Co-occurring keywords · papers mentioning both
Papers
RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services
EMNLP 2025
Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up
ACL 2025
RewardBench: Evaluating Reward Models for Language Modeling
NAACL 2025
Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift
ICML 2025
Robust Preference Optimization via Dynamic Target Margins
ACL 2025
RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization
ACL 2025
RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data
AAAI 2025
RPO: Retrieval Preference Optimization for Robust Retrieval-Augmented Generation
ACL 2025
R-PRM: Reasoning-Driven Process Reward Modeling
EMNLP 2025
R-TOFU: Unlearning in Large Reasoning Models
EMNLP 2025
Sail into the Headwind: Alignment via Robust Rewards and Dynamic Labels against Reward Hacking
ICLR 2025
Sakura at SemEval-2025 Task 2: Enhancing Named Entity Translation with Fine-Tuning and Preference Optimization
SemEval 2025
SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading
EMNLP 2025
SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models
EMNLP 2025
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
ICML 2025
Self-Consistency Preference Optimization
ICML 2025
Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization
AAAI 2025
Self-Improving Robust Preference Optimization
ICLR 2025
Self-Play Preference Optimization for Language Model Alignment
ICLR 2025
Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models
ACL 2025
Self-Taught Agentic Long Context Understanding
ACL 2025
Sentimatic: Sentiment-guided Automatic Generation of Preference Datasets for Customer Support Dialogue System
NAACL 2025
Sequence-level Large Language Model Training with Contrastive Preference Optimization
NAACL 2025
Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback
AAAI 2025
Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling
AAAI 2025