Copertina

Rethinking Deep Alignment Through The Lens Of Incomplete Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bach, Thong, Nguyen, Dung, Le, Thao Minh, Tran, Truyen
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Continual Safety Alignment via Gradient-Based Sample Selection
di: Bach, Thong, et al.
Pubblicazione: (2026)

Curvature-Aware Safety Restoration In LLMs Fine-Tuning
di: Bach, Thong, et al.
Pubblicazione: (2025)

Guardrails in Logit Space: Safety Token Regularization for LLM Alignment
di: Bach, Thong, et al.
Pubblicazione: (2026)

Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models
di: Le, Quang-Hung, et al.
Pubblicazione: (2024)

Revisiting the Dataset Bias Problem from a Statistical Perspective
di: Do, Kien, et al.
Pubblicazione: (2024)

MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecasting
di: Nguyen, Thang, et al.
Pubblicazione: (2024)

Learning Structural Causal Models from Ordering: Identifiable Flow Models
di: Le, Minh Khoa, et al.
Pubblicazione: (2024)

Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory
di: Le, Hung, et al.
Pubblicazione: (2024)

Finding the Trigger: Causal Abductive Reasoning on Video Events
di: Le, Thao Minh, et al.
Pubblicazione: (2025)

Rethinking Cross-Modal Fine-Tuning: Optimizing the Interaction Between Feature Alignment and Target Fitting
di: Tran, Trong Khiem, et al.
Pubblicazione: (2026)

A Framework for Controllable Multi-objective Learning with Annealed Stein Variational Hypernetworks
di: Nguyen, Minh-Duc, et al.
Pubblicazione: (2025)

Eigenvectors of Experts are Training-free Non-collapsing Routers
di: Do, Giang, et al.
Pubblicazione: (2026)

ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge
di: Dao, Manh Cuong, et al.
Pubblicazione: (2025)

Robust SDE Parameter Estimation Under Missing Time Information Setting
di: Van Tran, Long, et al.
Pubblicazione: (2026)

Planner-Refiner: Dynamic Space-Time Refinement for Vision-Language Alignment in Videos
di: Tran, Tuyen, et al.
Pubblicazione: (2025)

ChargeFlow: Flow-Matching Refinement of Charge-Conditioned Electron Densities
di: Nguyen, Tri Minh, et al.
Pubblicazione: (2026)

Adaptive multi-gradient methods for quasiconvex vector optimization and applications to multi-task learning
di: Minh, Nguyen Anh, et al.
Pubblicazione: (2024)

Optimizing Electric Vehicle Charging Station Placement Using Reinforcement Learning and Agent-Based Simulations
di: Nguyen, Minh-Duc, et al.
Pubblicazione: (2025)

Generalized Sobolev Transport for Probability Measures on a Graph
di: Le, Tam, et al.
Pubblicazione: (2024)

Optimal Transport for Measures with Noisy Tree Metric
di: Le, Tam, et al.
Pubblicazione: (2023)

Towards Agentic AI for Multimodal-Guided Video Object Segmentation
di: Tran, Tuyen, et al.
Pubblicazione: (2025)

In silico study on the cytotoxicity against Hela cancer cells of xanthones bioactive compounds from Garcinia cowa: QSAR based on Graph Deep Learning, Network Pharmacology, and Molecular Docking
di: Son, Nguyen Manh, et al.
Pubblicazione: (2025)

Reviving Error Correction in Modern Deep Time-Series Forecasting
di: Nguyen, Minh Hoang, et al.
Pubblicazione: (2026)

On the Role of Discrete Representation in Sparse Mixture of Experts
di: Do, Giang, et al.
Pubblicazione: (2024)

Score-based Integrated Gradient for Root Cause Explanations of Outliers
di: Nguyen, Phuoc, et al.
Pubblicazione: (2026)

Scalable Sobolev IPM for Probability Measures on a Graph
di: Le, Tam, et al.
Pubblicazione: (2025)

Generalized Sobolev IPM for Graph-Based Measures
di: Le, Tam, et al.
Pubblicazione: (2025)

An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph
di: Le, Tam, et al.
Pubblicazione: (2025)

Beyond Surprise: Improving Exploration Through Surprise Novelty
di: Le, Hung, et al.
Pubblicazione: (2023)

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
di: Nguyen, Huu Hiep, et al.
Pubblicazione: (2026)

Unified Framework with Consistency across Modalities for Human Activity Recognition
di: Tran, Tuyen, et al.
Pubblicazione: (2024)

Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models
di: Hoang, Dung Anh, et al.
Pubblicazione: (2025)

Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks
di: Nguyen, Tri Minh, et al.
Pubblicazione: (2024)

FIBER: A Differentially Private Optimizer with Filter-Aware Innovation Bias Correction
di: Dm, Duc, et al.
Pubblicazione: (2026)

On Median of Incomplete U-Statistics
di: Hieu, Nong Minh
Pubblicazione: (2026)

BRIDGE: Budget-aware Reasoning via Intermediate Distillation with Guided Examples
di: Le, Xuan-An, et al.
Pubblicazione: (2025)

BOLD: Boolean Logic Deep Learning
di: Nguyen, Van Minh, et al.
Pubblicazione: (2024)

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning
di: Tran, Dung T., et al.
Pubblicazione: (2025)

AMEM4Rec: Leveraging Cross-User Similarity for Memory Evolution in Agentic LLM Recommenders
di: Nguyen, Minh-Duc, et al.
Pubblicazione: (2026)

Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks
di: Hoang, Thao, et al.
Pubblicazione: (2024)