{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T23:25:50Z","timestamp":1770333950944,"version":"3.49.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T00:00:00Z","timestamp":1698624000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T00:00:00Z","timestamp":1698624000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006751","name":"U.S. Army","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006751","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,30]]},"DOI":"10.1109\/milcom58377.2023.10356332","type":"proceedings-article","created":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T14:37:01Z","timestamp":1703515021000},"page":"944-949","source":"Crossref","is-referenced-by-count":9,"title":["Counterexample Guided Inductive Synthesis Using Large Language Models and Satisfiability Solving"],"prefix":"10.1109","author":[{"given":"Sumit Kumar","family":"Jha","sequence":"first","affiliation":[{"name":"Florida International University,Computer Science Department"}]},{"given":"Susmit","family":"Jha","sequence":"additional","affiliation":[{"name":"Computer Science Laboratory SRI International"}]},{"given":"Patrick","family":"Lincoln","sequence":"additional","affiliation":[{"name":"Computer Science Laboratory SRI International"}]},{"given":"Nathaniel D.","family":"Bastian","sequence":"additional","affiliation":[{"name":"United States Military Academy,Army Cyber Institute"}]},{"given":"Alvaro","family":"Velasquez","sequence":"additional","affiliation":[{"name":"University of Colorado,Department of Computer Science,Boulder"}]},{"given":"Rickard","family":"Ewetz","sequence":"additional","affiliation":[{"name":"University of Central Florida,Electrical and Computer Engineering"}]},{"given":"Sandeep","family":"Neema","sequence":"additional","affiliation":[{"name":"Vanderbilt University,Electrical and Computer Engineering"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Evaluating large language models trained on code","author":"Chen","year":"2021"},{"key":"ref2","article-title":"Llm-planner: Few-shot grounded planning for embodied agents with large language models","author":"Song","year":"2022"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.236"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3571730"},{"key":"ref5","first-page":"9118","article-title":"Language models as zero-shot planners: Extracting actionable knowledge for embodied agents","volume-title":"International Conference on Machine Learning","author":"Huang"},{"key":"ref6","article-title":"Codegen: An open large language model for code with multi-turn program synthesis","author":"Nijkamp","year":"2022"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE48619.2023.00207"},{"key":"ref8","article-title":"Inner monologue: Embodied reasoning through planning with language models","author":"Huang","year":"2022"},{"key":"ref9","article-title":"On the planning abilities of large language models (a critical investigation with a proposed benchmark)","author":"Valmeekam","year":"2023"},{"key":"ref10","article-title":"Large language models still can\u2019t plan (a benchmark for llms on planning and reasoning about change)","author":"Valmeekam","year":"2022"},{"key":"ref11","article-title":"The next decade in ai: four steps towards robust artificial intelligence","author":"Marcus","year":"2020"},{"key":"ref12","article-title":"Mixout: Effective regularization to finetune large-scale pretrained language models","author":"Lee","year":"2019"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.4314839"},{"key":"ref14","article-title":"Preserving in-context learning ability in large language model fine-tuning","author":"Wang","year":"2022"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2754499"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.113"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.346"},{"key":"ref18","article-title":"Scaling transformer to 1m tokens and beyond with rmt","author":"Bulatov","year":"2023"},{"key":"ref19","article-title":"Responsible reasoning with large language models and the impact of proper nouns","volume-title":"Workshop on Trustworthy and Socially Responsible ML, NeurIPS","author":"Jha"},{"key":"ref20","volume-title":"Towards automated system synthesis using sciduction","author":"Jha","year":"2011"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1806799.1806833"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1168918.1168907"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s00236-017-0294-5"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-78800-3_24"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/BF00116828"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICAA58325.2023.00029"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(92)90028-V"},{"key":"ref28","article-title":"Neuro symbolic reasoning for planning: Counterexample guided inductive synthesis using large language models and satisfiability solving","author":"Jha","year":"2023"}],"event":{"name":"MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)","location":"Boston, MA, USA","start":{"date-parts":[[2023,10,30]]},"end":{"date-parts":[[2023,11,3]]}},"container-title":["MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10356123\/10356124\/10356332.pdf?arnumber=10356332","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T15:29:03Z","timestamp":1705073343000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10356332\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,30]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/milcom58377.2023.10356332","relation":{},"subject":[],"published":{"date-parts":[[2023,10,30]]}}}