--- title: "Saarbrücken — works of 2023: 19 papers, the most cited first" description: "19 works of Saarbrücken from 2023 in our library, the most cited first. Among them: \"Do Anything Now\": Characterizing and Evaluating…" canonical: "https://research.elamur.ai/free/en/agglomerations/saarbrucken/year/2023/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/saarbrucken/year/2023/) [home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [agglomerations](https://md.research.elamur.ai/free/en/agglomerations/) / [Saarbrücken](https://md.research.elamur.ai/free/en/agglomerations/saarbrucken/) / 2023 # Works of Saarbrücken from 2023 19 works · the most cited first · [← Saarbrücken](https://md.research.elamur.ai/free/en/agglomerations/saarbrucken/) 1. [**"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models arXiv:2308.03825**Xinyue Shen, Zeyuan Chen, Michael Backes, et al.*2023 · 329 citations*](https://md.research.elamur.ai/free/en/papers/shen-2023-anything-now-characterizing-evaluating-wild/) 2. [**Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection arXiv:2302.12173**Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, et al.*2023 · 239 citations*](https://md.research.elamur.ai/free/en/papers/greshake-2023-ve-signed-up-compromising-real/) 3. [**LawBench: Benchmarking Legal Knowledge of Large Language Models arXiv:2309.16289**Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.*2023 · 188 citations*](https://md.research.elamur.ai/free/en/papers/fei-2023-lawbench-benchmarking-legal-knowledge-large/) 4. [**The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset arXiv:2303.03915**Hugo Laurençon, Lucile Saulnier, Thomas Wang, et al.*2023 · 150 citations*](https://md.research.elamur.ai/free/en/papers/lauren-ccon-2023-bigscience-roots-corpus-1-6tb/) 5. **[Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation](https://md.research.elamur.ai/free/en/papers/mosbach-2023-few-shot-fine-tuning-vs/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, et al.*2023 · 148 citations* 6. [**SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects arXiv:2309.07445**David Ifeoluwa Adelani, Hannah Liu, Xiaoyu Shen, et al.*2023 · 136 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2023-sib-200-simple-inclusive-big/) 7. **[We're Afraid Language Models Aren't Modeling Ambiguity](https://md.research.elamur.ai/free/en/papers/liu-2023-we-re-afraid-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alisa Liu, Zhaofeng Wu, Julian Michael, et al.*2023 · 110 citations* 8. **[MasakhaNEWS: News Topic Classification for African languages](https://md.research.elamur.ai/free/en/papers/adelani-2023-masakhanews-news-topic-classification-african/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**David Ifeoluwa Adelani, Marek Masiak, Israel Abebe Azime, et al.*2023 · 81 citations* 9. [**Entity Tracking in Language Models arXiv:2305.02363**Najoung Kim, Sebastian Schuster*2023 · 62 citations*](https://md.research.elamur.ai/free/en/papers/kim-2023-entity-tracking-language-models/) 10. **[Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences](https://md.research.elamur.ai/free/en/papers/hong-2023-visual-writing-prompts-character-grounded/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Xudong Hong, Asad Sayeed, Khushboo Mehra, et al.*2023 · 47 citations* 11. **[AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR](https://md.research.elamur.ai/free/en/papers/olatunji-2023-afrispeech-200-pan-african-accented/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tobi Olatunji, Tejumade Afonja, Aditya Yadavalli, et al.*2023 · 45 citations* 12. [**ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer arXiv:2306.07799**Dongqi Liu, Vera Demberg*2023 · 43 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-chatgpt-vs-human-authored-text/) 13. [**Expectations over Unspoken Alternatives Predict Pragmatic Inferences**Jennifer Hu, Roger Levy, Judith Degen, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-expectations-over-unspoken-alternatives-predict/) 14. **[A Cross-Linguistic Pressure for Uniform Information Density in Word Order](https://md.research.elamur.ai/free/en/papers/clark-2023-cross-linguistic-pressure-uniform-information/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Thomas Hikaru Clark, Clara Meister, Tiago Pimentel, et al.*2023 · 24 citations* 15. **[Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design](https://md.research.elamur.ai/free/en/papers/pyatkin-2023-design-choices-crowdsourcing-implicit-discourse/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al.*2023 · 19 citations* 16. **[DiscoFlan: Instruction Fine-tuning and Refined Text Generation for Discourse Relation Label Classification](https://md.research.elamur.ai/free/en/papers/anuranjana-2023-discoflan-instruction-fine-tuning-refined/) [Shared Task on Discourse Relation Parsing and Treebanking](https://md.research.elamur.ai/free/en/venues/disrpt/)**Kaveri Anuranjana*2023 · 13 citations* 17. **[Investigating Explicitation of Discourse Connectives in Translation using Automatic Annotations](https://md.research.elamur.ai/free/en/papers/yung-2023-investigating-explicitation-discourse-connectives-translation/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Frances Yung, Merel Scholman, Ekaterina Lapshinova-Koltunski, et al.*2023 · 8 citations* 18. **[A Lightweight Method to Generate Unanswerable Questions in English](https://md.research.elamur.ai/free/en/papers/gautam-2023-lightweight-method-generate-unanswerable-questions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Vagrant Gautam, Miaoran Zhang, Dietrich Klakow*2023 · 6 citations* 19. **[Fractality of informativity in 300 years of English scientific writing](https://md.research.elamur.ai/free/en/papers/bizzoni-2023-fractality-informativity-300-years-english/) [Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)](https://md.research.elamur.ai/free/en/venues/latechclfl/)**Yuri Bizzoni, Stefania Degaetano-ortlieb*2023 · 1 citation* - [← back to](https://md.research.elamur.ai/free/en/agglomerations/saarbrucken/) — Saarbrücken