Author

Anh Tuan Luu

MIT

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Preprint Nov 2026

Objective-Conditioned Active Preference Learning for Multi-Objective Alignment

Aligning large language models (LLMs) with several objectives, such as helpfulness, harmlessness, and honesty, typically relies on preference judgment for each objective, growing the annotation cost linearly with the number of objectives. Active preference learning can reduce this cost by selecting the comparisons whos...

Duc Anh Vu, T. Nguyen, Hoang Pham et al. · 0 citations

Preprint Aug 2026

MatReplace: A Reference-Free, Conditioning-Aligned Benchmark for Material Replacement in Interior Scenes

Material replacement is a common interior-design operation: changing the material of a selected surface while preserving its geometry, surroundings, and illumination. Despite its commercial relevance, no public benchmark isolates this task, and evaluating it is challenging. Reference-based metrics penalize valid output...

Ming-Zhe Du, T. Nguyen, Nguyen Tran Cong Duy et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Reinforcing Step-level Reasoning for Effective Self-Correction in LLMs

Comprehensive in-domain and out-of-domain evaluations across multiple LLMs demonstrate that SFS-DPO and SFS-DPO-R consistently outperform prior step-level training baselines and reveal improvements in self-correction frequency and effectiveness.

Duc Anh Vu, Nhat M. Hoang, Do-Xuan Long et al. · 1 citation