🧑‍🔬 Who cites Jeff Da

365 citations of their works from 364 papers of our library (of the 141,840 whose bibliographies we read) · 24 with a page here, the most cited first · ← Jeff Da

1. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,056 citations
   Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing SurveysBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,552 citations
   Unifying Large Language Models and Knowledge Graphs: A RoadmapIEEE Transactions on Knowledge and Data EngineeringShirui Pan, Linhao Luo, Yufei Wang, et al.2023 · 1,549 citations
   Symbolic Knowledge Distillation: from General Language Models to Commonsense ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Peter West, Chandra Bhagavatula, Jack Hessel, et al.2022 · 344 citations
2. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingarXiv:2412.05271Zhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 276 citations
3. GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language ModelsarXiv:2410.05229Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, et al.2024 · 262 citations
4. LIMO: Less is More for ReasoningarXiv:2502.03387Yixin Ye, Zhen Huang, Yang Xiao, et al.2025 · 204 citations
   SODA: Million-scale Dialogue Distillation with Social Commonsense ContextualizationConference on Empirical Methods in Natural Language Processing (EMNLP)Hyunwoo Kim, Jack Hessel, Liwei Jiang, et al.2023 · 201 citations
5. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningarXiv:2409.12183Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 133 citations
   FLUTE: Figurative Language Understanding through Textual ExplanationsConference on Empirical Methods in Natural Language Processing (EMNLP)Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.2022 · 132 citations
   LMMs-Eval: Reality Check on the Evaluation of Large Multimodal ModelsFindings of the Association for Computational LinguisticsKaichen Zhang, Bo Li, Peiyuan Zhang, et al.2025 · 110 citations
   Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the ArtTransactions of the Association for Computational Linguistics (TACL)Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen2025 · 89 citations
6. Small Language Models: Survey, Measurements, and InsightsarXiv:2409.15790Zhenyan Lu, Xiang Li, Dongqi Cai, et al.2024 · 88 citations
7. INCLUDE: Evaluating Multilingual Language Understanding with Regional KnowledgearXiv:2411.19799Angelika Romanou, Negar Foroutan, Anna Sotnikova, et al.2024 · 73 citations
8. BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive RetrievalarXiv:2407.12883Hongjin Su, Howard Yen, Mengzhou Xia, et al.2024 · 70 citations
   Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response QualityConference on Empirical Methods in Natural Language Processing (EMNLP)Pei Zhou, Hyundong Cho, Pegah Jandaghi, et al.2022 · 34 citations
   What happens before and after: Multi-Event Commonsense in Event Coreference ResolutionConference of the European Chapter of the Association for Computational Linguistics (EACL)Sahithya Ravi, Chris Tanner, Raymond Ng, et al.2023 · 21 citations
   Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcomChinese National Conference on Computational LinguisticsShisen Yue, Siyuan Song, Xinyuan Cheng, et al.2024 · 19 citations
   Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and ReactionAnnual Meeting of the Association for Computational Linguistics (ACL)Changrong Min, Ximing Li, Liang Yang, et al.2023 · 16 citations
   IEKG: A Commonsense Knowledge Graph for Idiomatic ExpressionsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziheng Zeng, Kellen Tan Cheng, Srihari Venkat Nanniyur, et al.2023 · 11 citations
   I Came, I Saw, I Explained: Benchmarking Multimodal LLMs on Figurative Meaning in MemesLanguage Resources and Evaluation Conference (LREC)Shijia Zhou, Saif M. Mohammad, Barbara Plank, et al.2026
   MUSIA: Multilingual Story Illustration Corpus for Cross-Cultural Alignment and GenerationLanguage Resources and Evaluation Conference (LREC)Krishna Tewari, Supriya Chanda, Nirmit Patil, et al.2026
9. MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense ValidationarXiv:2508.13130Kareem Elozeiri, Mervat Abassy, Preslav Nakov, et al.2025
10. Human Temporal Inferences Go Beyond Aspectual ClassKatarzyna Pruś, Mark Steedman, Adam Lopez2024

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