| 2023 | A Zero-Shot Approach for Multi-User Task-Oriented Dialog Generation. Shiv Surya, Yohan Jo, Arijit Biswas, Alexandros Potamianos |
| 2023 | Affective Natural Language Generation of Event Descriptions through Fine-grained Appraisal Conditions. Yarik Menchaca Resendiz, Roman Klinger |
| 2023 | Beyond the Bias: Unveiling the Quality of Implicit Causality Prompt Continuations in Language Models. Judith Sieker, Oliver Bott, Torgrim Solstad, Sina Zarrieß |
| 2023 | Building a dual dataset of text- and image-grounded conversations and summarisation in Gàidhlig (Scottish Gaelic). David M. Howcroft, William Lamb, Anna Groundwater, Dimitra Gkatzia |
| 2023 | ChatGPT's Information Seeking Strategy: Insights from the 20-Questions Game. Leonardo Bertolazzi, Davide Mazzaccara, Filippo Merlo, Raffaella Bernardi |
| 2023 | Claim Optimization in Computational Argumentation. Gabriella Skitalinskaya, Maximilian Spliethöver, Henning Wachsmuth |
| 2023 | Controlling keywords and their positions in text generation. Yuichi Sasazawa, Terufumi Morishita, Hiroaki Ozaki, Osamu Imaichi, Yasuhiro Sogawa |
| 2023 | Enhancing factualness and controllability of Data-to-Text Generation via data Views and constraints. Craig Thomson, Clément Rebuffel, Ehud Reiter, Laure Soulier, Somayajulu Sripada, Patrick Gallinari |
| 2023 | Entropy-based Sampling for Abstractive Multi-document Summarization in Low-resource Settings. Laura Mascarell, Ribin Chalumattu, Julien Heitmann |
| 2023 | Exploring the Naturalness of Cognitive Status-Informed Referring Form Selection Models. Gabriel Del Castillo, Grace Clark, Zhao Han, Tom Williams |
| 2023 | Fine-Tuning GPT-3 for Synthetic Danish News Generation. Mina Almasi, Anton Schiønning |
| 2023 | GAN-LM: Generative Adversarial Network using Language Models for Downstream Applications. Dae Yon Hwang, Yaroslav Nechaev, Cyprien de Lichy, Renxian Zhang |
| 2023 | Generating Faithful Text From a Knowledge Graph with Noisy Reference Text. Tahsina Hashem, Weiqing Wang, Derry Tanti Wijaya, Mohammed Eunus Ali, Yuan-Fang Li |
| 2023 | Generating Multiple Questions from Presentation Transcripts: A Pilot Study on Earnings Conference Calls. Yining Juan, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2023 | Generating clickbait spoilers with an ensemble of large language models. Mateusz Wozny, Mateusz Lango |
| 2023 | Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis. Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert |
| 2023 | Guided Beam Search to Improve Generalization in Low-Resource Data-to-Text Generation. Nicolas Garneau, Luc Lamontagne |
| 2023 | HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales. Michele Cafagna, Kees van Deemter, Albert Gatt |
| 2023 | Learning Disentangled Meaning and Style Representations for Positive Text Reframing. Sheng Xu, Fumiyo Fukumoto, Jiyi Li, Kentaro Go, Yoshimi Suzuki |
| 2023 | Leveraging Low-resource Parallel Data for Text Style Transfer. Sourabrata Mukherjee, Ondrej Dusek |
| 2023 | Memories for Virtual AI Characters. Fabian Landwehr, Erika Varis Doggett, Romann M. Weber |
| 2023 | Metric-Based In-context Learning: A Case Study in Text Simplification. Subhadra Vadlamannati, Gözde Gül Sahin |
| 2023 | Mod-D2T: A Multi-layer Dataset for Modular Data-to-Text Generation. Simon Mille, François Lareau, Stamatia Dasiopoulou, Anya Belz |
| 2023 | Models of reference production: How do they withstand the test of time? Fahime Same, Guanyi Chen, Kees van Deemter |
| 2023 | On Text Style Transfer via Style-Aware Masked Language Models. Sharan Narasimhan, Pooja H, Suvodip Dey, Maunendra Sankar Desarkar |
| 2023 | Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy. Daphne Ippolito, Florian Tramèr, Milad Nasr, Chiyuan Zhang, Matthew Jagielski, Katherine Lee, Christopher A. Choquette-Choo, Nicholas Carlini |
| 2023 | Proceedings of the 16th International Natural Language Generation Conference, INLG 2023, Prague, Czechia, September 11 - 15, 2023 C. Maria Keet, Hung-yi Lee, Sina Zarrieß |
| 2023 | Reducing named entity hallucination risk to ensure faithful summary generation. Eunice Akani, Benoît Favre, Frédéric Béchet, Romain Gemignani |
| 2023 | Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System. Daphne Ippolito, Nicholas Carlini, Katherine Lee, Milad Nasr, Yun William Yu |
| 2023 | Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. Chieh-Yang Huang, Ting-Yao Hsu, Ryan A. Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, C. Lee Giles, Ting-Hao (Kenneth) Huang |
| 2023 | System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator. Ye Liu, Stefan Ultes, Wolfgang Minker, Wolfgang Maier |
| 2023 | Tackling Hallucinations in Neural Chart Summarization. Saad Obaid ul Islam, Iza Skrjanec, Ondrej Dusek, Vera Demberg |
| 2023 | The Next Chapter: A Study of Large Language Models in Storytelling. Zhuohan Xie, Trevor Cohn, Jey Han Lau |
| 2023 | This is not correct! Negation-aware Evaluation of Language Generation Systems. Miriam Anschütz, Diego Miguel Lozano, Georg Groh |
| 2023 | Trustworthiness of Children Stories Generated by Large Language Models. Prabin Bhandari, Hannah Marie Brennan |
| 2023 | Validating Predictive Models Of Evaluative Language For Controllable Data2Text Generation. Maurice Langner, Ralf Klabunde |
| 2023 | XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages. Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma |