🔗 Who cites «ChatQA: Surpassing GPT-4 on Conversational QA and RAG»

48 papers of our library cite it (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · ← back to «ChatQA: Surpassing GPT-4 on Conversational QA and RAG»

1. NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsarXiv:2405.17428Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 222 citations
2. Searching for Best Practices in Retrieval-Augmented GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaohua Wang, Zhenghua Wang, Xuan Gao, et al.2024 · 150 citations
3. RAFT: Adapting Language Model to Domain Specific RAGarXiv:2403.10131Tianjun Zhang, Shishir G. Patil, Naman Jain, et al.2024 · 137 citations
4. Nemotron-4 340B Technical ReportarXiv:2406.11704Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 107 citations
5. FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Qinggang Zhang, Zhishang Xiang, Yilin Xiao, et al.2025 · 27 citations
6. RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented InstructionsConference on Empirical Methods in Natural Language Processing (EMNLP)Wanlong Liu, Junying Chen, Ke Ji, et al.2025 · 19 citations
7. MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation SystemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nandan Thakur, Suleman Kazi, Ge Luo, et al.2025 · 15 citations
8. What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best PracticesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhi Chen, Qiguang Chen, Libo Qin, et al.2025 · 15 citations
9. MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought ReasoningarXiv:2505.20096Thang Nguyen, Peter Chin, Yu-Wing Tai2025 · 14 citations
10. ChatR1: Reinforcement Learning for Conversational Reasoning and Retrieval Augmented Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Simon Lupart, Mohammad Aliannejadi, Evangelos Kanoulas2026 · 5 citations
11. Agentic Conversational Search with Contextualized Reasoning via Reinforcement LearningFindings of the Association for Computational LinguisticsFengran Mo, Yifan Gao, Sha Li, et al.2026 · 2 citations
12. 5ting at SemEval-2026 Task 8: Strong End-to-End Multi-Turn RAG via LLM-Based Reranking and Faithfulness ControlInternational Workshop on Semantic Evaluation (SemEval)Thien-Qua T-Nguyen, Chi Hoang, Nguyen Tran, et al.2026 · 1 citation
13. MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval BenchmarksAnnual Meeting of the Association for Computational Linguistics (ACL)Junhao Ruan, Abudukeyumu Abudula, Bei Li, et al.2026

35 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/liu-2024-chatqa-surpassing-gpt-4-conversational/cited-by/