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papers

Publications (57)

math.FA2023

Existence and uniqueness of limits at infinity for homogeneous Sobolev functions

Pekka Koskela, Khanh Nguyen

cs.CL2023

Hallucination Detection for Grounded Instruction Generation

Lingjun Zhao, Khanh Nguyen, Hal DaumÃ©

cs.CL2023

Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models

Lingjun Zhao, Khanh Nguyen, Hal DaumÃ©

cs.CC2026

Field Codes for Distributed Coupling Samplers and Certified Empirical Transport

Hung Mai, Hai Nguyen, Luong Doan +4

The paper studies how to communicate optimal transport information efficiently by encoding transport fields and adding sparse residuals, enabling exact-marginal sampling with prova…

Publications (57)

Existence and uniqueness of limits at infinity for homogeneous Sobolev functions

Hallucination Detection for Grounded Instruction Generation

Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models

Field Codes for Distributed Coupling Samplers and Certified Empirical Transport

RI-Mamba: Rotation-Invariant Mamba for Robust Text-to-Shape Retrieval

Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching

Posterior calibration and exploratory analysis for natural language processing models

Pressure and temperature dependence of fluorescence anisotropy of Green Fluorescent Protein

Global-Local Attention for Emotion Recognition

LeanFlow: A Case Study in Workflow-Driven Lean Autoformalization

NVIDIA Nemotron Nano V2 VL

Exceptional Sets for Quasiconformal Mappings in General Metric Spaces II

On Limits at Infinity of Weighted Sobolev Functions

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models

Progressively Efficient Learning

Large-scale behaviour of Sobolev functions in Ahlfors regular metric measure spaces

Existence and uniqueness of limits at infinity for bounded variation functions

Uncertainty-aware Label Distribution Learning for Facial Expression Recognition

Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning

Active Imitation Learning from Multiple Non-Deterministic Teachers: Formulation, Challenges, and Algorithms

Multi-Contact Force-Sensing Guitar for Training and Therapy

Federated Document Visual Question Answering: A Pilot Study

Lusin approximation for functions of bounded variation

Interactive Learning from Activity Description

Weak Harnack inequality and Cartan property for nonlocal $W^{s,1}$-minimizers

Imitation Learning with Recurrent Neural Networks

Scalable Semi-supervised Learning with Graph-based Kernel Machine

Improving Electrolyte Performance for Target Cathode Loading Using Interpretable Data-Driven Approach

Global Voices: Crossing Borders in Automatic News Summarization

Analogical-based Bayesian Optimization

Retrieving Objects from 3D Scenes with Box-Guided Open-Vocabulary Instance Segmentation

Thermodynamically consistent nonlinear viscoplastic formulation with well-conditioned recovery of the inviscid solution: Theory and implicit integration algorithm with exact solution for the linear case

Morphology, cell division, and viability of Saccharomyces cerevisiae at high hydrostatic pressure

Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention

Chemical Foundation Model Guided Design of High Ionic Conductivity Electrolyte Formulations

A time multiscale decomposition in cyclic elasto-plasticity

Language Models are Bounded Pragmatic Speakers: Understanding RLHF from a Bayesian Cognitive Modeling Perspective

On the network orientational affinity assumption in polymers and the micro-macro connection through the chain stretch

Toward Cost-efficient Adaptive Clinical Trials in Knee Osteoarthritis with Reinforcement Learning

On Deep Domain Adaptation: Some Theoretical Understandings

Sensory feedback in a bump attractor model of path integration

NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA

A time multiscale based data-driven approach in cyclic elasto-plasticity

Check Yourself Before You Wreck Yourself: Selectively Quitting Improves LLM Agent Safety

Privacy-Aware Document Visual Question Answering

Language-Guided World Models: A Model-Based Approach to AI Control

The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task

Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections

Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback

A General and Robust 3D Finite Element Dynamics Framework for Railway Vehicle-Bridge Interaction with Nonlinear Wheel-Rail Contact Modeling

A Framework for Learning to Request Rich and Contextually Useful Information from Humans

Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence

Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition

Show, Interpret and Tell: Entity-aware Contextualised Image Captioning in Wikipedia

Pre-processing Image using Brightening, CLAHE and RETINEX