{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/automatic-program-synthesis-of-long-programs","title":"Automatic Program Synthesis of Long Programs with a Learned Garbage Collector","arxiv_id":"1809.04682","date":"2018-09-12","proceeding":"NeurIPS 2018 12","authors":["Amit Zohar","Lior Wolf"],"abstract":"We consider the problem of generating automatic code given sample\ninput-output pairs. We train a neural network to map from the current state and\nthe outputs to the program's next statement. The neural network optimizes\nmultiple tasks concurrently: the next operation out of a set of high level\ncommands, the operands of the next statement, and which variables can be\ndropped from memory. Using our method we are able to create programs that are\nmore than twice as long as existing state-of-the-art solutions, while improving\nthe success rate for comparable lengths, and cutting the run-time by two orders\nof magnitude. Our code, including an implementation of various literature\nbaselines, is publicly available at https://github.com/amitz25/PCCoder","url_abs":"http://arxiv.org/abs/1809.04682v2","url_pdf":"http://arxiv.org/pdf/1809.04682v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"automatic-program-synthesis-of-long-programs","repo_url":"https://github.com/amitz25/PCCoder","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"program-synthesis","task_name":"Program Synthesis"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1809.04682","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1809.04682"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/amitz25/PCCoder","reach":null}],"summary":{"ran_draft_wrong":1},"by_repo_kind":{},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":1,"samples":[{"code_sha256_prefix":"e629f07b6ec5ad50","entry":"load_problems","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"e629f07b6ec5ad50"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}