INLG 2023: all accepted papers
- The Next Chapter: A Study of Large Language Models in Storytelling ↗Zhuohan Xie, Trevor Cohn, Jey Han Lau28 citations
- Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of PrivacyDaphne Ippolito, Florian Tramer, Milad Nasr et al.27 citations · our summary
- This is not correct! Negation-aware Evaluation of Language Generation Systems ↗Miriam Anschütz, Diego Miguel Lozano, Georg Groh13 citations
- Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization ↗Chieh-Yang Huang, Ting-Yao Hsu, Ryan Rossi et al.8 citations
- Leveraging Low-resource Parallel Data for Text Style Transfer ↗Sourabrata Mukherjee, Ondrej Dusek6 citations
- Metric-Based In-context Learning: A Case Study in Text Simplification ↗Subhadra Vadlamannati, Gözde Şahin6 citations
- Tackling Hallucinations in Neural Chart Summarization ↗Saad Obaid ul Islam, Iza Škrjanec, Ondrej Dusek et al.6 citations
- Trustworthiness of Children Stories Generated by Large Language Models ↗Prabin Bhandari, Hannah Brennan6 citations
- Claim Optimization in Computational Argumentation ↗Gabriella Skitalinskaya, Maximilian Spliethöver, Henning Wachsmuth5 citations
- Generating Multiple Questions from Presentation Transcripts: A Pilot Study on Earnings Conference Calls ↗Yining Juan, Chung-Chi Chen, Hen-Hsen Huang et al.4 citations
- Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System ↗Daphne Ippolito, Nicholas Carlini, Katherine Lee et al.4 citations
- XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages ↗Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh et al.4 citations
- Entropy-based Sampling for Abstractive Multi-document Summarization in Low-resource Settings ↗Laura Mascarell, Ribin Chalumattu, Julien Heitmann3 citations
- GAN-LM: Generative Adversarial Network using Language Models for Downstream Applications ↗Dae Yon Hwang, Yaroslav Nechaev, Cyprien de Lichy et al.3 citations
- Memories for Virtual AI Characters ↗Fabian Landwehr, Erika Varis Doggett, Romann M. Weber3 citations
- Reducing named entity hallucination risk to ensure faithful summary generation ↗Eunice Akani, Benoit Favre, Frederic Bechet et al.3 citations
- ChatGPT's Information Seeking Strategy: Insights from the 20-Questions Game ↗Leonardo Bertolazzi, Davide Mazzaccara, Filippo Merlo et al.2 citations
- Enhancing factualness and controllability of Data-to-Text Generation via data Views and constraints ↗Craig Thomson, Clement Rebuffel, Ehud Reiter et al.2 citations
- Fine-Tuning GPT-3 for Synthetic Danish News Generation ↗Mina Almasi, Anton Schiønning2 citations
- Guided Beam Search to Improve Generalization in Low-Resource Data-to-Text Generation ↗Nicolas Garneau, Luc Lamontagne2 citations
- System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator ↗Ye Liu, Stefan Ultes, Wolfgang Minker et al.2 citations
- Beyond the Bias: Unveiling the Quality of Implicit Causality Prompt Continuations in Language Models ↗Judith Sieker, Oliver Bott, Torgrim Solstad et al.1 citation
- Exploring the Naturalness of Cognitive Status-Informed Referring Form Selection Models ↗Gabriel Del Castillo, Grace Clark, Zhao Han et al.1 citation
- Generating clickbait spoilers with an ensemble of large language models ↗Mateusz Woźny, Mateusz Lango1 citation
- HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales ↗Michele Cafagna, Kees van Deemter, Albert Gatt1 citation
- Learning Disentangled Meaning and Style Representations for Positive Text Reframing ↗Xu Sheng, Fumiyo Fukumoto, Jiyi Li et al.1 citation
- Mod-D2T: A Multi-layer Dataset for Modular Data-to-Text Generation ↗Simon Mille, Francois Lareau, Stamatia Dasiopoulou et al.1 citation
- Models of reference production: How do they withstand the test of time? ↗Fahime Same, Guanyi Chen, Kees van Deemter1 citation
- On Text Style Transfer via Style-Aware Masked Language Models ↗Sharan Narasimhan, Pooja H, Suvodip Dey et al.1 citation
- A Report on FCG GenChal 2022: Shared Task on Feedback Comment Generation for Language Learners ↗Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa et al.
- A Zero-Shot Approach for Multi-User Task-Oriented Dialog Generation ↗Shiv Surya, Yohan Jo, Arijit Biswas et al.
- AIWolfDial 2023: Summary of Natural Language Division of 5th International AIWolf Contest ↗Yoshinobu Kano, Neo Watanabe, Kaito Kagaminuma et al.
- Affective Natural Language Generation of Event Descriptions through Fine-grained Appraisal Conditions ↗Yarik Menchaca Resendiz, Roman Klinger
- Audio Commentary System for Real-Time Racing Game Play ↗Tatsuya Ishigaki, Goran Topić, Yumi Hamazono et al. · System Demonstrations
- Building a dual dataset of text- and image-grounded conversations and summarisation in Gàidhlig (Scottish Gaelic) ↗David M. Howcroft, William Lamb, Anna Groundwater et al.
- Controlling keywords and their positions in text generation ↗Yuichi Sasazawa, Terufumi Morishita, Hiroaki Ozaki et al.
- Darbarer @ AutoMin2023: Transcription simplification for concise minute generation from multi-party conversations ↗Ismaël Rousseau, Loïc Fosse, Youness Dkhissi et al.
- Error syntax aware augmentation of feedback comment generation dataset ↗Nikolay Babakov, Maria Lysyuk, Alexander Shvets et al.
- Feedback comment generation using predicted grammatical terms ↗Kunitaka Jimichi, Kotaro Funakoshi, Manabu Okumura
- Generating Faithful Text From a Knowledge Graph with Noisy Reference Text ↗Tahsina Hashem, Weiqing Wang, Derry Tanti Wijaya et al.
- Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis ↗Jan Trienes, Paul Youssef, Jörg Schlötterer et al.
- Identifying Feedback Types to Augment Feedback Comment Generation ↗Maja Stahl, Henning Wachsmuth
- LOWRECORP: the Low-Resource NLG Corpus Building Challenge ↗Khyathi Raghavi Chandu, David M. Howcroft, Dimitra Gkatzia et al.
- Long Story Generation Challenge ↗Nikolay Mikhaylovskiy
- Overview of MiReportor: Generating Reports for Multimodal Medical Images ↗Xuwen Wang, Hetong Ma, Zhen Guo et al. · System Demonstrations
- Overview of the Second Shared Task on Automatic Minuting (AutoMin) at INLG 2023 ↗Tirthankar Ghosal, Ondřej Bojar, Marie Hledíková et al.
- Retrieval, Masking, and Generation: Feedback Comment Generation using Masked Comment Examples ↗Mana Ihori, Hiroshi Sato, Tomohiro Tanaka et al.
- Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?Shabnam Behzad, Amir Zeldes, Nathan Schneiderour summary
- TMU Feedback Comment Generation System Using Pretrained Sequence-to-Sequence Language Models ↗Naoya Ueda, Mamoru Komachi
- Team Iterate @ AutoMin 2023 - Experiments with Iterative Minuting ↗František Kmječ, Ondřej Bojar
- Team NTR @ AutoMin 2023: Dolly LLM Improves Minuting Performance, Semantic Segmentation Doesn't ↗Eugene Borisov, Nikolay Mikhaylovskiy
- Team Synapse @ AutoMin 2023: Leveraging BART-Based Models for Automatic Meeting Minuting ↗Kristýna Klesnilová, Michelle Elizabeth
- The Tokyo Tech and AIST System at the GenChal 2022 Shared Task on Feedback Comment Generation ↗Shota Koyama, Hiroya Takamura, Naoaki Okazaki
- The VDG Challenge: Response Generation and Evaluation in Collaborative Visual Dialogue ↗Nikolai Ilinykh, Simon Dobnik
- Validating Predictive Models Of Evaluative Language For Controllable Data2Text Generation ↗Maurice Langner, Ralf Klabunde
- VisuaLLM: Easy Web-based Visualization for Neural Language Generation ↗František Trebuňa, Ondrej Dusek · System Demonstrations
- Visually Grounded Story Generation Challenge ↗Xudong Hong, Khushboo Mehra, Asad Sayeed et al.
- enunlg: a Python library for reproducible neural data-to-text experimentation ↗David M. Howcroft, Dimitra Gkatzia · System Demonstrations
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