{"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/meep-an-open-source-platform-for-human-human","title":"MEEP: An Open-Source Platform for Human-Human Dialog Collection and End-to-End Agent Training","arxiv_id":"2010.04747","date":"2020-10-09","proceeding":null,"authors":["Arkady Arkhangorodsky","Amittai Axelrod","Christopher Chu","Scot Fang","Yiqi Huang","Ajay Nagesh","Xing Shi","Boliang Zhang","Kevin Knight"],"abstract":"We create a new task-oriented dialog platform (MEEP) where agents are given considerable freedom in terms of utterances and API calls, but are constrained to work within a push-button environment. We include facilities for collecting human-human dialog corpora, and for training automatic agents in an end-to-end fashion. We demonstrate MEEP with a dialog assistant that lets users specify trip destinations.","url_abs":"https://arxiv.org/abs/2010.04747v1","url_pdf":"https://arxiv.org/pdf/2010.04747v1.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":"meep-an-open-source-platform-for-human-human","repo_url":"https://github.com/didi/meep","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}