activity
20222026
most citedThe complexity of unsupervised learning of lexicographic preferences

1 citations · 1 across the 11 of their papers we have counts for

collaborators
Showing cs.LGShow all

7 papers · 1 filter

cs.LG2026

Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards

Hieu Trung Nguyen, Bao Nguyen, Wenao Ma +3

Sampling efficiency is a key bottleneck in reinforcement learning with verifiable rewards. Existing group-based policy optimization methods, such as GRPO, allocate a fixed number o…

cs.LG2025

Reasoning Planning for Language Models

Bao Nguyen, Hieu Trung Nguyen, Ruifeng She +2

Selecting an appropriate reasoning method for a given query remains a key challenge in language model generation. Existing approaches typically generate multiple candidate response…

cs.LG2025

Probe-Free Low-Rank Activation Intervention

Chonghe Jiang, Bao Nguyen, Anthony Man-Cho So +1

Language models (LMs) can produce texts that appear accurate and coherent but contain untruthful or toxic content. Inference-time interventions that edit the hidden activations hav…

cs.LG2025

Distributional Surgery for Language Model Activations

Bao Nguyen, Binh Nguyen, Duy Nguyen +1

Language models, while capable of generating remarkably coherent and seemingly accurate text, can occasionally produce undesirable content, including harmful or toxic outputs. In t…

cs.LG2024

Generative Conditional Distributions by Neural (Entropic) Optimal Transport

Bao Nguyen, Binh Nguyen, Hieu Trung Nguyen +1

Learning conditional distributions is challenging because the desired outcome is not a single distribution but multiple distributions that correspond to multiple instances of the c…

cs.LG2024

Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation

Duy Nguyen, Bao Nguyen, Viet Anh Nguyen

Algorithmic recourse recommends a cost-efficient action to a subject to reverse an unfavorable machine learning classification decision. Most existing methods in the literature gen…

cs.LG2023

Efficient Failure Pattern Identification of Predictive Algorithms

Bao Nguyen, Viet Anh Nguyen

Given a (machine learning) classifier and a collection of unlabeled data, how can we efficiently identify misclassification patterns presented in this dataset? To address this prob…