---
title: "INLG 2024 — all accepted papers with summaries and citations"
description: "All 74 papers of INLG 2024, the most cited first; those with our summary link to it. Among them: Automatic Metrics in Natural Language…"
canonical: "https://research.elamur.ai/free/en/venues/inlg/2024/papers/"
---
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# INLG 2024: all accepted papers

74 papers · the most cited first · [← INLG 2024](https://md.research.elamur.ai/free/en/venues/inlg/2024/)

1. **[Automatic Metrics in Natural Language Generation: A survey of Current Evaluation Practices ↗](https://aclanthology.org/2024.inlg-main.44/)**Patricia Schmidtova, Saad Mahamood, Simone Balloccu et al.*17 citations*
2. **[Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue ↗](https://aclanthology.org/2024.inlg-main.15/)**Simone Alghisi, Massimo Rizzoli, Gabriel Roccabruna et al.*16 citations*
3. **[Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach ↗](https://aclanthology.org/2024.inlg-main.18/)**Sambaran Bandyopadhyay, Himanshu Maheshwari, Anandhavelu Natarajan et al.*10 citations*
4. **[Explainability Meets Text Summarization: A Survey ↗](https://aclanthology.org/2024.inlg-main.49/)**Mahdi Dhaini, Ege Erdogan, Smarth Bakshi et al.*8 citations*
5. **[Is Machine Psychology here? On Requirements for Using Human Psychological Tests on Large Language Models ↗](https://aclanthology.org/2024.inlg-main.19/)**Lea Löhn, Niklas Kiehne, Alexander Ljapunov et al.*7 citations*
6. **[Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics ↗](https://aclanthology.org/2024.inlg-main.35/)**Weijia Zhang, Mohammad Aliannejadi, Yifei Yuan et al.*7 citations*
7. **[Zero-shot cross-lingual transfer in instruction tuning of large language models ↗](https://aclanthology.org/2024.inlg-main.53/)**Nadezhda Chirkova, Vassilina Nikoulina*6 citations*
8. **[A Comprehensive Analysis of Memorization in Large Language Models ↗](https://aclanthology.org/2024.inlg-main.45/)**Hirokazu Kiyomaru, Issa Sugiura, Daisuke Kawahara et al.*5 citations*
9. **[Are Large Language Models Actually Good at Text Style Transfer? ↗](https://aclanthology.org/2024.inlg-main.42/)**Sourabrata Mukherjee, Atul Kr. Ojha, Ondrej Dusek*5 citations*
10. **[n-gram F-score for Evaluating Grammatical Error Correction ↗](https://aclanthology.org/2024.inlg-main.25/)**Shota Koyama, Ryo Nagata, Hiroya Takamura et al.*5 citations*
11. **[AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interaction ↗](https://aclanthology.org/2024.inlg-main.8/)**Zhe Hu, Hou Pong Chan, Yu Yin*4 citations*
12. **[CEval: A Benchmark for Evaluating Counterfactual Text Generation ↗](https://aclanthology.org/2024.inlg-main.6/)**Van Bach Nguyen, Christin Seifert, Jörg Schlötterer*4 citations*
13. **[Communicating Uncertainty in Explanations of the Outcomes of Machine Learning Models ↗](https://aclanthology.org/2024.inlg-main.4/)**Ingrid Zukerman, Sameen Maruf*4 citations*
14. **[The Gricean Maxims in NLP - A Survey](https://md.research.elamur.ai/free/en/papers/krause-2024-gricean-maxims-nlp-survey/)**Lea Krause, Piek T.J.M. Vossen*4 citations · our summary*
15. **[Towards Effective Long Conversation Generation with Dynamic Topic Tracking and Recommendation ↗](https://aclanthology.org/2024.inlg-main.43/)**Trevor Ashby, Adithya Kulkarni, Jingyuan Qi et al.*4 citations*
16. **[Context-aware Visual Storytelling with Visual Prefix Tuning and Contrastive Learning ↗](https://aclanthology.org/2024.inlg-main.32/)**Yingjin Song, Denis Paperno, Albert Gatt*3 citations*
17. **[Long-Form Analogy Evaluation Challenge ↗](https://aclanthology.org/2024.inlg-genchal.1/)**Bhavya Bhavya, Chris Palaguachi, Yang Zhou et al.*3 citations*
18. **[Multilingual Text Style Transfer: Datasets & Models for Indian Languages ↗](https://aclanthology.org/2024.inlg-main.41/)**Sourabrata Mukherjee, Atul Kr. Ojha, Akanksha Bansal et al.*3 citations*
19. **[Overview of Long Story Generation Challenge (LSGC) at INLG 2024 ↗](https://aclanthology.org/2024.inlg-genchal.4/)**Aleksandr Migal, Daria Seredina, Ludmila Telnina et al.*3 citations*
20. **[aiXplain SDK: A High-Level and Standardized Toolkit for AI Assets ↗](https://aclanthology.org/2024.inlg-main.37/)**Shreyas Sharma, Lucas Pavanelli, Thiago Castro Ferreira et al.*3 citations*
21. **[Automating True-False Multiple-Choice Question Generation and Evaluation with Retrieval-based Accuracy Differential ↗](https://aclanthology.org/2024.inlg-main.16/)**Chen-Jui Yu, Wen Hung Lee, Lin Tse Ke et al.*2 citations*
22. **[CUET_SSTM at the GEM'24 Summarization Task: Integration of extractive and abstractive method for long text summarization in Swahili language ↗](https://aclanthology.org/2024.inlg-genchal.12/)**Samia Rahman, Momtazul Arefin Labib, Hasan Murad et al.*2 citations*
23. **[Extractive Summarization via Fine-grained Semantic Tuple Extraction ↗](https://aclanthology.org/2024.inlg-main.10/)**Yubin Ge, Sullam Jeoung, Jana Diesner*2 citations*
24. **[Generating from AMRs into High and Low-Resource Languages using Phylogenetic Knowledge and Hierarchical QLoRA Training (HQL) ↗](https://aclanthology.org/2024.inlg-main.7/)**William Soto Martinez, Yannick Parmentier, Claire Gardent*2 citations*
25. **[German Voter Personas Can Radicalize LLM Chatbots via the Echo Chamber Effect ↗](https://aclanthology.org/2024.inlg-main.13/)**Maximilian Bleick, Nils Feldhus, Aljoscha Burchardt et al.*2 citations*
26. **[Investigating Paraphrase Generation as a Data Augmentation Strategy for Low-Resource AMR-to-Text Generation ↗](https://aclanthology.org/2024.inlg-main.51/)**Marco Antonio Sobrevilla Cabezudo, Marcio Lima Inacio, Thiago Alexandre Salgueiro Pardo*2 citations*
27. **[Personalized Cloze Test Generation with Large Language Models: Streamlining MCQ Development and Enhancing Adaptive Learning ↗](https://aclanthology.org/2024.inlg-main.26/)**Chih-Hsuan Shen, Yi-Li Kuo, Yao-Chung Fan*2 citations*
28. **[The 2024 GEM Shared Task on Multilingual Data-to-Text Generation and Summarization: Overview and Preliminary Results ↗](https://aclanthology.org/2024.inlg-genchal.2/)**Simon Mille, João Sedoc, Yixin Liu et al.*2 citations*
29. **[VideoRAG: Scaling the context size and relevance for video question-answering ↗](https://aclanthology.org/2024.inlg-demos.3/)**Shivprasad Rajendra Sagare, Prashant Ullegaddi, Nachiketh K S et al. · System Demonstrations*2 citations*
30. **[Zooming in on Zero-Shot Intent-Guided and Grounded Document Generation using LLMs ↗](https://aclanthology.org/2024.inlg-main.52/)**Pritika Ramu, Pranshu Gaur, Rishita Emandi et al.*2 citations*
31. **[CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation ↗](https://aclanthology.org/2024.inlg-main.31/)**Chen Tang, Hongbo Zhang, Tyler Loakman et al.*1 citation*
32. **[Entity-aware Multi-task Training Helps Rare Word Machine Translation ↗](https://aclanthology.org/2024.inlg-main.5/)**Matiss Rikters, Makoto Miwa*1 citation*
33. **[Forecasting Implicit Emotions Elicited in Conversations ↗](https://aclanthology.org/2024.inlg-main.12/)**Yurie Koga, Shunsuke Kando, Yusuke Miyao*1 citation*
34. **[Quantifying Memorization and Detecting Training Data of Pre-trained Language Models using Japanese Newspaper ↗](https://aclanthology.org/2024.inlg-main.14/)**Shotaro Ishihara, Hiromu Takahashi*1 citation*
35. **[Summary of the Visually Grounded Story Generation Challenge ↗](https://aclanthology.org/2024.inlg-genchal.3/)**Xudong Hong, Asad Sayeed, Vera Demberg*1 citation*
36. **[The INLG 2024 Tutorial on Human Evaluation of NLP System Quality: Background, Overall Aims, and Summaries of Taught Units ↗](https://aclanthology.org/2024.inlg-tutorials.1/)**Anya Belz, João Sedoc, Craig Thomson et al. · Tutorial Abstract*1 citation*
37. **[The Unreasonable Ineffectiveness of Nucleus Sampling on Mitigating Text Memorization ↗](https://aclanthology.org/2024.inlg-main.30/)**Luka Borec, Philipp Sadler, David Schlangen*1 citation*
38. **[Transfer-Learning based on Extract, Paraphrase and Compress Models for Neural Abstractive Multi-Document Summarization ↗](https://aclanthology.org/2024.inlg-main.17/)**Yllias Chali, Elozino Egonmwan*1 citation*
39. **[(Mostly) Automatic Experiment Execution for Human Evaluations of NLP Systems ↗](https://aclanthology.org/2024.inlg-main.22/)**Craig Thomson, Anya Belz
40. **[A Report on LSG 2024: LLM Fine-Tuning for Fictional Stories Generation ↗](https://aclanthology.org/2024.inlg-genchal.14/)**Daria Seredina
41. **[Audio-visual training for improved grounding in video-text LLMs ↗](https://aclanthology.org/2024.inlg-main.36/)**Shivprasad Rajendra Sagare, Hemachandran S, Kinshuk Sarabhai et al.
42. **[AutoTemplate: A Simple Recipe for Lexically Constrained Text Generation ↗](https://aclanthology.org/2024.inlg-main.1/)**Hayate Iso
43. **[Automatically Generating IsiZulu Words From Indo-Arabic Numerals ↗](https://aclanthology.org/2024.inlg-main.21/)**Zola Mahlaza, Tadiwa Magwenzi, C. Maria Keet et al.
44. **[Be My Mate: Simulating Virtual Students for collaboration using Large Language Models ↗](https://aclanthology.org/2024.inlg-demos.1/)**Sergi Solera-Monforte, Pablo Arnau-González, Miguel Arevalillo-Herráez · System Demonstrations
45. **[Customizing Large Language Model Generation Style using Parameter-Efficient Finetuning ↗](https://aclanthology.org/2024.inlg-main.34/)**Xinyue Liu, Harshita Diddee, Daphne Ippolito
46. **[DCU-ADAPT-modPB at the GEM'24 Data-to-Text Generation Task: Model Hybridisation for Pipeline Data-to-Text Natural Language Generation ↗](https://aclanthology.org/2024.inlg-genchal.7/)**Chinonso Cynthia Osuji, Rudali Huidrom, Kolawole John Adebayo et al.
47. **[DCU-NLG-PBN at the GEM'24 Data-to-Text Task: Open-Source LLM PEFT-Tuning for Effective Data-to-Text Generation ↗](https://aclanthology.org/2024.inlg-genchal.8/)**Michela Lorandi, Anya Belz
48. **[DCU-NLG-Small at the GEM'24 Data-to-Text Task: Rule-based generation and post-processing with T5-Base ↗](https://aclanthology.org/2024.inlg-genchal.9/)**Simon Mille, Mohammed Sabry, Anya Belz
49. **[Differences in Semantic Errors Made by Different Types of Data-to-text Systems ↗](https://aclanthology.org/2024.inlg-main.47/)**Rudali Huidrom, Anya Belz, Michela Lorandi
50. **[DipInfo-UniTo at the GEM'24 Data-to-Text Task: Augmenting LLMs with the Split-Generate-Aggregate Pipeline ↗](https://aclanthology.org/2024.inlg-genchal.6/)**Michael Oliverio, Pier Felice Balestrucci, Alessandro Mazzei et al.
51. **[Enhancing Editorial Tasks: A Case Study on Rewriting Customer Help Page Contents Using Large Language Models ↗](https://aclanthology.org/2024.inlg-main.33/)**Aleksandra Gabryszak, Daniel Röder, Arne Binder et al.
52. **[Evaluating RDF-to-text Generation Models for English and Russian on Out Of Domain Data ↗](https://aclanthology.org/2024.inlg-main.11/)**Anna Nikiforovskaya, Claire Gardent
53. **[Exploring the impact of data representation on neural data-to-text generation ↗](https://aclanthology.org/2024.inlg-main.20/)**David M. Howcroft, Lewis N. Watson, Olesia Nedopas et al.
54. **[Filling Gaps in Wikipedia: Leveraging Data-to-Text Generation to Improve Encyclopedic Coverage of Underrepresented Groups ↗](https://aclanthology.org/2024.inlg-demos.6/)**Simon Mille, Massimiliano Pronesti, Craig Thomson et al. · System Demonstrations
55. **[Generating Attractive Ad Text by Facilitating the Reuse of Landing Page Expressions ↗](https://aclanthology.org/2024.inlg-main.46/)**Hidetaka Kamigaito, Soichiro Murakami, Peinan Zhang et al.
56. **[Generating Faithful and Salient Text from Multimodal Data ↗](https://aclanthology.org/2024.inlg-main.50/)**Tahsina Hashem, Weiqing Wang, Derry Tanti Wijaya et al.
57. **[Generating Hotel Highlights from Unstructured Text using LLMs ↗](https://aclanthology.org/2024.inlg-main.23/)**Srinivas Ramesh Kamath, Fahime Same, Saad Mahamood
58. **[Generating Simple, Conservative and Unifying Explanations for Logistic Regression Models ↗](https://aclanthology.org/2024.inlg-main.9/)**Sameen Maruf, Ingrid Zukerman, Xuelin Situ et al.
59. **[LLM Neologism: Emergence of Mutated Characters due to Byte Encoding ↗](https://aclanthology.org/2024.inlg-main.3/)**Ran Iwamoto, Hiroshi Kanayama
60. **[Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems ↗](https://aclanthology.org/2024.inlg-main.48/)**Jędrzej Warczyński, Mateusz Lango, Ondrej Dusek
61. **[Leveraging Plug-and-Play Models for Rhetorical Structure Control in Text Generation ↗](https://aclanthology.org/2024.inlg-main.40/)**Yuka Yokogawa, Tatsuya Ishigaki, Hiroya Takamura et al.
62. **[MTSwitch: A Web-based System for Translation between Molecules and Texts ↗](https://aclanthology.org/2024.inlg-demos.2/)**Nijia Han, Zimu Wang, Yuqi Wang et al. · System Demonstrations
63. **[Noisy Pairing and Partial Supervision for Stylized Opinion Summarization ↗](https://aclanthology.org/2024.inlg-main.2/)**Hayate Iso, Xiaolan Wang, Yoshi Suhara
64. **[OSU CompLing at the GEM'24 Data-to-Text Task ↗](https://aclanthology.org/2024.inlg-genchal.11/)**Alyssa Allen, Ashley Lewis, Yi-Chien Lin et al.
65. **[Pipeline Neural Data-to-text with Large Language Models ↗](https://aclanthology.org/2024.inlg-main.27/)**Chinonso Cynthia Osuji, Brian Timoney, Thiago Castro Ferreira et al.
66. **[QCET: An Interactive Taxonomy of Quality Criteria for Comparable and Repeatable Evaluation of NLP Systems ↗](https://aclanthology.org/2024.inlg-demos.4/)**Anya Belz, Simon Mille, Craig Thomson et al. · System Demonstrations
67. **[Reduction-Synthesis: Plug-and-Play for Sentiment Style Transfer ↗](https://aclanthology.org/2024.inlg-main.28/)**Sheng Xu, Fumiyo Fukumoto, Yoshimi Suzuki
68. **[Referring Expression Generation in Visually Grounded Dialogue with Discourse-aware Comprehension Guiding ↗](https://aclanthology.org/2024.inlg-main.38/)**Bram Willemsen, Gabriel Skantze
69. **[Resilience through Scene Context in Visual Referring Expression Generation ↗](https://aclanthology.org/2024.inlg-main.29/)**Simeon Junker, Sina Zarrieß
70. **[TeamSaarLST at the GEM'24 Data-to-text Task: Revisiting symbolic retrieval in the LLM-age ↗](https://aclanthology.org/2024.inlg-genchal.10/)**Mayank Jobanputra, Vera Demberg
71. **[Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories ↗](https://aclanthology.org/2024.inlg-main.24/)**Hikaru Asano, Ryo Yonetani, Taiki Sekii et al.
72. **[The LSG Challenge Workshop at INLG 2024: Prompting Techniques for Crafting Extended Narratives with LLMs ↗](https://aclanthology.org/2024.inlg-genchal.13/)**Aleksandr Boriskin, Daria Galimzianova
73. **[factgenie: A Framework for Span-based Evaluation of Generated Texts ↗](https://aclanthology.org/2024.inlg-demos.5/)**Zdeněk Kasner, Ondrej Platek, Patricia Schmidtova et al. · System Demonstrations
74. **[pyrealb at the GEM'24 Data-to-text Task: Symbolic English Text Generation from RDF Triples](https://md.research.elamur.ai/free/en/papers/lapalme-2024-pyrealb-gem-24-data-text/)**Guy Lapalme*our summary*
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