Co-occurring keywords · papers mentioning both
Papers
Reward Model Perspectives: Whose Opinions Do Reward Models Reward?
EMNLP 2025
Scaling Autonomous Agents via Automatic Reward Modeling And Planning
ICLR 2025
Self-Generated Critiques Boost Reward Modeling for Language Models
NAACL 2025
Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback
AAAI 2025
Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data?
ACL 2025
SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks
EMNLP 2025
Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
ICLR 2025
SynthesizeMe! Inducing Persona-Guided Prompts for Personalized Reward Models in LLMs
ACL 2025
Team XSZ at BioLaySumm2025: Section-Wise Summarization, Retrieval-Augmented LLM, and Reinforcement Learning Fine-Tuning for Lay Summaries
ACL 2025
The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards
AAAI 2025
The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems
ACL 2025
Think&Cite: Improving Attributed Text Generation with Self-Guided Tree Search and Progress Reward Modeling
ACL 2025
Towards Medical Complex Reasoning with LLMs through Medical Verifiable Problems
ACL 2025
Unfamiliar Finetuning Examples Control How Language Models Hallucinate
NAACL 2025
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF
ICLR 2025
VerIF: Verification Engineering for Reinforcement Learning in Instruction Following
EMNLP 2025
ViLBench: A Suite for Vision-Language Process Reward Modeling
EMNLP 2025
Visualising Policy-Reward Interplay to Inform Zeroth-Order Preference Optimisation of Large Language Models
ACL 2025
VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward Models
ICCV 2025
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation
NeurIPS 2024
A General Theoretical Paradigm to Understand Learning from Human Preferences
AISTATS 2024
ALaRM: Align Language Models via Hierarchical Rewards Modeling
ACL 2024
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback
NAACL 2024
Aligning Large Language Models via Fine-grained Supervision
ACL 2024
Aligning to Thousands of Preferences via System Message Generalization
NeurIPS 2024