{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T06:10:07Z","timestamp":1755843007410,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T00:00:00Z","timestamp":1720569600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,7,10]]},"DOI":"10.1145\/3626772.3657830","type":"proceedings-article","created":{"date-parts":[[2024,7,11]],"date-time":"2024-07-11T12:40:05Z","timestamp":1720701605000},"page":"1973-1983","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["CIQA: A Coding Inspired Question Answering Model"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9506-0112","authenticated-orcid":false,"given":"Mousa","family":"Arraf","sequence":"first","affiliation":[{"name":"Technion - Israel Institute of Technology &amp; Microsoft, Haifa, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7918-2204","authenticated-orcid":false,"given":"Kira","family":"Radinsky","sequence":"additional","affiliation":[{"name":"Technion - Israel Institute of Technology, Haifa, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,7,11]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Rohan Anil Andrew M Dai Orhan Firat Melvin Johnson Dmitry Lepikhin Alexandre Passos Siamak Shakeri Emanuel Taropa Paige Bailey Zhifeng Chen et al. 2023. Palm 2 technical report. arXiv preprint arXiv:2305.10403 (2023)."},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of the 39th International Conference on Machine Learning (Proceedings of Machine Learning Research","volume":"2240","author":"Borgeaud Sebastian","year":"2022","unstructured":"Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George Bm Van Den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego De Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack Rae, Erich Elsen, and Laurent Sifre. 2022. Improving Language Models by Retrieving from Trillions of Tokens. In Proceedings of the 39th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 162), Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvari, Gang Niu, and Sivan Sabato (Eds.). PMLR, 2206--2240. https:\/\/proceedings.mlr.press\/v162\/borgeaud22a.html"},{"key":"e_1_3_2_1_3_1","volume-title":"Lin (Eds.)","volume":"33","author":"Brown Tom","year":"2020","unstructured":"Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020a. Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems, H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (Eds.), 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_4_1","volume-title":"Lin (Eds.)","volume":"33","author":"Brown Tom","year":"2020","unstructured":"Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020b. Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems, H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (Eds.), 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_5_1","doi-asserted-by":"publisher","unstructured":"Bei Chen Fengji Zhang Anh Nguyen Daoguang Zan Zeqi Lin Jian-Guang Lou and Weizhu Chen. 2022. CodeT: Code Generation with Generated Tests. https:\/\/doi.org\/10.48550\/ARXIV.2207.10397","DOI":"10.48550\/ARXIV.2207.10397"},{"key":"e_1_3_2_1_6_1","unstructured":"Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Ponde de Oliveira Pinto Jared Kaplan Harri Edwards Yuri Burda Nicholas Joseph Greg Brockman Alex Ray Raul Puri Gretchen Krueger Michael Petrov Heidy Khlaaf Girish Sastry Pamela Mishkin Brooke Chan Scott Gray Nick Ryder Mikhail Pavlov Alethea Power Lukasz Kaiser Mohammad Bavarian Clemens Winter Philippe Tillet Felipe Petroski Such Dave Cummings Matthias Plappert Fotios Chantzis Elizabeth Barnes Ariel Herbert-Voss William Hebgen Guss Alex Nichol Alex Paino Nikolas Tezak Jie Tang Igor Babuschkin Suchir Balaji Shantanu Jain William Saunders Christopher Hesse Andrew N. Carr Jan Leike Josh Achiam Vedant Misra Evan Morikawa Alec Radford Matthew Knight Miles Brundage Mira Murati Katie Mayer Peter Welinder Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever and Wojciech Zaremba. 2021. Evaluating Large Language Models Trained on Code. arxiv: 2107.03374 [cs.LG]"},{"key":"e_1_3_2_1_7_1","volume-title":"Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension. In 8th International Conference on Learning Representations, ICLR 2020","author":"Chen Xinyun","year":"2020","unstructured":"Xinyun Chen, Chen Liang, Adams Wei Yu, Denny Zhou, Dawn Song, and Quoc V. Le. 2020. Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26--30, 2020. OpenReview.net. https:\/\/openreview.net\/forum?id=ryxjnREFwH"},{"key":"e_1_3_2_1_8_1","unstructured":"Zhoujun Cheng Tianbao Xie Peng Shi Chengzu Li Rahul Nadkarni Yushi Hu Caiming Xiong Dragomir Radev Mari Ostendorf Luke Zettlemoyer Noah A. Smith and Tao Yu. 2023. Binding Language Models in Symbolic Languages. arxiv: 2210.02875 [cs.CL]"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1272"},{"key":"e_1_3_2_1_10_1","unstructured":"Fenia Christopoulou Gerasimos Lampouras Milan Gritta Guchun Zhang Yinpeng Guo Zhongqi Li Qi Zhang Meng Xiao Bo Shen Lin Li Hao Yu Li Yan Pingyi Zhou Xin Wang Yuchi Ma Ignacio Iacobacci Yasheng Wang Guangtai Liang Jiansheng Wei Xin Jiang Qianxiang Wang and Qun Liu. 2022. PanGu-Coder: Program Synthesis with Function-Level Language Modeling. arxiv: 2207.11280 [cs.LG]"},{"key":"e_1_3_2_1_11_1","volume-title":"CodeBERT: A Pre-Trained Model for Programming and Natural Languages. arxiv","author":"Feng Zhangyin","year":"2002","unstructured":"Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, and Ming Zhou. 2020. CodeBERT: A Pre-Trained Model for Programming and Natural Languages. arxiv: 2002.08155 [cs.CL]"},{"key":"e_1_3_2_1_12_1","volume-title":"Luke Zettlemoyer, and Mike Lewis.","author":"Fried Daniel","year":"2023","unstructured":"Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Wen tau Yih, Luke Zettlemoyer, and Mike Lewis. 2023. InCoder: A Generative Model for Code Infilling and Synthesis. arxiv: 2204.05999 [cs.SE]"},{"key":"e_1_3_2_1_13_1","unstructured":"Shibo Hao Tianyang Liu Zhen Wang and Zhiting Hu. 2023. ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings. arxiv: 2305.11554 [cs.CL]"},{"key":"e_1_3_2_1_14_1","unstructured":"Cheng-Yu Hsieh Si-An Chen Chun-Liang Li Yasuhisa Fujii Alexander Ratner Chen-Yu Lee Ranjay Krishna and Tomas Pfister. 2023. Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models. arxiv: 2308.00675 [cs.CL]"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-acl.67"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3571730"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2929141"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.579"},{"key":"e_1_3_2_1_19_1","unstructured":"Raymond Li Loubna Ben Allal Yangtian Zi Niklas Muennighoff Denis Kocetkov Chenghao Mou Marc Marone Christopher Akiki Jia Li Jenny Chim Qian Liu Evgenii Zheltonozhskii Terry Yue Zhuo Thomas Wang Olivier Dehaene Mishig Davaadorj Joel Lamy-Poirier Jo\u00e3o Monteiro Oleh Shliazhko Nicolas Gontier Nicholas Meade Armel Zebaze Ming-Ho Yee Logesh Kumar Umapathi Jian Zhu Benjamin Lipkin Muhtasham Oblokulov Zhiruo Wang Rudra Murthy Jason Stillerman Siva Sankalp Patel Dmitry Abulkhanov Marco Zocca Manan Dey Zhihan Zhang Nour Fahmy Urvashi Bhattacharyya Wenhao Yu Swayam Singh Sasha Luccioni Paulo Villegas Maxim Kunakov Fedor Zhdanov Manuel Romero Tony Lee Nadav Timor Jennifer Ding Claire Schlesinger Hailey Schoelkopf Jan Ebert Tri Dao Mayank Mishra Alex Gu Jennifer Robinson Carolyn Jane Anderson Brendan Dolan-Gavitt Danish Contractor Siva Reddy Daniel Fried Dzmitry Bahdanau Yacine Jernite Carlos Mu\u00f1oz Ferrandis Sean Hughes Thomas Wolf Arjun Guha Leandro von Werra and Harm de Vries. 2023. StarCoder: may the source be with you!arxiv: 2305.06161 [cs.CL]"},{"key":"e_1_3_2_1_20_1","unstructured":"Haotian Liu Chunyuan Li Qingyang Wu and Yong Jae Lee. 2023. Visual Instruction Tuning. arxiv: 2304.08485 [cs.CV]"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.6084\/m9.figshare.5104873.v1"},{"key":"e_1_3_2_1_22_1","volume-title":"Song-Chun Zhu, and Jianfeng Gao.","author":"Lu Pan","year":"2023","unstructured":"Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, and Jianfeng Gao. 2023. Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. arxiv: 2304.09842 [cs.CL]"},{"key":"e_1_3_2_1_23_1","unstructured":"Erik Nijkamp Bo Pang Hiroaki Hayashi Lifu Tu Huan Wang Yingbo Zhou Silvio Savarese and Caiming Xiong. 2023. CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. arxiv: 2203.13474 [cs.LG]"},{"key":"e_1_3_2_1_24_1","unstructured":"OpenAI. 2023. GPT-4 Technical Report. arxiv: 2303.08774 [cs.CL]"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591783"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.294"},{"key":"e_1_3_2_1_27_1","volume-title":"Tamera Lanham, Tim Maxwell, Venkatesa Chandrasekaran, Zac Hatfield-Dodds, Jared Kaplan, Jan Brauner, Samuel R. Bowman, and Ethan Perez.","author":"Radhakrishnan Ansh","year":"2023","unstructured":"Ansh Radhakrishnan, Karina Nguyen, Anna Chen, Carol Chen, Carson Denison, Danny Hernandez, Esin Durmus, Evan Hubinger, Jackson Kernion, Kamil? Luko?i?t?, Newton Cheng, Nicholas Joseph, Nicholas Schiefer, Oliver Rausch, Sam McCandlish, Sheer El Showk, Tamera Lanham, Tim Maxwell, Venkatesa Chandrasekaran, Zac Hatfield-Dodds, Jared Kaplan, Jan Brauner, Samuel R. Bowman, and Ethan Perez. 2023. Question Decomposition Improves the Faithfulness of Model-Generated Reasoning. arxiv: 2307.11768 [cs.CL]"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"e_1_3_2_1_29_1","unstructured":"Baptiste Rozi\u00e8re Jonas Gehring Fabian Gloeckle Sten Sootla Itai Gat Xiaoqing Ellen Tan Yossi Adi Jingyu Liu Tal Remez J\u00e9r\u00e9my Rapin Artyom Kozhevnikov Ivan Evtimov Joanna Bitton Manish Bhatt Cristian Canton Ferrer Aaron Grattafiori Wenhan Xiong Alexandre D\u00e9fossez Jade Copet Faisal Azhar Hugo Touvron Louis Martin Nicolas Usunier Thomas Scialom and Gabriel Synnaeve. 2023. Code Llama: Open Foundation Models for Code. arxiv: 2308.12950 [cs.CL]"},{"key":"e_1_3_2_1_30_1","volume-title":"Toolformer: Language Models Can Teach Themselves to Use Tools. arxiv: 2302.04761 [cs.CL]","author":"Schick Timo","year":"2023","unstructured":"Timo Schick, Jane Dwivedi-Yu, Roberto Dess\u00ec, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. 2023. Toolformer: Language Models Can Teach Themselves to Use Tools. arxiv: 2302.04761 [cs.CL]"},{"key":"e_1_3_2_1_31_1","unstructured":"Yongliang Shen Kaitao Song Xu Tan Dongsheng Li Weiming Lu and Yueting Zhuang. 2023. HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face. arxiv: 2303.17580 [cs.CL]"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1186\/s44147-022-00159--4"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","unstructured":"Sanjay Subramanian Medhini Narasimhan Kushal Khangaonkar Kevin Yang Arsha Nagrani Cordelia Schmid Andy Zeng Trevor Darrell and Dan Klein. 2023. Modular Visual Question Answering via Code Generation. arxiv: 2306.05392 [cs.CL]","DOI":"10.18653\/v1\/2023.acl-short.65"},{"key":"e_1_3_2_1_34_1","unstructured":"Zhiqing Sun Xuezhi Wang Yi Tay Yiming Yang and Denny Zhou. 2023. Recitation-Augmented Language Models. arxiv: 2210.01296 [cs.CL]"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"D\u00eddac Sur\u00eds Sachit Menon and Carl Vondrick. 2023. ViperGPT: Visual Inference via Python Execution for Reasoning. arxiv: 2303.08128 [cs.CV]","DOI":"10.1109\/ICCV51070.2023.01092"},{"key":"e_1_3_2_1_36_1","unstructured":"Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux Timoth\u00e9e Lacroix Baptiste Rozi\u00e8re Naman Goyal Eric Hambro Faisal Azhar Aurelien Rodriguez Armand Joulin Edouard Grave and Guillaume Lample. 2023. LLaMA: Open and Efficient Foundation Language Models. arxiv: 2302.13971 [cs.CL]"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/553"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1443"},{"key":"e_1_3_2_1_39_1","unstructured":"Jiaxin Zhang and Yashar Moshfeghi. 2022. ELASTIC: Numerical Reasoning with Adaptive Symbolic Compiler. In Advances in Neural Information Processing Systems Alice H. Oh Alekh Agarwal Danielle Belgrave and Kyunghyun Cho (Eds.). https:\/\/openreview.net\/forum?id=gd7ZI0X7Q-h"},{"key":"e_1_3_2_1_40_1","unstructured":"Andy Zhou Kai Yan Michal Shlapentokh-Rothman Haohan Wang and Yu-Xiong Wang. 2023. Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models. arxiv: 2310.04406 [cs.AI]"},{"key":"e_1_3_2_1_41_1","unstructured":"Yuchen Zhuang Yue Yu Kuan Wang Haotian Sun and Chao Zhang. 2023. ToolQA: A Dataset for LLM Question Answering with External Tools. arxiv: 2306.13304 [cs.CL]"}],"event":{"name":"SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Washington DC USA","acronym":"SIGIR 2024"},"container-title":["Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626772.3657830","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3626772.3657830","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:39:33Z","timestamp":1755841173000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626772.3657830"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,10]]},"references-count":41,"alternative-id":["10.1145\/3626772.3657830","10.1145\/3626772"],"URL":"https:\/\/doi.org\/10.1145\/3626772.3657830","relation":{},"subject":[],"published":{"date-parts":[[2024,7,10]]},"assertion":[{"value":"2024-07-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}