| 2024 | (Mostly) Automatic Experiment Execution for Human Evaluations of NLP Systems. Craig Thomson, Anya Belz |
| 2024 | A Comprehensive Analysis of Memorization in Large Language Models. Hirokazu Kiyomaru, Issa Sugiura, Daisuke Kawahara, Sadao Kurohashi |
| 2024 | AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interaction. Zhe Hu, Hou Pong Chan, Yu Yin |
| 2024 | Are Large Language Models Actually Good at Text Style Transfer? Sourabrata Mukherjee, Atul Kr. Ojha, Ondrej Dusek |
| 2024 | Audio-visual training for improved grounding in video-text LLMs. Shivprasad Sagare, Hemachandran S, Kinshuk Sarabhai, Prashant Ullegaddi, Rajeshkumar SA |
| 2024 | AutoTemplate: A Simple Recipe for Lexically Constrained Text Generation. Hayate Iso |
| 2024 | Automatic Metrics in Natural Language Generation: A survey of Current Evaluation Practices. Patrícia Schmidtová, Saad Mahamood, Simone Balloccu, Ondrej Dusek, Albert Gatt, Dimitra Gkatzia, David M. Howcroft, Ondrej Plátek, Adarsa Sivaprasad |
| 2024 | Automatically Generating IsiZulu Words From Indo-Arabic Numerals. Zola Mahlaza, Tadiwa Magwenzi, C. Maria Keet, Langa Khumalo |
| 2024 | Automating True-False Multiple-Choice Question Generation and Evaluation with Retrieval-based Accuracy Differential. Chen-Jui Yu, Wen Hung Lee, Lin Tse Ke, Shih-Wei Guo, Yao-Chung Fan |
| 2024 | CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation. Chen Tang, Hongbo Zhang, Tyler Loakman, Bohao Yang, Stefan Goetze, Chenghua Lin |
| 2024 | CEval: A Benchmark for Evaluating Counterfactual Text Generation. Van Bach Nguyen, Christin Seifert, Jörg Schlötterer |
| 2024 | Communicating Uncertainty in Explanations of the Outcomes of Machine Learning Models. Ingrid Zukerman, Sameen Maruf |
| 2024 | Context-aware Visual Storytelling with Visual Prefix Tuning and Contrastive Learning. Yingjin Song, Denis Paperno, Albert Gatt |
| 2024 | Customizing Large Language Model Generation Style using Parameter-Efficient Finetuning. Xinyue Liu, Harshita Diddee, Daphne Ippolito |
| 2024 | Differences in Semantic Errors Made by Different Types of Data-to-text Systems. Rudali Huidrom, Anya Belz, Michela Lorandi |
| 2024 | Enhancing Editorial Tasks: A Case Study on Rewriting Customer Help Page Contents Using Large Language Models. Aleksandra Gabryszak, Daniel Röder, Arne Binder, Luca Sion, Leonhard Hennig |
| 2024 | Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach. Sambaran Bandyopadhyay, Himanshu Maheshwari, Anandhavelu Natarajan, Apoorv Saxena |
| 2024 | Entity-aware Multi-task Training Helps Rare Word Machine Translation. Matiss Rikters, Makoto Miwa |
| 2024 | Evaluating RDF-to-text Generation Models for English and Russian on Out Of Domain Data. Anna Nikiforovskaya, Claire Gardent |
| 2024 | Explainability Meets Text Summarization: A Survey. Mahdi Dhaini, Ege Erdogan, Smarth Bakshi, Gjergji Kasneci |
| 2024 | Exploring the impact of data representation on neural data-to-text generation. David M. Howcroft, Lewis N. Watson, Olesia Nedopas, Dimitra Gkatzia |
| 2024 | Extractive Summarization via Fine-grained Semantic Tuple Extraction. Yubin Ge, Sullam Jeoung, Jana Diesner |
| 2024 | Forecasting Implicit Emotions Elicited in Conversations. Yurie Koga, Shunsuke Kando, Yusuke Miyao |
| 2024 | Generating Attractive Ad Text by Facilitating the Reuse of Landing Page Expressions. Hidetaka Kamigaito, Soichiro Murakami, Peinan Zhang, Hiroya Takamura, Manabu Okumura |
| 2024 | Generating Faithful and Salient Text from Multimodal Data. Tahsina Hashem, Weiqing Wang, Derry Tanti Wijaya, Mohammed Eunus Ali, Yuan-Fang Li |
| 2024 | Generating Hotel Highlights from Unstructured Text using LLMs. Srinivas Ramesh Kamath, Fahime Same, Saad Mahamood |
| 2024 | Generating Simple, Conservative and Unifying Explanations for Logistic Regression Models. Sameen Maruf, Ingrid Zukerman, Xuelin Situ, Cécile Paris, Gholamreza Haffari |
| 2024 | Generating from AMRs into High and Low-Resource Languages using Phylogenetic Knowledge and Hierarchical QLoRA Training (HQL). William Soto Martinez, Yannick Parmentier, Claire Gardent |
| 2024 | German Voter Personas Can Radicalize LLM Chatbots via the Echo Chamber Effect. Maximilian Bleick, Nils Feldhus, Aljoscha Burchardt, Sebastian Möller |
| 2024 | Investigating Paraphrase Generation as a Data Augmentation Strategy for Low-Resource AMR-to-Text Generation. Marco Antonio Sobrevilla Cabezudo, Marcio Lima Inácio, Thiago Alexandre Salgueiro Pardo |
| 2024 | Is Machine Psychology here? On Requirements for Using Human Psychological Tests on Large Language Models. Lea Löhn, Niklas Kiehne, Alexander Ljapunov, Wolf-Tilo Balke |
| 2024 | LLM Neologism: Emergence of Mutated Characters due to Byte Encoding. Ran Iwamoto, Hiroshi Kanayama |
| 2024 | Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems. Jedrzej Warczynski, Mateusz Lango, Ondrej Dusek |
| 2024 | Leveraging Plug-and-Play Models for Rhetorical Structure Control in Text Generation. Yuka Yokogawa, Tatsuya Ishigaki, Hiroya Takamura, Yusuke Miyao, Ichiro Kobayashi |
| 2024 | Multilingual Text Style Transfer: Datasets & Models for Indian Languages. Sourabrata Mukherjee, Atul Kr. Ojha, Akanksha Bansal, Deepak Alok, John P. McCrae, Ondrej Dusek |
| 2024 | Noisy Pairing and Partial Supervision for Stylized Opinion Summarization. Hayate Iso, Xiaolan Wang, Yoshi Suhara |
| 2024 | Personalized Cloze Test Generation with Large Language Models: Streamlining MCQ Development and Enhancing Adaptive Learning. Chih-Hsuan Shen, Yi-Li Kuo, Yao-Chung Fan |
| 2024 | Pipeline Neural Data-to-text with Large Language Models. Chinonso Cynthia Osuji, Brian Timoney, Thiago Castro Ferreira, Brian Davis |
| 2024 | Proceedings of the 17th International Natural Language Generation Conference, INLG 2024, Tokyo, Japan, September 23 - 27, 2024 Saad Mahamood, Minh Le Nguyen, Daphne Ippolito |
| 2024 | Quantifying Memorization and Detecting Training Data of Pre-trained Language Models using Japanese Newspaper. Shotaro Ishihara, Hiromu Takahashi |
| 2024 | Reduction-Synthesis: Plug-and-Play for Sentiment Style Transfer. Sheng Xu, Fumiyo Fukumoto, Yoshimi Suzuki |
| 2024 | Referring Expression Generation in Visually Grounded Dialogue with Discourse-aware Comprehension Guiding. Bram Willemsen, Gabriel Skantze |
| 2024 | Resilience through Scene Context in Visual Referring Expression Generation. Simeon Junker, Sina Zarrieß |
| 2024 | Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue. Simone Alghisi, Massimo Rizzoli, Gabriel Roccabruna, Seyed Mahed Mousavi, Giuseppe Riccardi |
| 2024 | Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories. Hikaru Asano, Ryo Yonetani, Taiki Sekii, Hiroki Ouchi |
| 2024 | The Gricean Maxims in NLP - A Survey. Lea Krause, Piek T. J. M. Vossen |
| 2024 | The Unreasonable Ineffectiveness of Nucleus Sampling on Mitigating Text Memorization. Luka Borec, Philipp Sadler, David Schlangen |
| 2024 | Towards Effective Long Conversation Generation with Dynamic Topic Tracking and Recommendation. Trevor Ashby, Adithya Kulkarni, Jingyuan Qi, Minqian Liu, Eunah Cho, Vaibhav Kumar, Lifu Huang |
| 2024 | Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics. Weijia Zhang, Mohammad Aliannejadi, Yifei Yuan, Jiahuan Pei, Jia-Hong Huang, Evangelos Kanoulas |
| 2024 | Transfer-Learning based on Extract, Paraphrase and Compress Models for Neural Abstractive Multi-Document Summarization. Yllias Chali, Elozino Egonmwan |
| 2024 | Zero-shot cross-lingual transfer in instruction tuning of large language models. Nadezhda Chirkova, Vassilina Nikoulina |
| 2024 | Zooming in on Zero-Shot Intent-Guided and Grounded Document Generation using LLMs. Pritika Ramu, Pranshu Gaur, Rishita Emandi, Himanshu Maheshwari, Danish Javed, Aparna Garimella |
| 2024 | aiXplain SDK: A High-Level and Standardized Toolkit for AI Assets. Shreyas Sharma, Lucas Pavanelli, Thiago Castro Ferreira, Mohamed Al-Badrashiny, Hassan Sawaf |
| 2024 | n-gram F-score for Evaluating Grammatical Error Correction. Shota Koyama, Ryo Nagata, Hiroya Takamura, Naoaki Okazaki |