---
title: "INLG 2023 — all accepted papers with summaries and citations"
description: "All 59 papers of INLG 2023, the most cited first; those with our summary link to it. Among them: The Next Chapter: A Study of Large…"
canonical: "https://research.elamur.ai/free/en/venues/inlg/2023/papers/"
---
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# INLG 2023: all accepted papers

59 papers · the most cited first · [← INLG 2023](https://md.research.elamur.ai/free/en/venues/inlg/2023/)

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*
26. **[Learning Disentangled Meaning and Style Representations for Positive Text Reframing ↗](https://aclanthology.org/2023.inlg-main.31/)**Xu Sheng, Fumiyo Fukumoto, Jiyi Li et al.*1 citation*
27. **[Mod-D2T: A Multi-layer Dataset for Modular Data-to-Text Generation ↗](https://aclanthology.org/2023.inlg-main.36/)**Simon Mille, Francois Lareau, Stamatia Dasiopoulou et al.*1 citation*
28. **[Models of reference production: How do they withstand the test of time? ↗](https://aclanthology.org/2023.inlg-main.7/)**Fahime Same, Guanyi Chen, Kees van Deemter*1 citation*
29. **[On Text Style Transfer via Style-Aware Masked Language Models ↗](https://aclanthology.org/2023.inlg-main.25/)**Sharan Narasimhan, Pooja H, Suvodip Dey et al.*1 citation*
30. **[A Report on FCG GenChal 2022: Shared Task on Feedback Comment Generation for Language Learners ↗](https://aclanthology.org/2023.inlg-genchal.7/)**Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa et al.
31. **[A Zero-Shot Approach for Multi-User Task-Oriented Dialog Generation ↗](https://aclanthology.org/2023.inlg-main.14/)**Shiv Surya, Yohan Jo, Arijit Biswas et al.
32. **[AIWolfDial 2023: Summary of Natural Language Division of 5th International AIWolf Contest ↗](https://aclanthology.org/2023.inlg-genchal.13/)**Yoshinobu Kano, Neo Watanabe, Kaito Kagaminuma et al.
33. **[Affective Natural Language Generation of Event Descriptions through Fine-grained Appraisal Conditions ↗](https://aclanthology.org/2023.inlg-main.26/)**Yarik Menchaca Resendiz, Roman Klinger
34. **[Audio Commentary System for Real-Time Racing Game Play ↗](https://aclanthology.org/2023.inlg-demos.4/)**Tatsuya Ishigaki, Goran Topić, Yumi Hamazono et al. · System Demonstrations
35. **[Building a dual dataset of text- and image-grounded conversations and summarisation in Gàidhlig (Scottish Gaelic) ↗](https://aclanthology.org/2023.inlg-main.34/)**David M. Howcroft, William Lamb, Anna Groundwater et al.
36. **[Controlling keywords and their positions in text generation ↗](https://aclanthology.org/2023.inlg-main.29/)**Yuichi Sasazawa, Terufumi Morishita, Hiroaki Ozaki et al.
37. **[Darbarer @ AutoMin2023: Transcription simplification for concise minute generation from multi-party conversations ↗](https://aclanthology.org/2023.inlg-genchal.17/)**Ismaël Rousseau, Loïc Fosse, Youness Dkhissi et al.
38. **[Error syntax aware augmentation of feedback comment generation dataset ↗](https://aclanthology.org/2023.inlg-genchal.6/)**Nikolay Babakov, Maria Lysyuk, Alexander Shvets et al.
39. **[Feedback comment generation using predicted grammatical terms ↗](https://aclanthology.org/2023.inlg-genchal.12/)**Kunitaka Jimichi, Kotaro Funakoshi, Manabu Okumura
40. **[Generating Faithful Text From a Knowledge Graph with Noisy Reference Text ↗](https://aclanthology.org/2023.inlg-main.8/)**Tahsina Hashem, Weiqing Wang, Derry Tanti Wijaya et al.
41. **[Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis ↗](https://aclanthology.org/2023.inlg-main.13/)**Jan Trienes, Paul Youssef, Jörg Schlötterer et al.
42. **[Identifying Feedback Types to Augment Feedback Comment Generation ↗](https://aclanthology.org/2023.inlg-genchal.5/)**Maja Stahl, Henning Wachsmuth
43. **[LOWRECORP: the Low-Resource NLG Corpus Building Challenge ↗](https://aclanthology.org/2023.inlg-genchal.1/)**Khyathi Raghavi Chandu, David M. Howcroft, Dimitra Gkatzia et al.
44. **[Long Story Generation Challenge ↗](https://aclanthology.org/2023.inlg-genchal.2/)**Nikolay Mikhaylovskiy
45. **[Overview of MiReportor: Generating Reports for Multimodal Medical Images ↗](https://aclanthology.org/2023.inlg-demos.1/)**Xuwen Wang, Hetong Ma, Zhen Guo et al. · System Demonstrations
46. **[Overview of the Second Shared Task on Automatic Minuting (AutoMin) at INLG 2023 ↗](https://aclanthology.org/2023.inlg-genchal.19/)**Tirthankar Ghosal, Ondřej Bojar, Marie Hledíková et al.
47. **[Retrieval, Masking, and Generation: Feedback Comment Generation using Masked Comment Examples ↗](https://aclanthology.org/2023.inlg-genchal.9/)**Mana Ihori, Hiroshi Sato, Tomohiro Tanaka et al.
48. **[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/)**Shabnam Behzad, Amir Zeldes, Nathan Schneider*our summary*
49. **[TMU Feedback Comment Generation System Using Pretrained Sequence-to-Sequence Language Models ↗](https://aclanthology.org/2023.inlg-genchal.10/)**Naoya Ueda, Mamoru Komachi
50. **[Team Iterate @ AutoMin 2023 - Experiments with Iterative Minuting ↗](https://aclanthology.org/2023.inlg-genchal.16/)**František Kmječ, Ondřej Bojar
51. **[Team NTR @ AutoMin 2023: Dolly LLM Improves Minuting Performance, Semantic Segmentation Doesn't ↗](https://aclanthology.org/2023.inlg-genchal.18/)**Eugene Borisov, Nikolay Mikhaylovskiy
52. **[Team Synapse @ AutoMin 2023: Leveraging BART-Based Models for Automatic Meeting Minuting ↗](https://aclanthology.org/2023.inlg-genchal.15/)**Kristýna Klesnilová, Michelle Elizabeth
53. **[Team Zoom @ AutoMin 2023: Utilizing Topic Segmentation And LLM Data Augmentation For Long-Form Meeting Summarization ↗](https://aclanthology.org/2023.inlg-genchal.14/)**Felix Schneider, Marco Turchi
54. **[The Tokyo Tech and AIST System at the GenChal 2022 Shared Task on Feedback Comment Generation ↗](https://aclanthology.org/2023.inlg-genchal.11/)**Shota Koyama, Hiroya Takamura, Naoaki Okazaki
55. **[The VDG Challenge: Response Generation and Evaluation in Collaborative Visual Dialogue ↗](https://aclanthology.org/2023.inlg-genchal.4/)**Nikolai Ilinykh, Simon Dobnik
56. **[Validating Predictive Models Of Evaluative Language For Controllable Data2Text Generation ↗](https://aclanthology.org/2023.inlg-main.22/)**Maurice Langner, Ralf Klabunde
57. **[VisuaLLM: Easy Web-based Visualization for Neural Language Generation ↗](https://aclanthology.org/2023.inlg-demos.3/)**František Trebuňa, Ondrej Dusek · System Demonstrations
58. **[Visually Grounded Story Generation Challenge ↗](https://aclanthology.org/2023.inlg-genchal.3/)**Xudong Hong, Khushboo Mehra, Asad Sayeed et al.
59. **[enunlg: a Python library for reproducible neural data-to-text experimentation ↗](https://aclanthology.org/2023.inlg-demos.2/)**David M. Howcroft, Dimitra Gkatzia · System Demonstrations
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