---
title: "INLG 2024 — accepted papers — Elamur Research"
description: "INLG 2024 — accepted papers: 2 papers in the Elamur Research library (Tokyo, Japan), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/inlg/2024/"
---
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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.

📍 Tokyo, [Japan](https://md.research.elamur.ai/free/en/countries/japan/) · 🗓 September 2024

[**74** papers in the proceedings](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/inlg/2024/#works) · [**11** citations of these works](https://md.research.elamur.ai/free/en/venues/inlg/2024/#works)

## Tracks

Main 67System Demonstrations 6Tutorial Abstract 1

## 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 ↗](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*

## 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 ↗](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*

[See all 74 papers in INLG 2024 — accepted papers →](https://md.research.elamur.ai/free/en/venues/inlg/2024/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 Survey**Lea Krause, Piek T.J.M. Vossen*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/krause-2024-gricean-maxims-nlp-survey/)
2. [**pyrealb at the GEM'24 Data-to-text Task: Symbolic English Text Generation from RDF Triples**Guy Lapalme*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/lapalme-2024-pyrealb-gem-24-data-text/)

## Top topics

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

[Text generation (2)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [English (2)](https://md.research.elamur.ai/free/en/topics/english/) · [Implicature (1)](https://md.research.elamur.ai/free/en/topics/implicature/) · [Knowledge graphs & ontologies (1)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/)

## Fields

[Arts and Humanities (2)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (2)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

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

[🧑‍🔬**Piek Vossen**1 work here · 10 citations](https://md.research.elamur.ai/free/en/authors/piek-vossen/) · [🧑‍🔬**Guy Lapalme**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/guy-lapalme/)

## Top institutions

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

[🎓**Université de Montréal** Montreal · Canada 1 work here](https://md.research.elamur.ai/free/en/universities/universite-de-montreal/) · [🎓**Vrije Universiteit Amsterdam** Amsterdam · Netherlands 1 work here](https://md.research.elamur.ai/free/en/universities/vrije-universiteit-amsterdam/)

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

- [← previous INLG 2021](https://md.research.elamur.ai/free/en/venues/inlg/2021/)
- [↑ back to INLG](https://md.research.elamur.ai/free/en/venues/inlg/)