{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T18:05:43Z","timestamp":1784138743017,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":42,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Chinese Academy of Sciences","award":["XDB0690301"],"award-info":[{"award-number":["XDB0690301"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,7,20]]},"DOI":"10.1145\/3805712.3809671","type":"proceedings-article","created":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:06:26Z","timestamp":1784135186000},"page":"246-256","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Incentivizing Retrieval-Augmented Generation via Inner Adaptive Context Selection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5228-7989","authenticated-orcid":false,"given":"Chenxu","family":"Cui","sequence":"first","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Haidian, China, School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China, and State Key Laboratory of Cyberspace Security Defense, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9570-767X","authenticated-orcid":false,"given":"Lin","family":"Shen","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China, School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China, and State Key Laboratory of Cyberspace Security Defense, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4366-9121","authenticated-orcid":false,"given":"Haihui","family":"Fan","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and State Key Laboratory of Cyberspace Security Defense, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7834-2698","authenticated-orcid":false,"given":"Sa","family":"Zhu","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China, School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China, and State Key Laboratory of Cyberspace Security Defense, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1268-1715","authenticated-orcid":false,"given":"Feifei","family":"Dai","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and State Key Laboratory of Cyberspace Security Defense, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6709-0942","authenticated-orcid":false,"given":"Bo","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and State Key Laboratory of Cyberspace Security Defense, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,19]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"The Twelfth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=hSyW5go0v8","author":"Asai Akari","year":"2024","unstructured":"Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi. 2024. Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection. In The Twelfth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=hSyW5go0v8"},{"key":"e_1_3_2_1_2_1","first-page":"1877","volume-title":"Advances in Neural Information Processing Systems","volume":"33","author":"Brown Tom","year":"2020","unstructured":"Tom Brown, Benjamin Mann, Nick Ryder, and et al., 2020. Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems, Vol. 33. Curran Associates, Inc., 1877-1901. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2020\/file\/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Jianlv Chen Shitao Xiao Peitian Zhang Kun Luo Defu Lian and Zheng Liu. 2024. BGE M3-Embedding: Multi-Lingual Multi-Functionality Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. arXiv:2402.03216 [cs.CL]","DOI":"10.18653\/v1\/2024.findings-acl.137"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.52202\/079017-3476"},{"key":"e_1_3_2_1_5_1","volume-title":"The Thirteenth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=TDy5Ih78b4","author":"Chirkova Nadezhda","year":"2025","unstructured":"Nadezhda Chirkova, Thibault Formal, Vassilina Nikoulina, and St\u00e9phane Clinchant. 2025. Provence: efficient and robust context pruning for retrieval-augmented generation. In The Thirteenth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=TDy5Ih78b4"},{"key":"e_1_3_2_1_6_1","article-title":"PaLM: scaling language modeling with pathways","volume":"24","author":"Chowdhery Aakanksha","year":"2023","unstructured":"Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, and et al., 2023. PaLM: scaling language modeling with pathways. J. Mach. Learn. Res., Vol. 24, 1, Article 240 (Jan. 2023), 113 pages.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3729921"},{"key":"e_1_3_2_1_8_1","volume-title":"The Twelfth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=mZn2Xyh9Ec","author":"Dao Tri","year":"2024","unstructured":"Tri Dao. 2024. FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning. In The Twelfth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=mZn2Xyh9Ec"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.194"},{"key":"e_1_3_2_1_10_1","unstructured":"Aaron Grattafiori Abhimanyu Dubey Abhinav Jauhri and et al. 2024. The Llama 3 Herd of Models. arXiv:2407.21783 [cs.AI] https:\/\/arxiv.org\/abs\/2407.21783"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.acl-long.148"},{"key":"e_1_3_2_1_12_1","volume-title":"Mimo-embodied: X-embodied foundation model technical report. arXiv preprint arXiv:2511.16518","author":"Hao Xiaoshuai","year":"2025","unstructured":"Xiaoshuai Hao, Lei Zhou, Zhijian Huang, Zhiwen Hou, Yingbo Tang, Lingfeng Zhang, et al., 2025. Mimo-embodied: X-embodied foundation model technical report. arXiv preprint arXiv:2511.16518 (2025)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.580"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3703155"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.52202\/079017-1663"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.495"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00023"},{"key":"e_1_3_2_1_18_1","first-page":"106519","volume-title":"BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack. In Advances in Neural Information Processing Systems","volume":"37","author":"Kuratov Yuri","year":"2024","unstructured":"Yuri Kuratov, Aydar Bulatov, Petr Anokhin, and et al., 2024. BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack. In Advances in Neural Information Processing Systems, Vol. 37. Curran Associates, Inc., 106519-106554. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2024\/file\/c0d62e70dbc659cc9bd44cbcf1cb652f-Paper-Datasets_and_Benchmarks_Track.pdf"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00276"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.5555\/3495724.3496517"},{"key":"e_1_3_2_1_21_1","volume-title":"Xiang Yue, and Wenhu Chen.","author":"Li Tianle","year":"2024","unstructured":"Tianle Li, Ge Zhang, Quy Duc Do, Xiang Yue, and Wenhu Chen. 2024. Long-context LLMs Struggle with Long In-context Learning. arXiv:2404.02060 [cs.CL] https:\/\/arxiv.org\/abs\/2404.02060"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00638"},{"key":"e_1_3_2_1_23_1","unstructured":"Songshuo Lu and Yaohua Tang. 2025. TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text. https:\/\/openreview.net\/forum?id=x7NbaU8RSU"},{"key":"e_1_3_2_1_24_1","volume-title":"Block-Attention for Efficient Prefilling. In The Thirteenth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=7zNYY1E2fq","author":"Ma Dongyang","unstructured":"Dongyang Ma, Yan Wang, Tian Lan, and et al., 2025. Block-Attention for Efficient Prefilling. In The Thirteenth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=7zNYY1E2fq"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.546"},{"key":"e_1_3_2_1_26_1","unstructured":"OpenAI Josh Achiam Steven Adler and et al. 2024. GPT-4 Technical Report. arXiv:2303.08774 [cs.CL] https:\/\/arxiv.org\/abs\/2303.08774"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.57"},{"key":"e_1_3_2_1_28_1","unstructured":"Qwen: An Yang Baosong Yang Beichen Zhang and et al. 2025. Qwen2.5 Technical Report. arXiv:2412.15115 [cs.CL] https:\/\/arxiv.org\/abs\/2412.15115"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00605"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000019"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3746252.3761265"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.702"},{"key":"e_1_3_2_1_33_1","volume-title":"Proceedings of the 41st International Conference on Machine Learning","author":"Tang Jiaming","year":"2024","unstructured":"Jiaming Tang, Yilong Zhao, Kan Zhu, Guangxuan Xiao, Baris Kasikci, and Song Han. 2024. QUEST: query-aware sparsity for efficient long-context LLM inference. In Proceedings of the 41st International Conference on Machine Learning (Vienna, Austria) (ICML'24). JMLR.org, Article 1955, 11 pages."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.557"},{"key":"e_1_3_2_1_35_1","volume-title":"Quoc V Le, and Denny Zhou.","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. https:\/\/openreview.net\/forum?id=_VjQlMeSB_J"},{"key":"e_1_3_2_1_36_1","unstructured":"Fangyuan Xu Weijia Shi and Eunsol Choi. 2024. RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation. In The Twelfth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=mlJLVigNHp"},{"key":"e_1_3_2_1_37_1","volume-title":"Corrective Retrieval Augmented Generation. arXiv preprint arXiv:2401.15884","author":"Yan Shi-Qi","year":"2024","unstructured":"Shi-Qi Yan, Jia-Chen Gu, Yun Zhu, and Zhen-Hua Ling. 2024. Corrective Retrieval Augmented Generation. arXiv preprint arXiv:2401.15884 (2024)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1259"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Yue Yu Wei Ping Zihan Liu Boxin Wang Jiaxuan You Chao Zhang Mohammad Shoeybi and Bryan Catanzaro. 2024. RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs. In The Thirty-eighth Annual Conference on Neural Information Processing Systems. https:\/\/openreview.net\/forum?id=S1fc92uemC","DOI":"10.52202\/079017-3850"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1506"},{"key":"e_1_3_2_1_41_1","unstructured":"Wayne Xin Zhao Kun Zhou Junyi Li and et al. 2025. A Survey of Large Language Models. arXiv:2303.18223 [cs.CL] https:\/\/arxiv.org\/abs\/2303.18223"},{"key":"e_1_3_2_1_42_1","volume-title":"The Thirteenth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=HE6pJoNnFp","author":"Zhu Yun","year":"2025","unstructured":"Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, Chu-Cheng Lin, Lei Shu, Liangchen Luo, Lei Meng, Bang Liu, and Jindong Chen. 2025. Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection. In The Thirteenth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=HE6pJoNnFp"}],"event":{"name":"SIGIR '26: The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Melbourne VIC Australia","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"deposited":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:22:43Z","timestamp":1784136163000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3805712.3809671"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,19]]},"references-count":42,"alternative-id":["10.1145\/3805712.3809671","10.1145\/3805712"],"URL":"https:\/\/doi.org\/10.1145\/3805712.3809671","relation":{},"subject":[],"published":{"date-parts":[[2026,7,19]]},"assertion":[{"value":"2026-07-19","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}