Beyond Math and Code: Lightweight Corpus-Grounded Process Rewards for Factual Question Answering
cs.CL
Submitted: 2026-05-28
Updated: 2026-09-26
Comments: 28 pages, 7 figures. Code: https://github.com/shichengf/CorVer
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Learning to Reason for Factuality
- SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems
- Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
- QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation
- Stop Rewarding Hallucinated Steps: Faithfulness-Aware Step-Level Reinforcement Learning for Small Reasoning Models
- KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality
- Measuring short-form factuality in large language models
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