--- title: "Yale University — works" description: "42 works by researchers of Yale University in our library, the most cited first." canonical: "https://research.elamur.ai/free/en/universities/yale-university/works/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/universities/yale-university/works/) [home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [universities](https://md.research.elamur.ai/free/en/universities/) / [Yale University](https://md.research.elamur.ai/free/en/universities/yale-university/) / works # Works of Yale University 42 works · the most cited first · [← Yale University](https://md.research.elamur.ai/free/en/universities/yale-university/) 1. [**Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task**Tao Yu, Rui Zhang, Kai Yang, et al.*2018 · 1,582 citations*](https://md.research.elamur.ai/free/en/papers/yu-2018-spider-large-scale-human-labeled/) 2. [**Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model**Alexander Fabbri, Irene Li, Tianwei She, et al.*2019 · 738 citations*](https://md.research.elamur.ai/free/en/papers/fabbri-2019-multi-news-large-scale-multi/) 3. [**Crosslingual Generalization through Multitask Finetuning**Niklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.*2022 · 692 citations*](https://md.research.elamur.ai/free/en/papers/muennighoff-2022-crosslingual-generalization-through-multitask-finetuning/) 4. [**Instruction-Following Evaluation for Large Language Models**Jeffrey Zhou, Tianjian Lu, Swaroop Mishra, et al.*2023 · 586 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-instruction-following-evaluation-large-language/) 5. [**ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs**Yujia Qin, Shihao Liang, Yining Ye, et al.*2023 · 564 citations*](https://md.research.elamur.ai/free/en/papers/qin-2023-toolllm-facilitating-large-language-models/) 6. [**Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models**Matthew Dahl, Varun Magesh, Mirac Suzgun, et al.*2024 · 431 citations*](https://md.research.elamur.ai/free/en/papers/dahl-2024-large-legal-fictions-profiling-legal/) 7. [**UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models**Tianbao Xie, Chen Henry Wu, Peng Shi, et al.*2022 · 405 citations*](https://md.research.elamur.ai/free/en/papers/xie-2022-unifiedskg-unifying-multi-tasking-structured/) 8. [**QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization**Ming Zhong, Da Yin, Tao Yu, et al.*2021 · 397 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2021-qmsum-new-benchmark-query-based/) 9. [**Open Sesame: Getting inside BERT's Linguistic Knowledge**Yongjie Lin, Yi Chern Tan, Robert Frank*2019 · 379 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-open-sesame-getting-inside-bert/) 10. [**BRIO: Bringing Order to Abstractive Summarization**Yixin Liu, Pengfei Liu, Dragomir Radev, et al.*2022 · 357 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-brio-bringing-order-abstractive-summarization/) 11. [**Improving Text-to-SQL Evaluation Methodology**Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, et al.*2018 · 350 citations*](https://md.research.elamur.ai/free/en/papers/dollak-2018-improving-text-sql-evaluation-methodology/) 12. [**Graph-based Neural Multi-Document Summarization**Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, et al.*2017 · 346 citations*](https://md.research.elamur.ai/free/en/papers/yasunaga-2017-graph-based-neural-multi-document/) 13. [**MEDITRON-70B: Scaling Medical Pretraining for Large Language Models**Zeming Chen, Alejandro Hernandez Cano, Angelika Romanou, et al.*2023 · 307 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-meditron-70b-scaling-medical-pretraining/) 14. [**TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL Generation**Tao Yu, Zifan Li, Zilin Zhang, et al.*2018 · 301 citations*](https://md.research.elamur.ai/free/en/papers/yu-2018-typesql-knowledge-based-type-aware/) 15. [**Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools**Varun Magesh, Faiz Surani, Matthew Dahl, et al.*2024 · 267 citations*](https://md.research.elamur.ai/free/en/papers/magesh-2024-hallucination-free-assessing-reliability-leading/) 16. [**CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases**Tao Yu, Rui Zhang, Heyang Er, et al.*2019 · 261 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-cosql-conversational-text-sql-challenge/) 17. [**MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning**Xiangru Tang, Anni Zou, Zhuosheng Zhang, et al.*2024 · 244 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-medagents-large-language-models-as/) 18. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/) 19. [**FeTaQA: Free-form Table Question Answering**Linyong Nan, Chiachun Hsieh, Ziming Mao, et al.*2022 · 234 citations*](https://md.research.elamur.ai/free/en/papers/nan-2022-fetaqa-free-form-table-question/) 20. [**SParC: Cross-Domain Semantic Parsing in Context**Tao Yu, Rui Zhang, Michihiro Yasunaga, et al.*2019 · 227 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-sparc-cross-domain-semantic-parsing/) 21. [**TrustLLM: Trustworthiness in Large Language Models**Yue Huang, Lichao Sun, Haoran Wang, et al.*2024 · 226 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/) 22. [**FOLIO: Natural Language Reasoning with First-Order Logic**Simeng Han, Hailey Schoelkopf, Yilun Zhao, et al.*2022 · 217 citations*](https://md.research.elamur.ai/free/en/papers/han-2022-folio-natural-language-reasoning-first/) 23. [**Binding Language Models in Symbolic Languages**Zhoujun Cheng, Tianbao Xie, Peng Shi, et al.*2022 · 165 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2022-binding-language-models-symbolic-languages/) 24. [**PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts**Stephen H. Bach, Victor Sanh, Zheng-Xin Yong, et al.*2022 · 164 citations*](https://md.research.elamur.ai/free/en/papers/bach-2022-promptsource-integrated-development-environment-repository/) 25. [**DART: Open-Domain Structured Data Record to Text Generation**Linyong Nan, Dragomir Radev, Rui Zhang, et al.*2020 · 154 citations*](https://md.research.elamur.ai/free/en/papers/nan-2020-dart-open-domain-structured-data/) 26. [**ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics**Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, et al.*2023 · 141 citations*](https://md.research.elamur.ai/free/en/papers/azerbayev-2023-proofnet-autoformalizing-formally-proving-undergraduate/) 27. [**Investigating Data Contamination in Modern Benchmarks for Large Language Models**Chunyuan Deng, Yilun Zhao, Xiangru Tang, et al.*2024 · 137 citations*](https://md.research.elamur.ai/free/en/papers/deng-2024-investigating-data-contamination-modern-benchmarks/) 28. [**Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks**R. Thomas McCoy, Robert Frank, Tal Linzen*2020 · 122 citations*](https://md.research.elamur.ai/free/en/papers/mccoy-2020-does-syntax-need-grow-trees/) 29. [**DocNLI: A Large-scale Dataset for Document-level Natural Language Inference**Wenpeng Yin, Dragomir Radev, Caiming Xiong*2021 · 121 citations*](https://md.research.elamur.ai/free/en/papers/yin-2021-docnli-large-scale-dataset-document/) 30. [**Sarcasm Analysis Using Conversation Context**Debanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan*2018 · 118 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2018-sarcasm-analysis-conversation-context/) 31. [**Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation**Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.*2022 · 116 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-revisiting-gold-standard-grounding-summarization/) 32. [**LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization**Kalpesh Krishna, Erin Bransom, Bailey Kuehl, et al.*2023 · 112 citations*](https://md.research.elamur.ai/free/en/papers/krishna-2023-longeval-guidelines-human-evaluation-faithfulness/) 33. [**The Role of Conversation Context for Sarcasm Detection in Online Interactions**Debanjan Ghosh, Alexander Richard Fabbri, Smaranda Muresan*2017 · 99 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2017-role-conversation-context-sarcasm-detection/) 34. [**Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering**Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, et al.*2018 · 83 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-neural-coreference-resolution-deep-biaffine/) 35. [**(*)ABA in Germanic verbs**Samuel Andersson*2018 · 10 citations*](https://md.research.elamur.ai/free/en/papers/andersson-2018-aba-germanic-verbs/) 36. [**Datives, data and dialect syntax in American English**Jim Wood, Raffaella Zanuttini*2018 · 10 citations*](https://md.research.elamur.ai/free/en/papers/wood-2018-datives-data-dialect-syntax-american/) 37. [**Detecting Syntactic Change Using a Neural Part-of-Speech Tagger**William Merrill, Gigi Stark, Robert Frank*2019 · 4 citations*](https://md.research.elamur.ai/free/en/papers/merrill-2019-detecting-syntactic-change-neural-part/) 38. [**Subject-verb agreement with Seq2Seq transformers: Bigger is better, but still not best**Michael Wilson, Zhenghao Zhou, Robert Frank*2023 · 3 citations*](https://md.research.elamur.ai/free/en/papers/wilson-2023-subject-verb-agreement-seq2seq-transformers/) 39. [**Rosetta at AlexandriaX-2026: LoRA-Adapted NileChat for Context-Aware Dialectal Arabic Dialogue Translation**Nada Esmaeil, Fathima Rena, Sibi Subhash, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/esmaeil-2026-rosetta-alexandriax-2026-lora-adapted/) 40. [**Advancing Complex Medical Communication in Arabic with Sporo AraSum: Surpassing Existing Large Language Models**Chanseo Lee, Sonu Kumar, Kimon A. Vogt, et al.*2024*](https://md.research.elamur.ai/free/en/papers/lee-2024-advancing-complex-medical-communication-arabic/) 41. [**SemToken: Semantic-Aware Tokenization for Efficient Long-Context Language Models**Dong Liu, Yanxuan Yu*2026*](https://md.research.elamur.ai/free/en/papers/liu-2026-semtoken-semantic-aware-tokenization-efficient/) 42. [**Assessing Suicide Risk in Arabic Crisis Helpline Calls: A Comparison of Arabic and English Large Language Models**Linhai Ma, Rita El Hachem, Mahatab El Hajj, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ma-2026-assessing-suicide-risk-arabic-crisis/) - [← Back to Yale University](https://md.research.elamur.ai/free/en/universities/yale-university/)