{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T12:04:23Z","timestamp":1784203463418,"version":"3.55.0"},"reference-count":33,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neural Networks"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.neunet.2026.109077","type":"journal-article","created":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T23:09:49Z","timestamp":1778368189000},"page":"109077","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Are LLMs qualified evaluators and generators of one-liner jokes"],"prefix":"10.1016","volume":"202","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9378-1229","authenticated-orcid":false,"given":"Minghua","family":"Tang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neunet.2026.109077_bib0001","series-title":"ChatGLM: A family of large language models from GLM-130b to GLM-4 all tools","author":"Aohan","year":"2024"},{"key":"10.1016\/j.neunet.2026.109077_bib0002","series-title":"Assessing the capabilities of LLMs in humor: A multi-dimensional analysis of oogiri generation and evaluation","author":"Aoki","year":"2025"},{"key":"10.1016\/j.neunet.2026.109077_bib0003","series-title":"Proceedings of the 1st workshop on computational humor","first-page":"9","article-title":"Text is not all you need: Multimodal prompting helps LLMs understand humor","author":"Ashwin","year":"2025"},{"key":"10.1016\/j.neunet.2026.109077_bib0004","first-page":"17)","article-title":"The general theory of verbal humor","author":"Attardo","year":"2017"},{"issue":"1","key":"10.1016\/j.neunet.2026.109077_bib0005","first-page":"164","article-title":"The construction and application of large language model AI agent based on college english test band four","volume":"13","author":"Chang","year":"2025","journal-title":"International Journal of Research in Engineering and Science (IJRES)"},{"key":"10.1016\/j.neunet.2026.109077_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110261","article-title":"EmoComicNet: A multi-task model for comic emotion recognition","volume":"150","author":"Dutta","year":"2024","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.neunet.2026.109077_bib0007","series-title":"Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: Human language technologies, volume 1 (Long and short papers)","first-page":"1734","article-title":"Pun generation with surprise","author":"He","year":"2019"},{"key":"10.1016\/j.neunet.2026.109077_bib0008","series-title":"Proceedings of the 2022 conference on empirical methods in natural language processing","first-page":"4635","article-title":"Context-situated pun generation","author":"Jiao","year":"2022"},{"key":"10.1016\/j.neunet.2026.109077_bib0009","series-title":"Proceedings of the 1st workshop on computational humor","first-page":"71","article-title":"Can AI make us laugh? Comparing jokes generated by witscript and a human expert","author":"Joe","year":"2025"},{"key":"10.1016\/j.neunet.2026.109077_bib0010","article-title":"Zero-shot strike: Testing the generalisation capabilities of out-of-the-box LLM models for depression detection","volume":"88","author":"Julia","year":"2024","journal-title":"Computer Speech & Language"},{"key":"10.1016\/j.neunet.2026.109077_bib0011","doi-asserted-by":"crossref","DOI":"10.3389\/fpsyg.2023.1324329","article-title":"A lighthearted approach to mindfulness: Development and evaluation of a humor-enriched mindfulness-based program in a randomized trial","volume":"14","author":"Kastner","year":"2024","journal-title":"Frontiers in Psychology"},{"key":"10.1016\/j.neunet.2026.109077_bib0012","series-title":"Proceedings of the 1st workshop on computational humor","first-page":"32","article-title":"Bridging laughter across languages: Generation of hindi-english code-mixed puns","author":"Likhith","year":"2025"},{"key":"10.1016\/j.neunet.2026.109077_bib0013","series-title":"Large language models: A survey","author":"Minaee","year":"2024"},{"key":"10.1016\/j.neunet.2026.109077_bib0014","series-title":"Proceedings of the 1st workshop on computational humor (CHum)","first-page":"79","article-title":"Evaluating human perception and bias in AI-generated humor","author":"Narendra","year":"2025"},{"key":"10.1016\/j.neunet.2026.109077_bib0015","series-title":"Proceedings of the 1st workshop on computational humor (CHum)","first-page":"88","article-title":"The theater stage as laboratory: Review of real-time comedy LLM systems for live performance","author":"Piotr","year":"2025"},{"key":"10.1016\/j.neunet.2026.109077_bib0016","series-title":"The 2024 ACM conference on fairness, accountability, and transparency","first-page":"1622","article-title":"A robot walks into a bar: Can language models serve as creativity support tools for comedy? An evaluation of LLMs\u2019 humour alignment with comedians","author":"Piotr","year":"2024"},{"key":"10.1016\/j.neunet.2026.109077_bib0017","series-title":"Direct preference optimization: Your language model is secretly a reward model","author":"Rafael","year":"2023"},{"key":"10.1016\/j.neunet.2026.109077_bib0018","series-title":"Semantic mechanisms of humor","author":"Raskin","year":"1984"},{"issue":"3","key":"10.1016\/j.neunet.2026.109077_bib0019","article-title":"Are large language models qualified reviewers in originality evaluation?","volume":"62","author":"Shengzhi","year":"2025","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.neunet.2026.109077_bib0020","series-title":"Step by step to stand-up comedy","author":"Steve","year":"2000"},{"key":"10.1016\/j.neunet.2026.109077_bib0021","series-title":"Open problems and fundamental limitations of reinforcement learning from human feedback","author":"Stephen","year":"2023"},{"key":"10.1016\/j.neunet.2026.109077_bib0022","article-title":"Exploring the ability of LLMs to classify written proficiency levels","volume":"90","author":"Susanne","year":"2025","journal-title":"Computer Speech & Language"},{"key":"10.1016\/j.neunet.2026.109077_bib0023","series-title":"Large language models are zero-shot reasoners","author":"Takeshi","year":"2022"},{"key":"10.1016\/j.neunet.2026.109077_bib0024","series-title":"Proceedings of the 15th international conference on computational creativity (iccc 2024)","article-title":"Humor mechanics: Advancing humor generation with multistep reasoning","author":"Tikhonov","year":"2024"},{"key":"10.1016\/j.neunet.2026.109077_bib0025","series-title":"LLM-detector: Improving AI-generated chinese text detection with open-source LLM instruction tuning","author":"Wang","year":"2024"},{"key":"10.1016\/j.neunet.2026.109077_bib0026","series-title":"Advances in Neural Information Processing Systems, 35.","article-title":"Chain-of-thought prompting elicits reasoning in large language models","author":"Wei","year":"2022"},{"key":"10.1016\/j.neunet.2026.109077_bib0027","series-title":"Deepseek LLM: Scaling open-source language models with longtermism","author":"Xiao","year":"2024"},{"key":"10.1016\/j.neunet.2026.109077_bib0028","series-title":"Self-consistency improves chain of thought reasoning in language models","author":"Xuezhi","year":"2022"},{"key":"10.1016\/j.neunet.2026.109077_bib0029","article-title":"Collaborate large and small language models for multi-modal emergency rumor detection","volume":"190","author":"Youcheng","year":"2025","journal-title":"Neural Networks"},{"key":"10.1016\/j.neunet.2026.109077_bib0030","series-title":"Proceedings of the 1st workshop on computational humor","first-page":"878","article-title":"Are u a joke master? Pun generation via multi-stage curriculum learning towards a humor LLM","author":"Yang","year":"2024"},{"key":"10.1016\/j.neunet.2026.109077_bib0031","series-title":"Proceedings of the 1st workshop on computational humor","first-page":"23","article-title":"Homophonic pun generation in code mixed Hindi English","author":"Yash","year":"2025"},{"key":"10.1016\/j.neunet.2026.109077_bib0032","series-title":"Findings of the association for computational linguistics: Emnlp 2022","first-page":"3253","article-title":"A unified framework for pun generation with humor principles","author":"Yufei","year":"2022"},{"issue":"5","key":"10.1016\/j.neunet.2026.109077_bib0033","article-title":"Are LLMs good at structured outputs? A benchmark for evaluating structured output capabilities in LLMs","volume":"61","author":"Yu","year":"2024","journal-title":"Information Processing & Management"}],"container-title":["Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S089360802600537X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S089360802600537X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T11:17:38Z","timestamp":1784200658000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S089360802600537X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":33,"alternative-id":["S089360802600537X"],"URL":"https:\/\/doi.org\/10.1016\/j.neunet.2026.109077","relation":{},"ISSN":["0893-6080"],"issn-type":[{"value":"0893-6080","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Are LLMs qualified evaluators and generators of one-liner jokes","name":"articletitle","label":"Article Title"},{"value":"Neural Networks","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neunet.2026.109077","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"109077"}}