Retrieval-augmented Decoding for Improving Truthfulness in Open-ended Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Manh, Gupta, Sunil, Le, Hung |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GRAD: Graph-Retrieved Adaptive Decoding for Hallucination Mitigation
by: Nguyen, Manh, et al.
Published: (2025)
by: Nguyen, Manh, et al.
Published: (2025)
Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
by: Nguyen, Manh, et al.
Published: (2025)
by: Nguyen, Manh, et al.
Published: (2025)
Distance Is All You Need: Radial Dispersion for Uncertainty Estimation in Large Language Models
by: Nguyen, Manh, et al.
Published: (2025)
by: Nguyen, Manh, et al.
Published: (2025)
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning
by: Le, Hung, et al.
Published: (2024)
by: Le, Hung, et al.
Published: (2024)
Hybrid Cross-domain Robust Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025)
by: Van, Linh Le Pham, et al.
Published: (2025)
Uncertainty-Guided Checkpoint Selection for Reinforcement Finetuning of Large Language Models
by: Nguyen, Manh, et al.
Published: (2025)
by: Nguyen, Manh, et al.
Published: (2025)
SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning
by: Do, Dai, et al.
Published: (2025)
by: Do, Dai, et al.
Published: (2025)
Federated Domain Generalization with Latent Space Inversion
by: Palakkadavath, Ragja, et al.
Published: (2025)
by: Palakkadavath, Ragja, et al.
Published: (2025)
DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025)
by: Van, Linh Le Pham, et al.
Published: (2025)
High Dimensional Bayesian Optimization using Lasso Variable Selection
by: Hoang, Vu Viet, et al.
Published: (2025)
by: Hoang, Vu Viet, et al.
Published: (2025)
Uncertainty-Aware Budget Allocation for Adaptive Test-Time Reasoning
by: Nguyen, Manh, et al.
Published: (2026)
by: Nguyen, Manh, et al.
Published: (2026)
Beyond Majority Voting: Efficient Best-Of-N with Radial Consensus Score
by: Nguyen, Manh, et al.
Published: (2026)
by: Nguyen, Manh, et al.
Published: (2026)
Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques
by: Dao, Manh Cuong, et al.
Published: (2025)
by: Dao, Manh Cuong, et al.
Published: (2025)
Policy Learning for Off-Dynamics RL with Deficient Support
by: Van, Linh Le Pham, et al.
Published: (2024)
by: Van, Linh Le Pham, et al.
Published: (2024)
Graph Contrastive Learning via Spectral Graph Alignment
by: Nguyen, Manh
Published: (2025)
by: Nguyen, Manh
Published: (2025)
A Mixture of Experts Vision Transformer for High-Fidelity Surface Code Decoding
by: Nguyen, Hoang Viet, et al.
Published: (2026)
by: Nguyen, Hoang Viet, et al.
Published: (2026)
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer
by: Nguyen, Minh Hoang, et al.
Published: (2025)
by: Nguyen, Minh Hoang, et al.
Published: (2025)
ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge
by: Dao, Manh Cuong, et al.
Published: (2025)
by: Dao, Manh Cuong, et al.
Published: (2025)
Causal-Aware Generative Adversarial Networks with Reinforcement Learning
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)
Neurosymbolic Retrievers for Retrieval-augmented Generation
by: Saxena, Yash, et al.
Published: (2026)
by: Saxena, Yash, et al.
Published: (2026)
Beyond Surprise: Improving Exploration Through Surprise Novelty
by: Le, Hung, et al.
Published: (2023)
by: Le, Hung, et al.
Published: (2023)
Causal Discovery via Bayesian Optimization
by: Duong, Bao, et al.
Published: (2025)
by: Duong, Bao, et al.
Published: (2025)
Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior
by: Ngo, Giang, et al.
Published: (2024)
by: Ngo, Giang, et al.
Published: (2024)
Meta-Learning from Learning Curves for Budget-Limited Algorithm Selection
by: Nguyen, Manh Hung, et al.
Published: (2024)
by: Nguyen, Manh Hung, et al.
Published: (2024)
Generating Realistic Tabular Data with Large Language Models
by: Nguyen, Dang, et al.
Published: (2024)
by: Nguyen, Dang, et al.
Published: (2024)
Bayesian Optimistic Optimisation with Exponentially Decaying Regret
by: Tran-The, Hung, et al.
Published: (2021)
by: Tran-The, Hung, et al.
Published: (2021)
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization
by: Tran-The, Hung, et al.
Published: (2019)
by: Tran-The, Hung, et al.
Published: (2019)
Improving Diversity in Black-box Few-shot Knowledge Distillation
by: Vo, Tri-Nhan, et al.
Published: (2026)
by: Vo, Tri-Nhan, et al.
Published: (2026)
Decoding the Critique Mechanism in Large Reasoning Models
by: Phan, Hoang, et al.
Published: (2026)
by: Phan, Hoang, et al.
Published: (2026)
Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
by: Shen, William F., et al.
Published: (2026)
by: Shen, William F., et al.
Published: (2026)
PINN-BO: A Black-box Optimization Algorithm using Physics-Informed Neural Networks
by: Phan-Trong, Dat, et al.
Published: (2024)
by: Phan-Trong, Dat, et al.
Published: (2024)
Retrieval-augmented GUI Agents with Generative Guidelines
by: Xu, Ran, et al.
Published: (2025)
by: Xu, Ran, et al.
Published: (2025)
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study
by: Stolfo, Alessandro
Published: (2024)
by: Stolfo, Alessandro
Published: (2024)
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
by: Tran-The, Hung, et al.
Published: (2022)
by: Tran-The, Hung, et al.
Published: (2022)
Nonnegative Matrix Factorization through Cone Collapse
by: Nguyen, Manh, et al.
Published: (2025)
by: Nguyen, Manh, et al.
Published: (2025)
Boosting Offline Optimizers with Surrogate Sensitivity
by: Dao, Manh Cuong, et al.
Published: (2025)
by: Dao, Manh Cuong, et al.
Published: (2025)
Diffusion-Inspired Reconfiguration of Transformers for Uncertainty Calibration
by: Dao, Manh Cuong, et al.
Published: (2026)
by: Dao, Manh Cuong, et al.
Published: (2026)
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective
by: Zeng, Shenglai, et al.
Published: (2024)
by: Zeng, Shenglai, et al.
Published: (2024)
LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval
by: Gupta, Nilesh, et al.
Published: (2025)
by: Gupta, Nilesh, et al.
Published: (2025)
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval
by: Kumar, Ramnath, et al.
Published: (2023)
by: Kumar, Ramnath, et al.
Published: (2023)
Similar Items
-
GRAD: Graph-Retrieved Adaptive Decoding for Hallucination Mitigation
by: Nguyen, Manh, et al.
Published: (2025) -
Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
by: Nguyen, Manh, et al.
Published: (2025) -
Distance Is All You Need: Radial Dispersion for Uncertainty Estimation in Large Language Models
by: Nguyen, Manh, et al.
Published: (2025) -
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning
by: Le, Hung, et al.
Published: (2024) -
Hybrid Cross-domain Robust Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025)