Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
cs.AI, cs.CL, cs.LG
Submitted: 2025-06-21
Updated: 2026-10-11
Code: https://github.com/kkkevinkkkkk/CitePretrain
Terminology
Sources
- Generative Retrieval with Few-shot Indexing
- CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation
- SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
- Rethinking with Retrieval: Faithful Large Language Model Inference
- Training Language Models to Generate Text with Citations via Fine-grained Rewards
- HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution
- UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models
- Teaching language models to support answers with verified quotes
- WebGPT: Browser-assisted question-answering with human feedback
- How Context Affects Language Models' Factual Predictions
- The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus
- A Survey of Query Optimization in Large Language Models
- SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation
- Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity
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