{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T13:40:01Z","timestamp":1755870001970,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100006374","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006374","name":"Air Liquide","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,7,13]]},"DOI":"10.1145\/3726302.3730239","type":"proceedings-article","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T01:41:01Z","timestamp":1752457261000},"page":"2674-2678","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-0198-3868","authenticated-orcid":false,"given":"Arthur","family":"Satouf","sequence":"first","affiliation":[{"name":"ILLS, Montreal, Canada, Universit\u00e9 Paris-Saclay, Gif-sur-Yvette, France, and Air Liquide, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-2029-9793","authenticated-orcid":false,"given":"Gabriel","family":"Ben-Zenou","sequence":"additional","affiliation":[{"name":"ILLS, Montreal, Canada, CentraleSup\u00e9lec, Gif-sur-Yvette, France, and AMIAD, Palaiseau, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6792-3262","authenticated-orcid":false,"given":"Benjamin","family":"Piwowarski","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9, Paris, France, ISIR, Paris, France, and CNRS, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8387-0068","authenticated-orcid":false,"given":"Habiboulaye","family":"Amadou-Boubacar","sequence":"additional","affiliation":[{"name":"Air Liquide, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8717-2117","authenticated-orcid":false,"given":"Pablo","family":"Piantanida","sequence":"additional","affiliation":[{"name":"MILA - Quebec AI Institute, Montreal, Canada, CentraleSup\u00e9lec, Gif-sur-Yvette, France, ILLS, Montreal, Canada, and CNRS, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,7,13]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","unstructured":"Jacob Andreas and Dan Klein. [n.d.]. Reasoning About Pragmatics with Neural Listeners and Speakers. https:\/\/doi.org\/10.48550\/arXiv.1604.00562 arXiv:1604.00562 [cs]","DOI":"10.48550\/arXiv.1604.00562"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290607.3298809"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531863"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.4312\/slo2.0.2023.1.189-217"},{"key":"e_1_3_2_2_5_1","unstructured":"David R. Cheriton. 2019. From doc2query to docTTTTTquery. https:\/\/api.semanticscholar.org\/CorpusID:208612557"},{"key":"e_1_3_2_2_6_1","unstructured":"Reuben Cohn-Gordon and Noah Goodman. 2019. Lost in Machine Translation: A Method to Reduce Meaning Loss. arxiv:1902.09514 [cs.CL] https:\/\/arxiv.org\/abs\/1902.09514"},{"key":"e_1_3_2_2_7_1","unstructured":"Reuben Cohn-Gordon Noah Goodman and Christopher Potts. 2018. Pragmatically Informative Image Captioning with Character-Level Inference. arxiv:1804.05417 [cs.CL] https:\/\/arxiv.org\/abs\/1804.05417"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-linguistics-031220-010811"},{"key":"e_1_3_2_2_9_1","unstructured":"J Degen M H Tessler and N D Goodman. 2015. Wonky worlds: Listeners revise world knowledge when utterances are odd."},{"key":"e_1_3_2_2_10_1","unstructured":"Abhimanyu Dubey Abhinav Jauhri Abhinav Pandey 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_2_11_1","doi-asserted-by":"publisher","unstructured":"Thibault Formal Carlos Lassance Benjamin Piwowarski and St\u00e9phane Clinchant. [n.d.]. Towards Effective and Efficient Sparse Neural Information Retrieval. ([n. d.]) 3634912. https:\/\/doi.org\/10.1145\/3634912","DOI":"10.1145\/3634912"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"crossref","unstructured":"Michael C Frank. 2016. Rational speech act models of pragmatic reasoning in reference games. (2016).","DOI":"10.31234\/osf.io\/f9y6b"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1218633"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2016.08.005"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","unstructured":"H. P. Grice. 1975. Logic and Conversation. https:\/\/doi.org\/10.1016\/j.iswa.2022.200118","DOI":"10.1016\/j.iswa.2022.200118"},{"key":"e_1_3_2_2_16_1","unstructured":"Sebastian Hofst\u00e4tter Sheng-Chieh Lin Jheng-Hong Yang Jimmy Lin and Allan Hanbury. 2021. Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. arxiv:2104.06967 [cs.IR] https:\/\/arxiv.org\/abs\/2104.06967"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.65"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.170"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3592065"},{"key":"e_1_3_2_2_20_1","unstructured":"Jimmy Lin and Xueguang Ma. 2021. A Few Brief Notes on DeepImpact COIL and a Conceptual Framework for Information Retrieval Techniques. arxiv:2106.14807 [cs.IR] https:\/\/arxiv.org\/abs\/2106.14807"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","unstructured":"Joel Mackenzie Andrew Trotman and Jimmy Lin. [n.d.]. Wacky Weights in Learned Sparse Representations and the Revenge of Score-at-a-Time Query Evaluation. https:\/\/doi.org\/10.48550\/arXiv.2110.11540 arXiv:2110.11540 [cs]","DOI":"10.48550\/arXiv.2110.11540"},{"key":"e_1_3_2_2_22_1","unstructured":"Antonio Mallia Omar Khattab Nicola Tonellotto and Torsten Suel. 2021. Learning Passage Impacts for Inverted Indexes. arxiv:2104.12016 [cs.IR] https:\/\/arxiv.org\/abs\/2104.12016"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00064"},{"key":"e_1_3_2_2_24_1","unstructured":"Rodrigo Nogueira Wei Yang Kyunghyun Cho and Jimmy Lin. 2019. Multi-Stage Document Ranking with BERT. arxiv:1910.14424 [cs.IR] https:\/\/arxiv.org\/abs\/1910.14424"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/290941.291008"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000019"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"crossref","unstructured":"Keshav Santhanam Omar Khattab Jon Saad-Falcon Christopher Potts and Matei Zaharia. 2022. ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. arxiv:2112.01488 [cs.IR] https:\/\/arxiv.org\/abs\/2112.01488","DOI":"10.18653\/v1\/2022.naacl-main.272"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","unstructured":"Sheng Shen Daniel Fried Jacob Andreas and Dan Klein. 2019. Pragmatically Informative Text Generation. https:\/\/doi.org\/10.48550\/ARXIV.1904.01301","DOI":"10.48550\/ARXIV.1904.01301"},{"key":"e_1_3_2_2_29_1","volume-title":"BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models. arxiv:2104.08663 [cs.IR] https:\/\/arxiv.org\/abs\/2104.08663","author":"Thakur Nandan","year":"2021","unstructured":"Nandan Thakur, Nils Reimers, Andreas R\u00fcckl\u00e9, Abhishek Srivastava, and Iryna Gurevych. 2021. BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models. arxiv:2104.08663 [cs.IR] https:\/\/arxiv.org\/abs\/2104.08663"},{"key":"e_1_3_2_2_30_1","unstructured":"Wenhui Wang Furu Wei Li Dong Hangbo Bao Nan Yang and Ming Zhou. 2020. MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers. arxiv:2002.10957 [cs.CL] https:\/\/arxiv.org\/abs\/2002.10957"},{"key":"e_1_3_2_2_31_1","volume-title":"SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval. arxiv:2009.13013 [cs.CL] https:\/\/arxiv.org\/abs\/2009.13013","author":"Zhao Tiancheng","year":"2020","unstructured":"Tiancheng Zhao, Xiaopeng Lu, and Kyusong Lee. 2020. SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval. arxiv:2009.13013 [cs.CL] https:\/\/arxiv.org\/abs\/2009.13013"}],"event":{"name":"SIGIR '25: The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Padua Italy","acronym":"SIGIR '25"},"container-title":["Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3726302.3730239","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T13:21:41Z","timestamp":1755868901000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3726302.3730239"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,13]]},"references-count":31,"alternative-id":["10.1145\/3726302.3730239","10.1145\/3726302"],"URL":"https:\/\/doi.org\/10.1145\/3726302.3730239","relation":{},"subject":[],"published":{"date-parts":[[2025,7,13]]},"assertion":[{"value":"2025-07-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}