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INLG 2024 — accepted papers

INLG 2024 is the 2024 edition of the International Natural Language Generation Conference (INLG), held in Tokyo, Japan, September 2024 (publisher: Association for Computational Linguistics). The ACL Anthology lists 74 papers of it in 3 tracks; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

 74papers in the proceedings 2works in our library 11citations of these works Tokyo, Japanwhere it was held September 2024when

Tracks

Main67System Demonstrations6Tutorial Abstract1

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

  1. Automatic Metrics in Natural Language Generation: A survey of Current Evaluation Practices ↗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 ↗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 ↗Sambaran Bandyopadhyay, Himanshu Maheshwari, Anandhavelu Natarajan et al.10 citations
  4. Explainability Meets Text Summarization: A Survey ↗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 ↗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 ↗Weijia Zhang, Mohammad Aliannejadi, Yifei Yuan et al.7 citations
  7. Zero-shot cross-lingual transfer in instruction tuning of large language models ↗Nadezhda Chirkova, Vassilina Nikoulina6 citations
  8. A Comprehensive Analysis of Memorization in Large Language Models ↗Hirokazu Kiyomaru, Issa Sugiura, Daisuke Kawahara et al.5 citations
  9. Are Large Language Models Actually Good at Text Style Transfer? ↗Sourabrata Mukherjee, Atul Kr. Ojha, Ondrej Dusek5 citations
  10. n-gram F-score for Evaluating Grammatical Error Correction ↗Shota Koyama, Ryo Nagata, Hiroya Takamura et al.5 citations

All accepted papers (74)

The most cited first; 2 with our summary link to their page here, the others to the original.

  1. Automatic Metrics in Natural Language Generation: A survey of Current Evaluation Practices ↗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 ↗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 ↗Sambaran Bandyopadhyay, Himanshu Maheshwari, Anandhavelu Natarajan et al.10 citations
  4. Explainability Meets Text Summarization: A Survey ↗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 ↗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 ↗Weijia Zhang, Mohammad Aliannejadi, Yifei Yuan et al.7 citations
  7. Zero-shot cross-lingual transfer in instruction tuning of large language models ↗Nadezhda Chirkova, Vassilina Nikoulina6 citations
  8. A Comprehensive Analysis of Memorization in Large Language Models ↗Hirokazu Kiyomaru, Issa Sugiura, Daisuke Kawahara et al.5 citations
  9. Are Large Language Models Actually Good at Text Style Transfer? ↗Sourabrata Mukherjee, Atul Kr. Ojha, Ondrej Dusek5 citations
  10. n-gram F-score for Evaluating Grammatical Error Correction ↗Shota Koyama, Ryo Nagata, Hiroya Takamura et al.5 citations
  11. AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interaction ↗Zhe Hu, Hou Pong Chan, Yu Yin4 citations
  12. CEval: A Benchmark for Evaluating Counterfactual Text Generation ↗Van Bach Nguyen, Christin Seifert, Jörg Schlötterer4 citations
  13. Communicating Uncertainty in Explanations of the Outcomes of Machine Learning Models ↗Ingrid Zukerman, Sameen Maruf4 citations
  14. The Gricean Maxims in NLP - A SurveyLea Krause, Piek T.J.M. Vossen4 citations · our summary
  15. Towards Effective Long Conversation Generation with Dynamic Topic Tracking and Recommendation ↗Trevor Ashby, Adithya Kulkarni, Jingyuan Qi et al.4 citations
  16. Context-aware Visual Storytelling with Visual Prefix Tuning and Contrastive Learning ↗Yingjin Song, Denis Paperno, Albert Gatt3 citations
  17. Long-Form Analogy Evaluation Challenge ↗Bhavya Bhavya, Chris Palaguachi, Yang Zhou et al.3 citations
  18. Multilingual Text Style Transfer: Datasets & Models for Indian Languages ↗Sourabrata Mukherjee, Atul Kr. Ojha, Akanksha Bansal et al.3 citations
  19. Overview of Long Story Generation Challenge (LSGC) at INLG 2024 ↗Aleksandr Migal, Daria Seredina, Ludmila Telnina et al.3 citations
  20. aiXplain SDK: A High-Level and Standardized Toolkit for AI Assets ↗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 ↗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 ↗Samia Rahman, Momtazul Arefin Labib, Hasan Murad et al.2 citations
  23. Extractive Summarization via Fine-grained Semantic Tuple Extraction ↗Yubin Ge, Sullam Jeoung, Jana Diesner2 citations
  24. 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
  25. German Voter Personas Can Radicalize LLM Chatbots via the Echo Chamber Effect ↗Maximilian Bleick, Nils Feldhus, Aljoscha Burchardt et al.2 citations

See all 74 papers in INLG 2024 — accepted papers →

 Papers with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

  1. The Gricean Maxims in NLP — A SurveyLea Krause, Piek T.J.M. Vossen2024 · 10 citations
  2. pyrealb at the GEM'24 Data-to-text Task: Symbolic English Text Generation from RDF TriplesGuy Lapalme2024 · 1 citation

 Top topics

Topics of its works in our library, with the number of works on each.

Text generation (2)English (2)Implicature (1)Knowledge graphs & ontologies (1)

 Fields

Arts and Humanities (2)Computer Science (2)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🧑‍🔬Piek Vossen1 work here · 10 citations🧑‍🔬Guy Lapalme1 work here · 1 citation

 Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓Université de MontréalMontreal · Canada1 work here🎓Vrije Universiteit AmsterdamAmsterdam · Netherlands1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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