| 2023 | Visually Grounded Story Generation Challenge. | Xudong Hong, Khushboo Mehra, Asad B. Sayeed, Vera Demberg |
| 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 | Overview of the Second Shared Task on Automatic Minuting (AutoMin) at INLG 2023. | Tirthankar Ghosal, Ondrej Bojar, Marie Hledkov, Tom Kocmi, Anna Nedoluzhko |
| 2023 | Guided Beam Search to Improve Generalization in Low-Resource Data-to-Text Generation. | Nicolas Garneau, Luc Lamontagne |
| 2023 | LOWRECORP: the Low-Resource NLG Corpus Building Challenge. | Khyathi Raghavi Chandu, David M. Howcroft, Dimitra Gkatzia, Yi-Ling Chung, Yufang Hou, Chris Chinenye Emezue, Pawan Rajpoot, Tosin P. Adewumi |
| 2023 | Exploring the Naturalness of Cognitive Status-Informed Referring Form Selection Models. | Gabriel Del Castillo, Grace Clark, Zhao Han, Tom Williams |
| 2023 | HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales. | Michele Cafagna, Kees van Deemter, Albert Gatt |
| 2023 | Team NTR @ AutoMin 2023: Dolly LLM Improves Minuting Performance, Semantic Segmentation Doesn't. | Eugene Borisov, Nikolay Mikhaylovskiy |
| 2023 | Trustworthiness of Children Stories Generated by Large Language Models. | Prabin Bhandari, Hannah Marie Brennan |
| 2023 | ChatGPT's Information Seeking Strategy: Insights from the 20-Questions Game. | Leonardo Bertolazzi, Davide Mazzaccara, Filippo Merlo, Raffaella Bernardi |
| 2023 | Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help? | Shabnam Behzad, Amir Zeldes, Nathan Schneider |
| 2023 | Error syntax aware augmentation of feedback comment generation dataset. | Nikolay Babakov, Maria Lysyuk, Alexander Shvets, Lilya Kazakova, Alexander Panchenko |
| 2023 | This is not correct! Negation-aware Evaluation of Language Generation Systems. | Miriam Anschtz, Diego Miguel Lozano, Georg Groh |
| 2023 | Fine-Tuning GPT-3 for Synthetic Danish News Generation. | Mina Almasi, Anton Schinning |
| 2023 | Reducing named entity hallucination risk to ensure faithful summary generation. | Eunice Akani, Benot Favre, Frdric Bchet, Romain Gemignani |
| 2021 | Affective Decoding for Empathetic Response Generation. | Chengkun Zheng, Guanyi Chen, Chenghua Lin, Ruizhe Li, Zhi Chen |
| 2021 | Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning. | Sina Zarrie, Hendrik Buschmeier, Ting Han, Simeon Schz |
| 2021 | Biomedical Data-to-Text Generation via Fine-Tuning Transformers. | Ruslan Yermakov, Nicholas Drago, Angelo Ziletti |
| 2021 | Frontmatter. | |
| 2021 | HI-CMLM: Improve CMLM with Hybrid Decoder Input. | Minghan Wang, Jiaxin Guo, Yuxia Wang, Yimeng Chen, Chang Su, Daimeng Wei, Min Zhang, Shimin Tao, Hao Yang |
| 2021 | Generation Challenges: Results of the Accuracy Evaluation Shared Task. | Craig Thomson, Ehud Reiter |
| 2021 | Chefbot: A Novel Framework for the Generation of Commonsense-enhanced Responses for Task-based Dialogue Systems. | Carl Strathearn, Dimitra Gkatzia |
| 2021 | Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text. | Vivek Srivastava, Mayank Singh |
| 2021 | Controllable Sentence Simplification with a Unified Text-to-Text Transfer Transformer. | Kim Cheng Sheang, Horacio Saggion |
| 2021 | Towards Zero-Shot Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension. | Siamak Shakeri, Noah Constant, Mihir Kale, Linting Xue |