INLG 2024: all accepted papers
- Automatic Metrics in Natural Language Generation: A survey of Current Evaluation Practices ↗Patricia Schmidtova, Saad Mahamood, Simone Balloccu et al.17 citations
- Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue ↗Simone Alghisi, Massimo Rizzoli, Gabriel Roccabruna et al.16 citations
- Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach ↗Sambaran Bandyopadhyay, Himanshu Maheshwari, Anandhavelu Natarajan et al.10 citations
- Explainability Meets Text Summarization: A Survey ↗Mahdi Dhaini, Ege Erdogan, Smarth Bakshi et al.8 citations
- Is Machine Psychology here? On Requirements for Using Human Psychological Tests on Large Language Models ↗Lea Löhn, Niklas Kiehne, Alexander Ljapunov et al.7 citations
- Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics ↗Weijia Zhang, Mohammad Aliannejadi, Yifei Yuan et al.7 citations
- Zero-shot cross-lingual transfer in instruction tuning of large language models ↗Nadezhda Chirkova, Vassilina Nikoulina6 citations
- A Comprehensive Analysis of Memorization in Large Language Models ↗Hirokazu Kiyomaru, Issa Sugiura, Daisuke Kawahara et al.5 citations
- Are Large Language Models Actually Good at Text Style Transfer? ↗Sourabrata Mukherjee, Atul Kr. Ojha, Ondrej Dusek5 citations
- n-gram F-score for Evaluating Grammatical Error Correction ↗Shota Koyama, Ryo Nagata, Hiroya Takamura et al.5 citations
- AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interaction ↗Zhe Hu, Hou Pong Chan, Yu Yin4 citations
- CEval: A Benchmark for Evaluating Counterfactual Text Generation ↗Van Bach Nguyen, Christin Seifert, Jörg Schlötterer4 citations
- Communicating Uncertainty in Explanations of the Outcomes of Machine Learning Models ↗Ingrid Zukerman, Sameen Maruf4 citations
- The Gricean Maxims in NLP - A SurveyLea Krause, Piek T.J.M. Vossen4 citations · our summary
- Towards Effective Long Conversation Generation with Dynamic Topic Tracking and Recommendation ↗Trevor Ashby, Adithya Kulkarni, Jingyuan Qi et al.4 citations
- Context-aware Visual Storytelling with Visual Prefix Tuning and Contrastive Learning ↗Yingjin Song, Denis Paperno, Albert Gatt3 citations
- Long-Form Analogy Evaluation Challenge ↗Bhavya Bhavya, Chris Palaguachi, Yang Zhou et al.3 citations
- Multilingual Text Style Transfer: Datasets & Models for Indian Languages ↗Sourabrata Mukherjee, Atul Kr. Ojha, Akanksha Bansal et al.3 citations
- Overview of Long Story Generation Challenge (LSGC) at INLG 2024 ↗Aleksandr Migal, Daria Seredina, Ludmila Telnina et al.3 citations
- aiXplain SDK: A High-Level and Standardized Toolkit for AI Assets ↗Shreyas Sharma, Lucas Pavanelli, Thiago Castro Ferreira et al.3 citations
- Automating True-False Multiple-Choice Question Generation and Evaluation with Retrieval-based Accuracy Differential ↗Chen-Jui Yu, Wen Hung Lee, Lin Tse Ke et al.2 citations
- CUET_SSTM at the GEM'24 Summarization Task: Integration of extractive and abstractive method for long text summarization in Swahili language ↗Samia Rahman, Momtazul Arefin Labib, Hasan Murad et al.2 citations
- Extractive Summarization via Fine-grained Semantic Tuple Extraction ↗Yubin Ge, Sullam Jeoung, Jana Diesner2 citations
- Generating from AMRs into High and Low-Resource Languages using Phylogenetic Knowledge and Hierarchical QLoRA Training (HQL) ↗William Soto Martinez, Yannick Parmentier, Claire Gardent2 citations
- German Voter Personas Can Radicalize LLM Chatbots via the Echo Chamber Effect ↗Maximilian Bleick, Nils Feldhus, Aljoscha Burchardt et al.2 citations
- Investigating Paraphrase Generation as a Data Augmentation Strategy for Low-Resource AMR-to-Text Generation ↗Marco Antonio Sobrevilla Cabezudo, Marcio Lima Inacio, Thiago Alexandre Salgueiro Pardo2 citations
- Personalized Cloze Test Generation with Large Language Models: Streamlining MCQ Development and Enhancing Adaptive Learning ↗Chih-Hsuan Shen, Yi-Li Kuo, Yao-Chung Fan2 citations
- The 2024 GEM Shared Task on Multilingual Data-to-Text Generation and Summarization: Overview and Preliminary Results ↗Simon Mille, João Sedoc, Yixin Liu et al.2 citations
- VideoRAG: Scaling the context size and relevance for video question-answering ↗Shivprasad Rajendra Sagare, Prashant Ullegaddi, Nachiketh K S et al. · System Demonstrations2 citations
- Zooming in on Zero-Shot Intent-Guided and Grounded Document Generation using LLMs ↗Pritika Ramu, Pranshu Gaur, Rishita Emandi et al.2 citations
- CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation ↗Chen Tang, Hongbo Zhang, Tyler Loakman et al.1 citation
- Entity-aware Multi-task Training Helps Rare Word Machine Translation ↗Matiss Rikters, Makoto Miwa1 citation
- Forecasting Implicit Emotions Elicited in Conversations ↗Yurie Koga, Shunsuke Kando, Yusuke Miyao1 citation
- Quantifying Memorization and Detecting Training Data of Pre-trained Language Models using Japanese Newspaper ↗Shotaro Ishihara, Hiromu Takahashi1 citation
- Summary of the Visually Grounded Story Generation Challenge ↗Xudong Hong, Asad Sayeed, Vera Demberg1 citation
- The INLG 2024 Tutorial on Human Evaluation of NLP System Quality: Background, Overall Aims, and Summaries of Taught Units ↗Anya Belz, João Sedoc, Craig Thomson et al. · Tutorial Abstract1 citation
- The Unreasonable Ineffectiveness of Nucleus Sampling on Mitigating Text Memorization ↗Luka Borec, Philipp Sadler, David Schlangen1 citation
- Transfer-Learning based on Extract, Paraphrase and Compress Models for Neural Abstractive Multi-Document Summarization ↗Yllias Chali, Elozino Egonmwan1 citation
- (Mostly) Automatic Experiment Execution for Human Evaluations of NLP Systems ↗Craig Thomson, Anya Belz
- Audio-visual training for improved grounding in video-text LLMs ↗Shivprasad Rajendra Sagare, Hemachandran S, Kinshuk Sarabhai et al.
- Automatically Generating IsiZulu Words From Indo-Arabic Numerals ↗Zola Mahlaza, Tadiwa Magwenzi, C. Maria Keet et al.
- Be My Mate: Simulating Virtual Students for collaboration using Large Language Models ↗Sergi Solera-Monforte, Pablo Arnau-González, Miguel Arevalillo-Herráez · System Demonstrations
- Customizing Large Language Model Generation Style using Parameter-Efficient Finetuning ↗Xinyue Liu, Harshita Diddee, Daphne Ippolito
- DCU-ADAPT-modPB at the GEM'24 Data-to-Text Generation Task: Model Hybridisation for Pipeline Data-to-Text Natural Language Generation ↗Chinonso Cynthia Osuji, Rudali Huidrom, Kolawole John Adebayo et al.
- DCU-NLG-Small at the GEM'24 Data-to-Text Task: Rule-based generation and post-processing with T5-Base ↗Simon Mille, Mohammed Sabry, Anya Belz
- Differences in Semantic Errors Made by Different Types of Data-to-text Systems ↗Rudali Huidrom, Anya Belz, Michela Lorandi
- DipInfo-UniTo at the GEM'24 Data-to-Text Task: Augmenting LLMs with the Split-Generate-Aggregate Pipeline ↗Michael Oliverio, Pier Felice Balestrucci, Alessandro Mazzei et al.
- Enhancing Editorial Tasks: A Case Study on Rewriting Customer Help Page Contents Using Large Language Models ↗Aleksandra Gabryszak, Daniel Röder, Arne Binder et al.
- Evaluating RDF-to-text Generation Models for English and Russian on Out Of Domain Data ↗Anna Nikiforovskaya, Claire Gardent
- Exploring the impact of data representation on neural data-to-text generation ↗David M. Howcroft, Lewis N. Watson, Olesia Nedopas et al.
- Filling Gaps in Wikipedia: Leveraging Data-to-Text Generation to Improve Encyclopedic Coverage of Underrepresented Groups ↗Simon Mille, Massimiliano Pronesti, Craig Thomson et al. · System Demonstrations
- Generating Attractive Ad Text by Facilitating the Reuse of Landing Page Expressions ↗Hidetaka Kamigaito, Soichiro Murakami, Peinan Zhang et al.
- Generating Faithful and Salient Text from Multimodal Data ↗Tahsina Hashem, Weiqing Wang, Derry Tanti Wijaya et al.
- Generating Hotel Highlights from Unstructured Text using LLMs ↗Srinivas Ramesh Kamath, Fahime Same, Saad Mahamood
- Generating Simple, Conservative and Unifying Explanations for Logistic Regression Models ↗Sameen Maruf, Ingrid Zukerman, Xuelin Situ et al.
- LLM Neologism: Emergence of Mutated Characters due to Byte Encoding ↗Ran Iwamoto, Hiroshi Kanayama
- Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems ↗Jędrzej Warczyński, Mateusz Lango, Ondrej Dusek
- Leveraging Plug-and-Play Models for Rhetorical Structure Control in Text Generation ↗Yuka Yokogawa, Tatsuya Ishigaki, Hiroya Takamura et al.
- MTSwitch: A Web-based System for Translation between Molecules and Texts ↗Nijia Han, Zimu Wang, Yuqi Wang et al. · System Demonstrations
- Noisy Pairing and Partial Supervision for Stylized Opinion Summarization ↗Hayate Iso, Xiaolan Wang, Yoshi Suhara
- OSU CompLing at the GEM'24 Data-to-Text Task ↗Alyssa Allen, Ashley Lewis, Yi-Chien Lin et al.
- Pipeline Neural Data-to-text with Large Language Models ↗Chinonso Cynthia Osuji, Brian Timoney, Thiago Castro Ferreira et al.
- QCET: An Interactive Taxonomy of Quality Criteria for Comparable and Repeatable Evaluation of NLP Systems ↗Anya Belz, Simon Mille, Craig Thomson et al. · System Demonstrations
- Reduction-Synthesis: Plug-and-Play for Sentiment Style Transfer ↗Sheng Xu, Fumiyo Fukumoto, Yoshimi Suzuki
- Referring Expression Generation in Visually Grounded Dialogue with Discourse-aware Comprehension Guiding ↗Bram Willemsen, Gabriel Skantze
- Resilience through Scene Context in Visual Referring Expression Generation ↗Simeon Junker, Sina Zarrieß
- TeamSaarLST at the GEM'24 Data-to-text Task: Revisiting symbolic retrieval in the LLM-age ↗Mayank Jobanputra, Vera Demberg
- Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories ↗Hikaru Asano, Ryo Yonetani, Taiki Sekii et al.
- The LSG Challenge Workshop at INLG 2024: Prompting Techniques for Crafting Extended Narratives with LLMs ↗Aleksandr Boriskin, Daria Galimzianova
- factgenie: A Framework for Span-based Evaluation of Generated Texts ↗Zdeněk Kasner, Ondrej Platek, Patricia Schmidtova et al. · System Demonstrations
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