{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T16:40:58Z","timestamp":1786120858442,"version":"build-2736575974"},"publisher-location":"New York, NY, USA","reference-count":54,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T00:00:00Z","timestamp":1786147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"National Natural Science Foundation of China","award":["62425209"],"award-info":[{"award-number":["62425209"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,8,9]]},"DOI":"10.1145\/3770855.3817479","type":"proceedings-article","created":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T17:15:47Z","timestamp":1786036547000},"page":"9091-9102","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["RAViG-Bench: A Benchmark for Retrieval-Augmented Visually-Rich Generation with Multi-Modal Automated Evaluation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-1854-689X","authenticated-orcid":false,"given":"Qirui","family":"Hu","sequence":"first","affiliation":[{"name":"State Key Lab of CAD&amp;CG, Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2763-7055","authenticated-orcid":false,"given":"Shunlei","family":"Ning","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0991-2848","authenticated-orcid":false,"given":"Chong","family":"Bao","sequence":"additional","affiliation":[{"name":"State Key Lab of CAD&amp;CG, Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3214-2084","authenticated-orcid":false,"given":"Guanyu","family":"Chen","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-9514-9656","authenticated-orcid":false,"given":"Jiaotuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2795-7032","authenticated-orcid":false,"given":"Wei","family":"Yang","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4089-8172","authenticated-orcid":false,"given":"Hao","family":"Chen","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6588-2943","authenticated-orcid":false,"given":"Xuepeng","family":"Jia","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7914-2981","authenticated-orcid":false,"given":"Wei","family":"Zhou","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5661-8430","authenticated-orcid":false,"given":"Guofeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Lab of CAD&amp;CG, Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,8,8]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Anthropic. 2025. Claude Opus 4. https:\/\/www.anthropic.com\/claude\/opus."},{"key":"e_1_3_2_1_2_1","volume-title":"Visual RAG: Expanding MLLM visual knowledge without fine-tuning. CoRR","author":"Bonomo Mirco","year":"2025","unstructured":"Mirco Bonomo and Simone Bianco. 2025. Visual RAG: Expanding MLLM visual knowledge without fine-tuning. CoRR, Vol. abs\/2501.10834 (2025)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i16.29728"},{"key":"e_1_3_2_1_4_1","volume-title":"Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding. CoRR","author":"Chen Maximillian","year":"2022","unstructured":"Maximillian Chen, Alexandros Papangelis, Chenyang Tao, Andy Rosenbaum, Seokhwan Kim, Yang Liu, Zhou Yu, and Dilek Hakkani-Tur. 2022. Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding. CoRR, Vol. abs\/2210.14169 (2022)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2024.3456320"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.637"},{"key":"e_1_3_2_1_7_1","unstructured":"DeepSeek-AI. 2024. DeepSeek-V3 Technical Report. CoRR Vol. abs\/2412.19437 (2024)."},{"key":"e_1_3_2_1_8_1","volume-title":"PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering. CoRR","author":"Ding Yihao","year":"2024","unstructured":"Yihao Ding, Kaixuan Ren, Jiabin Huang, Siwen Luo, and Soyeon Caren Han. 2024. PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering. CoRR, Vol. abs\/2404.12720 (2024)."},{"key":"e_1_3_2_1_9_1","volume-title":"MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents. CoRR","author":"Dong Kuicai","year":"2025","unstructured":"Kuicai Dong, Yujing Chang, Derrick-Goh-Xin Deik, Dexun Li, Ruiming Tang, and Yong Liu. 2025. MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents. CoRR, Vol. abs\/2501.08828 (2025)."},{"key":"e_1_3_2_1_10_1","first-page":"150","volume-title":"Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2024 - System Demonstrations, St. Julians","author":"Jithin James Shahul ES","year":"2024","unstructured":"Shahul ES, Jithin James, Luis Espinosa Anke, and Steven Schockaert. 2024. RAGAs: Automated Evaluation of Retrieval Augmented Generation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2024 - System Demonstrations, St. Julians, Malta, March 17-22, 2024, Nikolaos Aletras and Orph\u00e9e De Clercq (Eds.). Association for Computational Linguistics, 150-158."},{"key":"e_1_3_2_1_11_1","volume-title":"Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey. CoRR","author":"Gan Aoran","year":"2025","unstructured":"Aoran Gan, Hao Yu, Kai Zhang, Qi Liu, Wenyu Yan, Zhenya Huang, Shiwei Tong, and Guoping Hu. 2025. Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey. CoRR, Vol. abs\/2504.14891 (2025)."},{"key":"e_1_3_2_1_12_1","unstructured":"Google. 2025. Deep Research. Official Gemini Overview. https:\/\/gemini.google\/overview\/deep-research\/"},{"key":"e_1_3_2_1_13_1","volume-title":"MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models. In The Thirteenth International Conference on Learning Representations, ICLR 2025","author":"Hu Wenbo","year":"2025","unstructured":"Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou, Mohsen Fayyaz, Pan Lu, Kai-Wei Chang, and Nanyun Peng. 2025. MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models. In The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025. OpenReview.net."},{"key":"e_1_3_2_1_14_1","volume-title":"Stella S. R. Offner, St\u00e9phanie Juneau, Paul Torrey, Adam S. Bolton, Juan P. Farias, Niall Gaffney, Greg Durrett, and Junyi Jessy Li.","author":"Joseph Sebastian Antony","year":"2025","unstructured":"Sebastian Antony Joseph, Syed Murtaza Husain, Stella S. R. Offner, St\u00e9phanie Juneau, Paul Torrey, Adam S. Bolton, Juan P. Farias, Niall Gaffney, Greg Durrett, and Junyi Jessy Li. 2025. AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy. CoRR, Vol. abs\/2505.20538 (2025)."},{"key":"e_1_3_2_1_15_1","volume-title":"MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems. CoRR","author":"Katsis Yannis","year":"2025","unstructured":"Yannis Katsis, Sara Rosenthal, Kshitij Fadnis, R. Chulaka Gunasekara, Young-Suk Lee, Lucian Popa, Vraj Shah, Huaiyu Zhu, Danish Contractor, and Marina Danilevsky. 2025. MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems. CoRR, Vol. abs\/2501.03468 (2025)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00276"},{"key":"e_1_3_2_1_17_1","unstructured":"Baixuan Li Bo Zhang Dingchu Zhang Fei Huang Guangyu Li Guoxin Chen Huifeng Yin Jialong Wu Jingren Zhou Kuan Li Liangcai Su Litu Ou Liwen Zhang Pengjun Xie Rui Ye Wenbiao Yin Xinmiao Yu Xinyu Wang Xixi Wu Xuanzhong Chen Yida Zhao Zhen Zhang Zhengwei Tao Zhongwang Zhang Zile Qiao Chenxi Wang Donglei Yu Gang Fu Haiyang Shen Jiayin Yang Jun Lin Junkai Zhang Kui Zeng Li Yang Hailong Yin Maojia Song Ming Yan Peng Xia Qian Xiao Rui Min Ruixue Ding Runnan Fang Shaowei Chen Shen Huang Shihang Wang Shihao Cai Weizhou Shen Xiaobin Wang Xin Guan Xinyu Geng Yingcheng Shi Yuning Wu Zhuo Chen Zijian Li and Yong Jiang. 2025. Tongyi DeepResearch Technical Report. CoRR Vol. abs\/2510.24701 (2025)."},{"key":"e_1_3_2_1_18_1","volume-title":"Visualization Generation with Large Language Models: An Evaluation. CoRR","author":"Li Guozheng","year":"2024","unstructured":"Guozheng Li, Xinyu Wang, Gerile Aodeng, Shunyuan Zheng, Yu Zhang, Chuangxin Ou, Song Wang, and Chi Harold Liu. 2024a. Visualization Generation with Large Language Models: An Evaluation. CoRR, Vol. abs\/2401.11255 (2024)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.716"},{"key":"e_1_3_2_1_20_1","volume-title":"The Thirteenth International Conference on Learning Representations, ICLR 2025","author":"Lin Bill Yuchen","year":"2025","unstructured":"Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, and Yejin Choi. 2025. WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. In The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025. OpenReview.net."},{"key":"e_1_3_2_1_21_1","volume-title":"RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge. CoRR","author":"Liu Yi","year":"2023","unstructured":"Yi Liu, Lianzhe Huang, Shicheng Li, Sishuo Chen, Hao Zhou, Fandong Meng, Jie Zhou, and Xu Sun. 2023. RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge. CoRR, Vol. abs\/2311.08147 (2023)."},{"key":"e_1_3_2_1_22_1","volume-title":"nvBench 2.0: A Benchmark for Natural Language to Visualization under Ambiguity. CoRR","author":"Luo Tianqi","year":"2025","unstructured":"Tianqi Luo, Chuhan Huang, Leixian Shen, Boyan Li, Shuyu Shen, Wei Zeng, Nan Tang, and Yuyu Luo. 2025. nvBench 2.0: A Benchmark for Natural Language to Visualization under Ambiguity. CoRR, Vol. abs\/2503.12880 (2025)."},{"key":"e_1_3_2_1_23_1","volume-title":"nvBench: A Large-Scale Synthesized Dataset for Cross-Domain Natural Language to Visualization Task. CoRR","author":"Luo Yuyu","year":"2021","unstructured":"Yuyu Luo, Jiawei Tang, and Guoliang Li. 2021. nvBench: A Large-Scale Synthesized Dataset for Cross-Domain Natural Language to Visualization Task. CoRR, Vol. abs\/2112.12926 (2021)."},{"key":"e_1_3_2_1_24_1","volume-title":"Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems","author":"Ma Yubo","year":"2024","unstructured":"Yubo Ma, Yuhang Zang, Liangyu Chen, Meiqi Chen, Yizhu Jiao, Xinze Li, Xinyuan Lu, Ziyu Liu, Yan Ma, Xiaoyi Dong, Pan Zhang, Liangming Pan, Yu-Gang Jiang, Jiaqi Wang, Yixin Cao, and Aixin Sun. 2024. MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations. In Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, Amir Globersons, Lester Mackey, Danielle Belgrave, Angela Fan, Ulrich Paquet, Jakub M. Tomczak, and Cheng Zhang (Eds.)."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.177"},{"key":"e_1_3_2_1_26_1","unstructured":"Meta AI. 2025. The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation. https:\/\/ai.meta.com\/blog\/llama-4-multimodal-intelligence\/."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"Mistral AI. 2025. Mistral Small 3. https:\/\/mistral.ai\/news\/mistral-small-3.","DOI":"10.5840\/mr2025312"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.585"},{"key":"e_1_3_2_1_29_1","volume-title":"GPT-4o System Card. CoRR","author":"AI.","year":"2024","unstructured":"OpenAI. 2024. GPT-4o System Card. CoRR, Vol. abs\/2410.21276 (2024)."},{"key":"e_1_3_2_1_30_1","unstructured":"OpenAI. 2025. Introducing GPT-5. https:\/\/openai.com\/zh-Hans-CN\/index\/introducing-gpt-5\/."},{"key":"e_1_3_2_1_31_1","volume-title":"VIS-Shepherd: Constructing Critic for LLM-based Data Visualization Generation. CoRR","author":"Pan Bo","year":"2025","unstructured":"Bo Pan, Yixiao Fu, Ke Wang, Junyu Lu, Lunke Pan, Ziyang Qian, Yuhan Chen, Guoliang Wang, Yitao Zhou, Li Zheng, Yinghao Tang, Zhen Wen, Yuchen Wu, Junhua Lu, Biao Zhu, Minfeng Zhu, Bo Zhang, and Wei Chen. 2025. VIS-Shepherd: Constructing Critic for LLM-based Data Visualization Generation. CoRR, Vol. abs\/2506.13326 (2025)."},{"key":"e_1_3_2_1_32_1","volume-title":"UNIDOC-BENCH: A Unified Benchmark for Document-Centric Multimodal RAG. CoRR","author":"Peng Xiangyu","year":"2025","unstructured":"Xiangyu Peng, Can Qin, Zeyuan Chen, Ran Xu, Caiming Xiong, and Chien-Sheng Wu. 2025. UNIDOC-BENCH: A Unified Benchmark for Document-Centric Multimodal RAG. CoRR, Vol. abs\/2510.03663 (2025)."},{"key":"e_1_3_2_1_33_1","unstructured":"Perplexity AI Inc. 2025. Perplexity. Official Website. https:\/\/www.perplexity.ai\/ Accessed: 2025-09-01."},{"key":"e_1_3_2_1_34_1","volume-title":"abs\/2402.02167","author":"Podo Luca","year":"2024","unstructured":"Luca Podo, Muhammad Ishmal, and Marco Angelini. 2024. Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations. CoRR, Vol. abs\/2402.02167 (2024)."},{"key":"e_1_3_2_1_35_1","volume-title":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, EMNLP 2025","author":"Rahman Mizanur","year":"2025","unstructured":"Mizanur Rahman, Md. Tahmid Rahman Laskar, Shafiq Joty, and Enamul Hoque. 2025. Text2Vis: A Challenging and Diverse Benchmark for Generating Multimodal Visualizations from Text. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, EMNLP 2025, Suzhou, China, November 4-9, 2025, Christos Christodoulopoulos, Tanmoy Chakraborty, Carolyn Rose, and Violet Peng (Eds.). Association for Computational Linguistics, 31849-31874."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.naacl-long.20"},{"key":"e_1_3_2_1_37_1","volume-title":"InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. In The Thirteenth International Conference on Learning Representations, ICLR 2025","author":"Sahu Gaurav","year":"2025","unstructured":"Gaurav Sahu, Abhay Puri, Juan A. Rodr\u00edguez, Amirhossein Abaskohi, Mohammad Chegini, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David V\u00e1zquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, and Issam H. Laradji. 2025. InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. In The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025. OpenReview.net."},{"key":"e_1_3_2_1_38_1","volume-title":"abs\/2505.07062","author":"Seed ByteDance","year":"2025","unstructured":"ByteDance Seed. 2025. Seed1.5-VL Technical Report. CoRR, Vol. abs\/2505.07062 (2025)."},{"key":"e_1_3_2_1_39_1","unstructured":"Shanghai Mita Network Technology Co. Ltd. 2025. Metaso AI Search. Official Website. https:\/\/metaso.cn\/ Accessed: 2025-09-01."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671935"},{"key":"e_1_3_2_1_41_1","volume-title":"ACL 2025","author":"Sorodoc Ionut-Teodor","year":"2025","unstructured":"Ionut-Teodor Sorodoc, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Christopher Davis, and Adri\u00e0 de Gispert. 2025. GaRAGe: A Benchmark with Grounding Annotations for RAG Evaluation. In Findings of the Association for Computational Linguistics, ACL 2025, Vienna, Austria, July 27 - August 1, 2025, Wanxiang Che, Joyce Nabende, Ekaterina Shutova, and Mohammad Taher Pilehvar (Eds.). Association for Computational Linguistics, 17030-17049."},{"key":"e_1_3_2_1_42_1","volume-title":"Maximilian Trescher, Chris Biemann, and Martin Semmann.","author":"Strich Jan","year":"2025","unstructured":"Jan Strich, Enes Kutay Isgorur, Maximilian Trescher, Chris Biemann, and Martin Semmann. 2025. T(^mbox2, )-RAGBench: Text-and-Table Benchmark for Evaluating Retrieval-Augmented Generation. CoRR, Vol. abs\/2506.12071 (2025)."},{"key":"e_1_3_2_1_43_1","volume-title":"Multimodality, Long Context, and Next Generation Agentic Capabilities. CoRR","author":"Team Gemini","year":"2025","unstructured":"Gemini Team. 2025a. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities. CoRR, Vol. abs\/2507.06261 (2025)."},{"key":"e_1_3_2_1_44_1","volume-title":"The Llama 3 Herd of Models. CoRR","author":"Team Llama","year":"2024","unstructured":"Llama Team. 2024. The Llama 3 Herd of Models. CoRR, Vol. abs\/2407.21783 (2024)."},{"key":"e_1_3_2_1_45_1","unstructured":"Qwen Team. 2025b. Qwen3 Technical Report. arXiv:2505.09388 [cs.CL] https:\/\/arxiv.org\/abs\/2505.09388"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/PacificVis60374.2024.00049"},{"key":"e_1_3_2_1_47_1","volume-title":"Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. In Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou. 2022. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. In Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, and A. Oh (Eds.)."},{"key":"e_1_3_2_1_48_1","volume-title":"Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive Queries. CoRR","author":"Wu Yin","year":"2025","unstructured":"Yin Wu, Quanyu Long, Jing Li, Jianfei Yu, and Wenya Wang. 2025. Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive Queries. CoRR, Vol. abs\/2502.16636 (2025)."},{"key":"e_1_3_2_1_49_1","volume-title":"CRAG - Comprehensive RAG Benchmark. In Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024","author":"Yang Xiao","year":"2024","unstructured":"Xiao Yang, Kai Sun, Hao Xin, Yushi Sun, Nikita Bhalla, Xiangsen Chen, Sajal Choudhary, Rongze Daniel Gui, Ziran Will Jiang, Ziyu Jiang, Lingkun Kong, Brian Moran, Jiaqi Wang, Yifan Xu, An Yan, Chenyu Yang, Eting Yuan, Hanwen Zha, Nan Tang, Lei Chen, Nicolas Scheffer, Yue Liu, Nirav Shah, Rakesh Wanga, Anuj Kumar, Scott Yih, and Xin Dong. 2024. CRAG - Comprehensive RAG Benchmark. In Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, Amir Globersons, Lester Mackey, Danielle Belgrave, Angela Fan, Ulrich Paquet, Jakub M. Tomczak, and Cheng Zhang (Eds.)."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3730288"},{"key":"e_1_3_2_1_51_1","volume-title":"SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets. CoRR","author":"Yuan Ann","year":"2021","unstructured":"Ann Yuan, Daphne Ippolito, Vitaly Nikolaev, Chris Callison-Burch, Andy Coenen, and Sebastian Gehrmann. 2021. SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets. CoRR, Vol. abs\/2111.06467 (2021)."},{"key":"e_1_3_2_1_52_1","volume-title":"MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning. CoRR","author":"Zhan Zaifu","year":"2025","unstructured":"Zaifu Zhan, Jun Wang, Shuang Zhou, Jiawen Deng, and Rui Zhang. 2025. MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning. CoRR, Vol. abs\/2502.15954 (2025)."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.emnlp-main.211"},{"key":"e_1_3_2_1_54_1","volume-title":"Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena. In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023","author":"Zheng Lianmin","year":"2023","unstructured":"Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica. 2023. Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena. In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, and Sergey Levine (Eds.)."}],"event":{"name":"KDD '26: The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Jeju Island Republic of Korea","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2"],"original-title":[],"deposited":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T01:27:37Z","timestamp":1786066057000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3770855.3817479"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,8]]},"references-count":54,"alternative-id":["10.1145\/3770855.3817479","10.1145\/3770855"],"URL":"https:\/\/doi.org\/10.1145\/3770855.3817479","relation":{},"subject":[],"published":{"date-parts":[[2026,8,8]]},"assertion":[{"value":"2026-08-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}