Learning to Generate Answers with Citations via Factual Consistency Models

19 June 2024

Papers citing "Learning to Generate Answers with Citations via Factual Consistency Models"

6 / 6 papers shown

Title
TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification Junnan Zhu Min Xiao Yining Wang Feifei Zhai Yu Zhou Chengqing Zong 55 0 0 19 Mar 2025
MCiteBench: A Benchmark for Multimodal Citation Text Generation in MLLMs Caiyu Hu Yikai Zhang Tinghui Zhu Yiwei Ye Yanghua Xiao 81 0 0 04 Mar 2025
Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution K. Li Tianhua Zhang Yunxiang Li Hongyin Luo Abdalla Moustafa Xixin Wu James Glass H. Meng 59 0 0 03 Mar 2025
QUILL: Quotation Generation Enhancement of Large Language Models Jin Xiao Bowei Zhang Qianyu He Jiaqing Liang Feng Wei Jinglei Chen Zujie Liang Deqing Yang Yanghua Xiao HILM LRM 101 0 0 21 Feb 2025
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Akari Asai Zeqiu Wu Yizhong Wang Avirup Sil Hannaneh Hajishirzi RALM 147 600 0 17 Oct 2023
RAFT: A Real-World Few-Shot Text Classification Benchmark Neel Alex Eli Lifland Lewis Tunstall A. Thakur Pegah Maham ... Carolyn Ashurst Paul Sedille A. Carlier M. Noetel Andreas Stuhlmuller RALM 173 56 0 28 Sep 2021