RewardExplainer: Learning Reward Model Explanations from Counterfactual Preference Feedback
cs.CL, cs.LG
Submitted: 2026-09-27
Updated: 2026-09-27
Terminology
Sources
- RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
- RLHF Workflow: From Reward Modeling to Online RLHF
- GPT-4o System Card
- Interpreting Language Reward Models via Contrastive Explanations
- Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
- HARVE: Hacking-Aware Reward-Head Vector Editing for Robust Reward Models
- RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals
- SAFER: Probing Safety in Reward Models with Sparse Autoencoder
- Gemma 4 Technical Report
- Automatically Finding Reward Model Biases
- Qwen3 Technical Report
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
- Toward Robust LLM-Based Judges: Taxonomic Bias Evaluation and Debiasing Optimization
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