAmazon / Mohamed bin Zayed University of Artificial Intelligence, University of Southern California, University of Washington
-
DT-BEHRT: Disease Trajectory-aware Transformer for Interpretable Patient Representation LearningUniversity of Florida, University of Kansas, University of South Florida
-
Stability and Robustness via Regularization: Bandit Inference via Regularized Stochastic Mirror DescentIndian Statistical Institute, Rutgers University
-
ARCHE: Autoregressive Residual Compression with Hyperprior and ExcitationIonian University, University of Patras
-
MCP-in-SoS: Risk assessment framework for open-source MCP serversNew Mexico State University, University of Hartford
-
Adaptive Activation Cancellation for Hallucination Mitigation in Large Language ModelsCalifornia Polytechnic State University, Dakota State University, North Carolina Agricultural and Technical State University, South Carolina State University, University of Idaho
-
Actor-Accelerated Policy Dual Averaging for Reinforcement Learning in Continuous Action SpacesGeorgia Institute of Technology
-
Hybrid Hidden Markov Model for Modeling Equity Excess Growth Rate Dynamics: A Discrete-State Approach with Jump-DiffusionCornell University
-
GPU-Accelerated Genetic Programming for Symbolic Regression with Beagle FrameworkMichigan State University, Noblis
-
Flexible Cutoff Learning: Optimizing Machine Learning Potentials After TrainingFraunhofer Institute for Algorithms and Scientific Computing, University of Bonn
-
Delta-K: Boosting Multi-Instance Generation via Cross-Attention AugmentationNanjing University, Sun Yat-sen University, Tianjin University
-
ViDia2Std: A Parallel Corpus and Methods for Low-Resource Vietnamese Dialect-to-Standard TranslationUniversity of Information Technology, Vietnam National University
-
FusionNet: a frame interpolation network for 4D heart modelsKyushu University, Okayama University, Orebro University
-
Sabiá-4 Technical Report
-
SDSR: A Spectral Divide-and-Conquer Approach for Species Tree ReconstructionTel Aviv University, The Hebrew University of Jerusalem, Weizmann Institute of Science
-
An Automated Radiomics Framework for Postoperative Survival Prediction in Colorectal Liver Metastases using Preoperative MRICairo University, Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University College London, University of Toronto
-
Multilingual AI-Driven Password Strength Estimation with Similarity-Based DetectionUniversity of London
-
A Diffusion Analysis of Policy Gradient for Stochastic Bandits
-
Robotic Ultrasound Makes CBCT AliveMunich Center for Machine Learning, Technical University of Munich, The University of Hong Kong
-
Unifying Logical and Physical Layout Representations via Heterogeneous Graphs for Circuit Congestion PredictionUniversity of Texas
MongoDB - Build AI That Scales
