--- title: "INLG 2023 — accepted papers — Elamur Research" description: "INLG 2023 — accepted papers: 2 papers in the Elamur Research library (Prague, Czechia), with our summaries, ranked by citations." canonical: "https://research.elamur.ai/free/en/venues/inlg/2023/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/inlg/2023/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [INLG](https://md.research.elamur.ai/free/en/venues/inlg/) / 2023 # INLG 2023 — accepted papers INLG 2023 is the 2023 edition of the International Natural Language Generation Conference (INLG), held in Prague, Czechia, September 2023 (publisher: Association for Computational Linguistics). The ACL Anthology lists 59 papers of it in 2 tracks; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions. 📍 Prague, [Czechia](https://md.research.elamur.ai/free/en/countries/czechia/) · 🗓 September 2023 [**59** papers in the proceedings](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/inlg/2023/#works) · [**71** citations of these works](https://md.research.elamur.ai/free/en/venues/inlg/2023/#works) ## Tracks Main 55System Demonstrations 4 ## Most cited papers By their OpenAlex citations; a paper with our summary links to its page here, the others to the original. 1. **[The Next Chapter: A Study of Large Language Models in Storytelling ↗](https://aclanthology.org/2023.inlg-main.23/)**Zhuohan Xie, Trevor Cohn, Jey Han Lau*28 citations* 2. **[Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy](https://md.research.elamur.ai/free/en/papers/ippolito-2023-preventing-generation-verbatim-memorization-language/)**Daphne Ippolito, Florian Tramer, Milad Nasr et al.*27 citations · our summary* 3. **[This is not correct! Negation-aware Evaluation of Language Generation Systems ↗](https://aclanthology.org/2023.inlg-main.12/)**Miriam Anschütz, Diego Miguel Lozano, Georg Groh*13 citations* 4. **[Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization ↗](https://aclanthology.org/2023.inlg-main.6/)**Chieh-Yang Huang, Ting-Yao Hsu, Ryan Rossi et al.*8 citations* 5. **[Leveraging Low-resource Parallel Data for Text Style Transfer ↗](https://aclanthology.org/2023.inlg-main.27/)**Sourabrata Mukherjee, Ondrej Dusek*6 citations* 6. **[Metric-Based In-context Learning: A Case Study in Text Simplification ↗](https://aclanthology.org/2023.inlg-main.18/)**Subhadra Vadlamannati, Gözde Şahin*6 citations* 7. **[Tackling Hallucinations in Neural Chart Summarization ↗](https://aclanthology.org/2023.inlg-main.30/)**Saad Obaid ul Islam, Iza Škrjanec, Ondrej Dusek et al.*6 citations* 8. **[Trustworthiness of Children Stories Generated by Large Language Models ↗](https://aclanthology.org/2023.inlg-main.24/)**Prabin Bhandari, Hannah Brennan*6 citations* 9. **[Claim Optimization in Computational Argumentation ↗](https://aclanthology.org/2023.inlg-main.10/)**Gabriella Skitalinskaya, Maximilian Spliethöver, Henning Wachsmuth*5 citations* 10. **[Generating Multiple Questions from Presentation Transcripts: A Pilot Study on Earnings Conference Calls ↗](https://aclanthology.org/2023.inlg-main.35/)**Yining Juan, Chung-Chi Chen, Hen-Hsen Huang et al.*4 citations* ## All accepted papers (59) The most cited first; 2 with our summary link to their page here, the others to the original. 1. **[The Next Chapter: A Study of Large Language Models in Storytelling ↗](https://aclanthology.org/2023.inlg-main.23/)**Zhuohan Xie, Trevor Cohn, Jey Han Lau*28 citations* 2. **[Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy](https://md.research.elamur.ai/free/en/papers/ippolito-2023-preventing-generation-verbatim-memorization-language/)**Daphne Ippolito, Florian Tramer, Milad Nasr et al.*27 citations · our summary* 3. **[This is not correct! Negation-aware Evaluation of Language Generation Systems ↗](https://aclanthology.org/2023.inlg-main.12/)**Miriam Anschütz, Diego Miguel Lozano, Georg Groh*13 citations* 4. **[Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization ↗](https://aclanthology.org/2023.inlg-main.6/)**Chieh-Yang Huang, Ting-Yao Hsu, Ryan Rossi et al.*8 citations* 5. **[Leveraging Low-resource Parallel Data for Text Style Transfer ↗](https://aclanthology.org/2023.inlg-main.27/)**Sourabrata Mukherjee, Ondrej Dusek*6 citations* 6. **[Metric-Based In-context Learning: A Case Study in Text Simplification ↗](https://aclanthology.org/2023.inlg-main.18/)**Subhadra Vadlamannati, Gözde Şahin*6 citations* 7. **[Tackling Hallucinations in Neural Chart Summarization ↗](https://aclanthology.org/2023.inlg-main.30/)**Saad Obaid ul Islam, Iza Škrjanec, Ondrej Dusek et al.*6 citations* 8. **[Trustworthiness of Children Stories Generated by Large Language Models ↗](https://aclanthology.org/2023.inlg-main.24/)**Prabin Bhandari, Hannah Brennan*6 citations* 9. **[Claim Optimization in Computational Argumentation ↗](https://aclanthology.org/2023.inlg-main.10/)**Gabriella Skitalinskaya, Maximilian Spliethöver, Henning Wachsmuth*5 citations* 10. **[Generating Multiple Questions from Presentation Transcripts: A Pilot Study on Earnings Conference Calls ↗](https://aclanthology.org/2023.inlg-main.35/)**Yining Juan, Chung-Chi Chen, Hen-Hsen Huang et al.*4 citations* 11. **[Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System ↗](https://aclanthology.org/2023.inlg-main.28/)**Daphne Ippolito, Nicholas Carlini, Katherine Lee et al.*4 citations* 12. **[XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages ↗](https://aclanthology.org/2023.inlg-main.2/)**Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh et al.*4 citations* 13. **[Entropy-based Sampling for Abstractive Multi-document Summarization in Low-resource Settings ↗](https://aclanthology.org/2023.inlg-main.9/)**Laura Mascarell, Ribin Chalumattu, Julien Heitmann*3 citations* 14. **[GAN-LM: Generative Adversarial Network using Language Models for Downstream Applications ↗](https://aclanthology.org/2023.inlg-main.5/)**Dae Yon Hwang, Yaroslav Nechaev, Cyprien de Lichy et al.*3 citations* 15. **[Memories for Virtual AI Characters ↗](https://aclanthology.org/2023.inlg-main.17/)**Fabian Landwehr, Erika Varis Doggett, Romann M. Weber*3 citations* 16. **[Reducing named entity hallucination risk to ensure faithful summary generation ↗](https://aclanthology.org/2023.inlg-main.33/)**Eunice Akani, Benoit Favre, Frederic Bechet et al.*3 citations* 17. **[ChatGPT's Information Seeking Strategy: Insights from the 20-Questions Game ↗](https://aclanthology.org/2023.inlg-main.11/)**Leonardo Bertolazzi, Davide Mazzaccara, Filippo Merlo et al.*2 citations* 18. **[Enhancing factualness and controllability of Data-to-Text Generation via data Views and constraints ↗](https://aclanthology.org/2023.inlg-main.16/)**Craig Thomson, Clement Rebuffel, Ehud Reiter et al.*2 citations* 19. **[Fine-Tuning GPT-3 for Synthetic Danish News Generation ↗](https://aclanthology.org/2023.inlg-main.4/)**Mina Almasi, Anton Schiønning*2 citations* 20. **[Guided Beam Search to Improve Generalization in Low-Resource Data-to-Text Generation ↗](https://aclanthology.org/2023.inlg-main.1/)**Nicolas Garneau, Luc Lamontagne*2 citations* 21. **[System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator ↗](https://aclanthology.org/2023.inlg-main.20/)**Ye Liu, Stefan Ultes, Wolfgang Minker et al.*2 citations* 22. **[Beyond the Bias: Unveiling the Quality of Implicit Causality Prompt Continuations in Language Models ↗](https://aclanthology.org/2023.inlg-main.15/)**Judith Sieker, Oliver Bott, Torgrim Solstad et al.*1 citation* 23. **[Exploring the Naturalness of Cognitive Status-Informed Referring Form Selection Models ↗](https://aclanthology.org/2023.inlg-main.19/)**Gabriel Del Castillo, Grace Clark, Zhao Han et al.*1 citation* 24. **[Generating clickbait spoilers with an ensemble of large language models ↗](https://aclanthology.org/2023.inlg-main.32/)**Mateusz Woźny, Mateusz Lango*1 citation* 25. **[HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales ↗](https://aclanthology.org/2023.inlg-main.21/)**Michele Cafagna, Kees van Deemter, Albert Gatt*1 citation* [See all 59 papers in INLG 2023 — accepted papers →](https://md.research.elamur.ai/free/en/venues/inlg/2023/papers/) ## Papers with our summary in our library (2) The most cited first (OpenAlex citations plus our library's). 1. **[Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy](https://md.research.elamur.ai/free/en/papers/ippolito-2023-preventing-generation-verbatim-memorization-language/) [International Natural Language Generation Conference (INLG)](https://md.research.elamur.ai/free/en/venues/inlg/)**Daphne Ippolito, Florian Tramer, Milad Nasr, et al.*2023 · 68 citations* 2. **[Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?](https://md.research.elamur.ai/free/en/papers/behzad-2023-sentence-level-feedback-generation-english/) [International Natural Language Generation Conference (INLG)](https://md.research.elamur.ai/free/en/venues/inlg/)**Shabnam Behzad, Amir Zeldes, Nathan Schneider*2023 · 3 citations* ## Top topics Topics of its works in our library, with the number of works on each. [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Grammatical error correction & learner language (1)](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) · [English (1)](https://md.research.elamur.ai/free/en/topics/english/) ## Fields [Arts and Humanities (2)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (2)](https://md.research.elamur.ai/free/en/shelves/computer-science/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Chiyuan Zhang**1 work here · 68 citations](https://md.research.elamur.ai/free/en/authors/chiyuan-zhang/) · [🧑‍🔬**Daphne Ippolito**1 work here · 68 citations](https://md.research.elamur.ai/free/en/authors/daphne-ippolito/) · [🧑‍🔬**Florian Tramer**1 work here · 68 citations](https://md.research.elamur.ai/free/en/authors/florian-tramer/) · [🧑‍🔬**Katherine Lee**1 work here · 68 citations](https://md.research.elamur.ai/free/en/authors/katherine-lee/) · [🧑‍🔬**Matthew Jagielski**1 work here · 68 citations](https://md.research.elamur.ai/free/en/authors/matthew-jagielski/) · [🧑‍🔬**Milad Nasr**1 work here · 68 citations](https://md.research.elamur.ai/free/en/authors/milad-nasr/) · [🧑‍🔬**Nicholas Carlini**1 work here · 68 citations](https://md.research.elamur.ai/free/en/authors/nicholas-carlini/) · [🧑‍🔬**Amir Zeldes**1 work here · 3 citations](https://md.research.elamur.ai/free/en/authors/amir-zeldes/) · [🧑‍🔬**Nathan Schneider**1 work here · 3 citations](https://md.research.elamur.ai/free/en/authors/nathan-schneider/) · [🧑‍🔬**Shabnam Behzad**1 work here · 3 citations](https://md.research.elamur.ai/free/en/authors/shabnam-behzad/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🏢**Google** Mountain View · United States 1 work here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Georgetown University** Washington · United States 1 work here](https://md.research.elamur.ai/free/en/universities/georgetown-university/) · [🎓**Cornell University** Ithaca · United States 1 work here](https://md.research.elamur.ai/free/en/universities/cornell-university/) · [🎓**ETH Zurich** Zurich · Switzerland 1 work here](https://md.research.elamur.ai/free/en/universities/eth-zurich/) Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library. - [← previous INLG 2022](https://md.research.elamur.ai/free/en/venues/inlg/2022/) - [next → INLG 2024](https://md.research.elamur.ai/free/en/venues/inlg/2024/) - [↑ back to INLG](https://md.research.elamur.ai/free/en/venues/inlg/)