{"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/discosense-commonsense-reasoning-with","title":"DiscoSense: Commonsense Reasoning with Discourse Connectives","arxiv_id":"2210.12478","date":"2022-10-22","proceeding":null,"authors":["Prajjwal Bhargava","Vincent Ng"],"abstract":"We present DiscoSense, a benchmark for commonsense reasoning via understanding a wide variety of discourse connectives. We generate compelling distractors in DiscoSense using Conditional Adversarial Filtering, an extension of Adversarial Filtering that employs conditional generation. We show that state-of-the-art pre-trained language models struggle to perform well on DiscoSense, which makes this dataset ideal for evaluating next-generation commonsense reasoning systems.","url_abs":"https://arxiv.org/abs/2210.12478v1","url_pdf":"https://arxiv.org/pdf/2210.12478v1.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":"discosense-commonsense-reasoning-with","repo_url":"https://github.com/prajjwal1/discosense","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"sentence-completion","task_name":"Sentence Completion"}],"methods":[],"datasets_introduced":[{"slug":"discosense","name":"DiscoSense","full_name":""}],"methods_introduced":[],"results":[{"leaderboard":"/sota/sentence-completion-on-hellaswag","task":"Sentence Completion","dataset":"HellaSwag","model":"ELECTRA-Large 335M (fine-tuned on DiscoSense and HellaSwag)","rank_in_archive_order":12,"of":89,"metrics":{"Accuracy":"91.5"},"uses_additional_data":false},{"leaderboard":"/sota/sentence-completion-on-hellaswag","task":"Sentence Completion","dataset":"HellaSwag","model":"ELECTRA-Large 335M (fine-tuned on HellaSwag)","rank_in_archive_order":17,"of":89,"metrics":{"Accuracy":"86.9"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2210.12478","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}