--- title: "Diyi Yang — papers and cards" description: "Diyi Yang: 4 paper cards in the Research library (2022–2023), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/diyi-yang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/diyi-yang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Diyi Yang # Diyi Yang 4 paper cards in the Research library · 2022–2023 Diyi Yang wrote 4 of the papers Mova reads, in 2022–2023; often with [Caleb Ziems](https://md.research.elamur.ai/free/en/authors/caleb-ziems/), [William Held](https://md.research.elamur.ai/free/en/authors/william-held/), [Bingsheng Yao](https://md.research.elamur.ai/free/en/authors/bingsheng-yao/). [OpenAlex](https://openalex.org/A5089413311) · [ORCID](https://orcid.org/0000-0003-1220-3983) · [**h-index 49**](https://openalex.org/authors/A5089413311) · [14510 citations](https://openalex.org/authors/A5089413311) · [281 works](https://openalex.org/works?filter=author.id:A5089413311) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Diyi+Yang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Diyi+Yang) · [dblp](https://dblp.org/search?q=Diyi+Yang) · [ACL Anthology](https://aclanthology.org/search/?q=Diyi+Yang) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Diyi+Yang) ## Papers 1. **[Multi-VALUE: A Framework for Cross-Dialectal English NLP](https://md.research.elamur.ai/free/en/papers/ziems-2023-multi-value-framework-cross-dialectal/)** *(2023)* Multi-VALUE is a rule-based translator from Standard American English into 50 English dialects, built on the eWAVE catalogue of 235 features. 2. **[DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules](https://md.research.elamur.ai/free/en/papers/liu-2023-dada-dialect-adaptation-dynamic-aggregation/)** *(2023)* DADA adapts a model trained on Standard American English to English dialects without a dialect classifier. 3. **[Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension](https://md.research.elamur.ai/free/en/papers/xu-2022-fantastic-questions-where-find-them/)** *(2022)* FairytaleQA is a question-answering dataset for narrative comprehension aimed at the reading level of kindergarten to eighth-grade children. 4. **[VALUE: Understanding Dialect Disparity in NLU](https://md.research.elamur.ai/free/en/papers/ziems-2022-value-understanding-dialect-disparity-nlu/)** *(2022)* The paper builds VALUE, a version of the GLUE benchmark transformed into synthetic African American Vernacular English (AAVE). ## Co-authors (26) - [Caleb Ziems](https://md.research.elamur.ai/free/en/authors/caleb-ziems/) ×2 - [William Held](https://md.research.elamur.ai/free/en/authors/william-held/) ×2 - [Bingsheng Yao](https://md.research.elamur.ai/free/en/authors/bingsheng-yao/) - Branda Sun - Camille Harris - [Dakuo Wang](https://md.research.elamur.ai/free/en/authors/dakuo-wang/) - Daniel Ritchie - Jessica Anderson - Jiaao Chen - Jingfeng Yang - Jwala Dhamala - Mark Warschauer - [Mo Yu](https://md.research.elamur.ai/free/en/authors/mo-yu/) - [Nanyun Peng](https://md.research.elamur.ai/free/en/authors/nanyun-peng/) - Nora Bradford - Rahul Gupta - [Toby Jia-Jun Li](https://md.research.elamur.ai/free/en/authors/toby-jia-jun-li/) - [Tongshuang Wu](https://md.research.elamur.ai/free/en/authors/tongshuang-wu/) - Tran Bao Hoang - Xiaojuan Ma - Yanchen Liu - [Ying Xu](https://md.research.elamur.ai/free/en/authors/ying-xu/) - Yisi Sang - [Yufang Hou](https://md.research.elamur.ai/free/en/authors/yufang-hou/) - [Zheng Zhang](https://md.research.elamur.ai/free/en/authors/zheng-zhang/) - [Zhou Yu](https://md.research.elamur.ai/free/en/authors/zhou-yu/) ## More papers in the library (16) Pages of the Research library: our summary, the ideas, references and who cites each. - [Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)](https://md.research.elamur.ai/free/en/papers/anon-2025-proceedings-fourth-workshop-bridging-human/) — Su Lin Blodgett, Amanda Cercas Curry, Sunipa Dev, et al. · 2025 - [Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers](https://md.research.elamur.ai/free/en/papers/si-2024-llms-generate-novel-research/) — Chenglei Si, Diyi Yang, Tatsunori Hashimoto · 2024 - [How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2024-how-johnny-can-persuade-llms/) — Yi Zeng, Hongpeng Lin, Jingwen Zhang, et al. · 2024 - [An Empirical Survey of Data Augmentation for Limited Data Learning in NLP](https://md.research.elamur.ai/free/en/papers/chen-2023-empirical-survey-data-augmentation-limited/) — Jiaao Chen, Derek Tam, Colin Raffel, et al. · 2023 - [Benchmarking Machine Translation with Cultural Awareness](https://md.research.elamur.ai/free/en/papers/yao-2023-benchmarking-machine-translation-cultural-awareness/) — Binwei Yao, Ming Jiang, Tara Bobinac, et al. · 2023 - [Can Large Language Models Transform Computational Social Science?](https://md.research.elamur.ai/free/en/papers/ziems-2023-large-language-models-transform-computational/) — Caleb Ziems, William Held, Omar Shaikh, et al. · 2023 - [Culturally Aware Natural Language Inference](https://md.research.elamur.ai/free/en/papers/huang-2023-culturally-aware-natural-language-inference/) — Jing Huang, Diyi Yang · 2023 - [Is ChatGPT a General-Purpose Natural Language Processing Task Solver?](https://md.research.elamur.ai/free/en/papers/qin-2023-chatgpt-general-purpose-natural-language/) — Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al. · 2023 - [Modeling Cross-Cultural Pragmatic Inference with Codenames Duet](https://md.research.elamur.ai/free/en/papers/shaikh-2023-modeling-cross-cultural-pragmatic-inference/) — Omar Shaikh, Caleb Ziems, William Held, et al. · 2023 - [On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning](https://md.research.elamur.ai/free/en/papers/shaikh-2023-second-thought-let-s-not/) — Omar Shaikh, Hongxin Zhang, William Held, et al. · 2023 - [Latent Hatred: A Benchmark for Understanding Implicit Hate Speech](https://md.research.elamur.ai/free/en/papers/elsherief-2021-latent-hatred-benchmark-understanding-implicit/) — Mai ElSherief, Caleb Ziems, David Muchlinski, et al. · 2021 - [The Importance of Modeling Social Factors of Language: Theory and Practice](https://md.research.elamur.ai/free/en/papers/hovy-2021-importance-modeling-social-factors-language/) — Dirk Hovy, Diyi Yang · 2021 - [Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization](https://md.research.elamur.ai/free/en/papers/chen-2020-multi-view-sequence-sequence-models/) — Jiaao Chen, Diyi Yang · 2020 - [ToTTo: A Controlled Table-To-Text Generation Dataset](https://md.research.elamur.ai/free/en/papers/parikh-2020-totto-controlled-table-text-generation/) — Ankur Parikh, Xuezhi Wang, Sebastian Gehrmann, et al. · 2020 - [Hierarchical Attention Networks for Document Classification](https://md.research.elamur.ai/free/en/papers/yang-2016-hierarchical-attention-networks-document-classification/) — Zichao Yang, Diyi Yang, Chris Dyer, et al. · 2016 - [That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets](https://md.research.elamur.ai/free/en/papers/wang-2015-that-s-so-annoying-lexical/) — William Yang Wang, Diyi Yang · 2015