{"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/the-second-conversational-intelligence","title":"The Second Conversational Intelligence Challenge (ConvAI2)","arxiv_id":"1902.00098","date":"2019-01-31","proceeding":null,"authors":["Emily Dinan","Varvara Logacheva","Valentin Malykh","Alexander Miller","Kurt Shuster","Jack Urbanek","Douwe Kiela","Arthur Szlam","Iulian Serban","Ryan Lowe","Shrimai Prabhumoye","Alan W. black","Alexander Rudnicky","Jason Williams","Joelle Pineau","Mikhail Burtsev","Jason Weston"],"abstract":"We describe the setting and results of the ConvAI2 NeurIPS competition that\naims to further the state-of-the-art in open-domain chatbots. Some key\ntakeaways from the competition are: (i) pretrained Transformer variants are\ncurrently the best performing models on this task, (ii) but to improve\nperformance on multi-turn conversations with humans, future systems must go\nbeyond single word metrics like perplexity to measure the performance across\nsequences of utterances (conversations) -- in terms of repetition, consistency\nand balance of dialogue acts (e.g. how many questions asked vs. answered).","url_abs":"http://arxiv.org/abs/1902.00098v1","url_pdf":"http://arxiv.org/pdf/1902.00098v1.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":"the-second-conversational-intelligence","repo_url":"https://github.com/af1tang/personaGPT","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"GPL-3.0"}},{"paper_slug":"the-second-conversational-intelligence","repo_url":"https://github.com/illidanlab/personaGPT","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"GPL-3.0"}}],"tasks":[],"methods":[{"method_slug":"absolute-position-encodings","method_name":"Absolute Position Encodings"},{"method_slug":"adam","method_name":"Adam"},{"method_slug":"attention","method_name":"Attention"},{"method_slug":"bpe","method_name":"BPE"},{"method_slug":"dense-connections","method_name":"Dense Connections"},{"method_slug":"dropout","method_name":"Dropout"},{"method_slug":"label-smoothing","method_name":"Label Smoothing"},{"method_slug":"layer-normalization","method_name":"Layer Normalization"},{"method_slug":"linear-layer","method_name":"Linear Layer"},{"method_slug":"multi-head-attention","method_name":"Multi-Head Attention"},{"method_slug":"position-wise-feed-forward-layer","method_name":"Position-Wise Feed-Forward Layer"},{"method_slug":"relu","method_name":"ReLU"},{"method_slug":"residual-connection","method_name":"Residual Connection"},{"method_slug":"softmax","method_name":"Softmax"},{"method_slug":"transformer","method_name":"Transformer"}],"datasets_introduced":[{"slug":"convai2","name":"ConvAI2","full_name":"Conversational Intelligence Challenge 2"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1902.00098","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}