🧑‍🔬 Who cites Melissa Roemmele

151 citations of their works from 151 papers of our library (of the 149,439 whose bibliographies we read) · 27 with a page here, the most cited first · ← Melissa Roemmele

1. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Conference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Xinxi Lyu, Ari Holtzman, et al.2022 · 1,444 citations
2. It's Not Just Size That Matters: Small Language Models Are Also Few-Shot LearnersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Timo Schick, Hinrich Schütze2021 · 1,132 citations
3. IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian LanguagesFindings of the Association for Computational LinguisticsDivyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, et al.2020 · 732 citations
4. BloombergGPT: A Large Language Model for FinancearXiv:2303.17564Shijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 618 citations
5. Few-shot Learning with Multilingual Language ModelsarXiv:2112.10668Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al.2021 · 500 citations
6. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsarXiv:2112.06905Nan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 496 citations
7. Language Models are Multilingual Chain-of-Thought ReasonersarXiv:2210.03057Freda Shi, Mirac Suzgun, Markus Freitag, et al.2022 · 494 citations
8. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 443 citations
9. An Information-theoretic Approach to Prompt Engineering Without Ground Truth LabelsAnnual Meeting of the Association for Computational Linguistics (ACL)Taylor Sorensen, Joshua Robinson, Christopher Rytting, et al.2022 · 180 citations
10. What to Pre-Train on? Efficient Intermediate Task SelectionConference on Empirical Methods in Natural Language Processing (EMNLP)Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, et al.2021 · 132 citations
11. Knowledge Unlearning for Mitigating Privacy Risks in Language ModelsarXiv:2210.01504Joel Jang, Dongkeun Yoon, Sohee Yang, et al.2022 · 131 citations
12. Improved Natural Language Generation via Loss TruncationAnnual Meeting of the Association for Computational Linguistics (ACL)Daniel Kang, Tatsunori B. Hashimoto2020 · 130 citations
13. Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via DebateFindings of the Association for Computational LinguisticsKai Xiong, Xiao Ding, Yixin Cao, et al.2023 · 94 citations
14. Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse RelationsFindings of the Association for Computational LinguisticsChunkit Chan, Cheng Jiayang, Weiqi Wang, et al.2024 · 92 citations
15. Culturally Aware Natural Language InferenceFindings of the Association for Computational LinguisticsJing Huang, Diyi Yang2023 · 61 citations
16. Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task ArithmeticAnnual Meeting of the Association for Computational Linguistics (ACL)Rishabh Bhardwaj, Duc Anh Do, Soujanya Poria2024 · 59 citations
17. Through the Lens of Core Competency: Survey on Evaluation of Large Language ModelsarXiv:2308.07902Ziyu Zhuang, Qiguang Chen, Longxuan Ma, et al.2023 · 35 citations
18. IberoBench: A Benchmark for LLM Evaluation in Iberian LanguagesInternational Conference on Computational Linguistics (COLING)Irene Baucells, Javier Aula-Blasco, Iria de-Dios-Flores, et al.2025 · 24 citations
19. Culturally-Nuanced Story Generation for Reasoning in Low-Resource Languages: The Case of Javanese and SundaneseWorkshop on Multilingual Representation LearningSalsabila Zahirah Pranida, Rifo Ahmad Genadi, Fajri Koto2025 · 8 citations
20. Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum LearningConference of the European Chapter of the Association for Computational Linguistics (EACL)Yang Zhang, Amr Mohamed, Hadi Abdine, et al.2026 · 7 citations
21. Comparing Human and Large Language Model Interpretation of Implicit InformationFindings of the Association for Computational LinguisticsAntonio De Santis, Tommaso Bonetti, Andrea Tocchetti, et al.2026 · 2 citations
22. Deputy: Accelerating Large Language Model Inference with Dynamic Low-Rank SubstitutionFindings of the Association for Computational LinguisticsYuhua Zhou, Shichao Weng, Changhai Zhou, et al.2026 · 1 citation
23. Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Atsuki Yamaguchi, Maggie Mi, Nikolaos Aletras2026 · 1 citation
24. Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data SelectionFindings of the Association for Computational LinguisticsJoe Stacey, Lisa Alazraki, Aran Ubhi, et al.2026 · 1 citation
25. QRAFT: QLoRA Retrieval-Augmented Fine-Tuning for Causal Span Extraction in Financial DocumentsFinancial Narrative Processing WorkshopBavya Sarda, Pulkit Chatwal, Sonal Dabral2026 · 1 citation
26. Can a Remedy Find a Researcher? Exploring the Development of Semantic Knowledge in Italian BabyLMsJoint Conference on Lexical and Computational Semantics (*SEM)Alice Suozzi, Luca Capone, Gianluca Lebani, et al.2026
27. The Validity of Coreference-based Evaluations of Natural Language UnderstandingarXiv:2602.16200Ian Porada2026

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