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conftrace_

direct preference optimization

427 papers

DPO

Papers

Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models ACL 2025 Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs ICLR 2025 MDPO: Customized Direct Preference Optimization with a Metric-based Sampler for Question and Answer Generation COLING 2025 Measuring memorization in RLHF for code completion ICLR 2025 MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time NAACL 2025 MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs ICLR 2025 MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models ICLR 2025 Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization ACL 2025 Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key CVPR 2025 MM-IFEngine: Towards Multimodal Instruction Following ICCV 2025 Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity ICLR 2025 Model Extrapolation Expedites Alignment ACL 2025 Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning ICLR 2025 MPO: Multilingual Safety Alignment via Reward Gap Optimization ACL 2025 MPPO: Multi Pair-wise Preference Optimization for LLMs with Arbitrary Negative Samples COLING 2025 MuCAL: Contrastive Alignment for Preference-Driven KG-to-Text Generation EMNLP 2025 Multimodal Large Language Model-Guided ISP Hyperparameter Optimization with Dynamic Preference Learning ICCV 2025 Multi-Reference Preference Optimization for Large Language Models AAAI 2025 MWPO: Enhancing LLMs Performance through Multi-Weight Preference Strength and Length Optimization ACL 2025 NHK Submission to WAT 2025: Leveraging Preference Optimization for Article-level Japanese–English News Translation AACL 2025 Nine Ways to Break Copyright Law and Why Our LLM Won’t: A Fair Use Aligned Generation Framework EMNLP 2025 Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization COLING 2025 OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference ACL 2025 Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization ACL 2025 Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System ACL 2025