--- format: "aidr-story-markdown/v1" id: "907f7cc5294e78df617659d6ee348ef2162babf2781bb182276a960987007b26" canonical_url: "https://aidr.today/907f7cc5?lang=en" title: "TMLR Editor Nihar Shah Spends 20 Hours Confirming Authors Lack Knowledge of Their Papers" lang: "en" requested_lang: "en" available_langs: ["en","vi"] translation_fallback: null fallback_fields: [] published_at: "2026-09-17T08:51:31.000Z" category: "Research" topics: ["tmlr","academic-integrity","low-quality-submissions","author-interviews","research","nihar-shah","machine-learning"] source_urls: ["https://marketbrief.now/ai/tmlr-editor-nihar-shah-spends-20-hours-confirming-authors-lack-knowledge-a16d41f4","https://huggingnews.com/ai/tmlr-editor-nihar-shah-spends-20-hours-confirming-authors-lack-knowledge-a16d41f4"] summary: "Academic researcher Nihar Shah conducted a series of interviews with authors of low-quality submissions to the Transactions on Machine Learning Research (TMLR)…" --- # TMLR Editor Nihar Shah Spends 20 Hours Confirming Authors Lack Knowledge of Their Papers > [Open the canonical story]() **Published:** 2026-09-17T08:51:31.000Z **Category:** Research **Topics:** tmlr, academic\-integrity, low\-quality\-submissions, author\-interviews, research, nihar\-shah, machine\-learning ## Summary Academic researcher Nihar Shah conducted a series of interviews with authors of low\-quality submissions to the Transactions on Machine Learning Research \(TMLR\)… ## Sources - [Story source]() - [Story source]()