---
title: "INLG 2022 — all accepted papers with summaries and citations"
description: "All 46 papers of INLG 2022, the most cited first; those with our summary link to it. Among them: Analogy Generation by Prompting Large…"
canonical: "https://research.elamur.ai/free/en/venues/inlg/2022/papers/"
---
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# INLG 2022: all accepted papers

46 papers · the most cited first · [← INLG 2022](https://md.research.elamur.ai/free/en/venues/inlg/2022/)

1. **[Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT ↗](https://aclanthology.org/2022.inlg-main.25/)**Bhavya Bhavya, Jinjun Xiong, ChengXiang Zhai*39 citations*
2. **[Arabic Image Captioning using Pre-training of Deep Bidirectional Transformers](https://md.research.elamur.ai/free/en/papers/emami-2022-arabic-image-captioning-pre-training/)**Jonathan Emami, Pierre Nugues, Ashraf Elnagar et al.*25 citations · our summary*
3. **[Dealing with hallucination and omission in neural Natural Language Generation: A use case on meteorology. ↗](https://aclanthology.org/2022.inlg-main.10/)**Javier González-Corbelle, Jose M. Alonso-Moral, A. Bugarín-Diz et al.*23 citations*
4. **[Nominal Metaphor Generation with Multitask Learning ↗](https://aclanthology.org/2022.inlg-main.18/)**Yucheng Li, Chenghua Lin, Frank Guerin*14 citations*
5. **[Quantum Natural Language Generation on Near-Term Devices ↗](https://aclanthology.org/2022.inlg-main.22/)**Amin Karamlou, James Wootton, Marcel Pfaffhauser*12 citations*
6. **[Math Word Problem Generation with Multilingual Language Models ↗](https://aclanthology.org/2022.inlg-main.12/)**Kashyapa Niyarepola, Dineth Athapaththu, Savindu Ekanayake et al.*9 citations*
7. **[Template-based Approach to Zero-shot Intent Recognition ↗](https://aclanthology.org/2022.inlg-main.2/)**Dmitry Lamanov, Pavel Burnyshev, Ekaterina Artemova et al.*6 citations*
8. **[Amortized Noisy Channel Neural Machine Translation ↗](https://aclanthology.org/2022.inlg-main.11/)**Richard Yuanzhe Pang, He He, Kyunghyun Cho*4 citations*
9. **[Comparing informativeness of an NLG chatbot vs graphical app in diet-information domain ↗](https://aclanthology.org/2022.inlg-main.13/)**Simone Balloccu, Ehud Reiter*4 citations*
10. **[Strategies for framing argumentative conclusion generation ↗](https://aclanthology.org/2022.inlg-main.20/)**Philipp Heinisch, Anette Frank, Juri Opitz et al.*4 citations*
11. **[Evaluating Referring Form Selection Models in Partially-Known Environments ↗](https://aclanthology.org/2022.inlg-main.1/)**Zhao Han, Polina Rygina, Thomas Williams*3 citations*
12. **[Towards Evaluation of Multi-party Dialogue Systems ↗](https://aclanthology.org/2022.inlg-main.23/)**Khyati Mahajan, Sashank Santhanam, Samira Shaikh*3 citations*
13. **[Are Current Decoding Strategies Capable of Facing the Challenges of Visual Dialogue? ↗](https://aclanthology.org/2022.inlg-main.24/)**Amit Kumar Chaudhary, Alex J. Lucassen, Ioanna Tsani et al.*2 citations*
14. **[Look and Answer the Question: On the Role of Vision in Embodied Question Answering ↗](https://aclanthology.org/2022.inlg-main.19/)**Nikolai Ilinykh, Yasmeen Emampoor, Simon Dobnik*2 citations*
15. **[Automatic Generation of Factual News Headlines in Finnish ↗](https://aclanthology.org/2022.inlg-main.8/)**Maximilian Koppatz, Khalid Alnajjar, Mika Hämäläinen et al.*1 citation*
16. **[Evaluating Legal Accuracy of Neural Generators on the Generation of Criminal Court Dockets Description ↗](https://aclanthology.org/2022.inlg-main.7/)**Nicolas Garneau, Eve Gaumond, Luc Lamontagne et al.*1 citation*
17. **[Generation of Student Questions for Inquiry-based Learning ↗](https://aclanthology.org/2022.inlg-main.14/)**Kevin Ros, Maxwell Jong, Chak Ho Chan et al.*1 citation*
18. **[LAFT: Cross-lingual Transfer for Text Generation by Language-Agnostic Finetuning ↗](https://aclanthology.org/2022.inlg-main.21/)**Xianze Wu, Zaixiang Zheng, Hao Zhou et al.*1 citation*
19. **[Plot Writing From Pre-Trained Language Models ↗](https://aclanthology.org/2022.inlg-main.5/)**Yiping Jin, Vishakha Kadam, Dittaya Wanvarie*1 citation*
20. **[Zero-shot Cross-Linguistic Learning of Event Semantics ↗](https://aclanthology.org/2022.inlg-main.17/)**Malihe Alikhani, Thomas Kober, Bashar Alhafni et al.*1 citation*
21. **[A Multi-Task Learning Approach for Summarization of Dialogues ↗](https://aclanthology.org/2022.inlg-genchal.16/)**Saprativa Bhattacharjee, Kartik Shinde, Tirthankar Ghosal et al.
22. **[A reproduction study of methods for evaluating dialogue system output: Replicating Santhanam and Shaikh (2019) ↗](https://aclanthology.org/2022.inlg-genchal.13/)**Anouck Braggaar, Frédéric Tomas, Peter Blomsma et al.
23. **[Automated Ad Creative Generation ↗](https://aclanthology.org/2022.inlg-demos.3/)**Vishakha Kadam, Yiping Jin, Bao-Dai Nguyen-Hoang · System Demonstrations
24. **[BITS Pilani at HinglishEval: Quality Evaluation for Code-Mixed Hinglish Text Using Transformers ↗](https://aclanthology.org/2022.inlg-genchal.6/)**Shaz Furniturewala, Vijay Kumari, Amulya Ratna Dash et al.
25. **[BLAB Reporter: Automated journalism covering the Blue Amazon ↗](https://aclanthology.org/2022.inlg-demos.1/)**Yan Sym, João Campos, Fabio Cozman · System Demonstrations
26. **[DialogSum Challenge: Results of the Dialogue Summarization Shared Task ↗](https://aclanthology.org/2022.inlg-genchal.14/)**Yulong Chen, Naihao Deng, Yang Liu et al.
27. **[Dialogue Summarization using BART ↗](https://aclanthology.org/2022.inlg-genchal.17/)**Conrad Lundberg, Leyre Sánchez Viñuela, Siena Biales
28. **[Generating Coherent and Informative Descriptions for Groups of Visual Objects and Categories: A Simple Decoding Approach ↗](https://aclanthology.org/2022.inlg-main.9/)**Nazia Attari, David Schlangen, Martin Heckmann et al.
29. **[Generating Landmark-based Manipulation Instructions from Image Pairs ↗](https://aclanthology.org/2022.inlg-main.16/)**Sina Zarrieß, Henrik Voigt, David Schlangen et al.
30. **[Generating Quizzes to Support Training on Quality Management and Assurance in Space Science and Engineering ↗](https://aclanthology.org/2022.inlg-demos.2/)**Andres Garcia-Silva, Cristian Berrio Aroca, Jose Manuel Gomez-Perez et al. · System Demonstrations
31. **[HinglishEval Generation Challenge on Quality Estimation of Synthetic Code-Mixed Text: Overview and Results ↗](https://aclanthology.org/2022.inlg-genchal.3/)**Vivek Srivastava, Mayank Singh
32. **[JU_NLP at HinglishEval: Quality Evaluation of the Low-Resource Code-Mixed Hinglish Text ↗](https://aclanthology.org/2022.inlg-genchal.7/)**Prantik Guha, Rudra Dhar, Dipankar Das
33. **[Keyword Provision Question Generation for Facilitating Educational Reading Comprehension Preparation ↗](https://aclanthology.org/2022.inlg-main.15/)**Ying-Hong Chan, Ho-Lam Chung, Yao-Chung Fan
34. **[Paraphrasing via Ranking Many Candidates ↗](https://aclanthology.org/2022.inlg-main.6/)**Joosung Lee
35. **[PreCogIIITH at HinglishEval : Leveraging Code-Mixing Metrics & Language Model Embeddings To Estimate Code-Mix Quality ↗](https://aclanthology.org/2022.inlg-genchal.4/)**Prashant Kodali, Tanmay Sachan, Akshay Goindani et al.
36. **[Reproducibility of Exploring Neural Text Simplification Models: A Review ↗](https://aclanthology.org/2022.inlg-genchal.10/)**Mohammad Arvan, Luís Pina, Natalie Parde
37. **[Reproducing a Manual Evaluation of the Simplicity of Text Simplification System Outputs ↗](https://aclanthology.org/2022.inlg-genchal.12/)**Maja Popović, Sheila Castilho, Rudali Huidrom et al.
38. **[TCS_WITM_2022 @ DialogSum : Topic oriented Summarization using Transformer based Encoder Decoder Model ↗](https://aclanthology.org/2022.inlg-genchal.15/)**Vipul Chauhan, Prasenjeet Roy, Lipika Dey et al.
39. **[THEaiTRobot: An Interactive Tool for Generating Theatre Play Scripts ↗](https://aclanthology.org/2022.inlg-demos.4/)**Rudolf Rosa, Patrícia Schmidtová, Alisa Zakhtarenko et al. · System Demonstrations
40. **[The 2022 ReproGen Shared Task on Reproducibility of Evaluations in NLG: Overview and Results ↗](https://aclanthology.org/2022.inlg-genchal.8/)**Anya Belz, Anastasia Shimorina, Maja Popović et al.
41. **[The Accuracy Evaluation Shared Task as a Retrospective Reproduction Study ↗](https://aclanthology.org/2022.inlg-genchal.11/)**Craig Thomson, Ehud Reiter
42. **[The Cross-lingual Conversation Summarization Challenge ↗](https://aclanthology.org/2022.inlg-genchal.2/)**Yulong Chen, Ming Zhong, Xuefeng Bai et al.
43. **[The Second Automatic Minuting (AutoMin) Challenge: Generating and Evaluating Minutes from Multi-Party Meetings ↗](https://aclanthology.org/2022.inlg-genchal.1/)**Tirthankar Ghosal, Marie Hledíková, Muskaan Singh et al.
44. **[Two Reproductions of a Human-Assessed Comparative Evaluation of a Semantic Error Detection System ↗](https://aclanthology.org/2022.inlg-genchal.9/)**Rudali Huidrom, Ondřej Dušek, Zdeněk Kasner et al.
45. **[“Slow Service” \ensuremath\nrightarrow “Great Food”: Enhancing Content Preservation in Unsupervised Text Style Transfer ↗](https://aclanthology.org/2022.inlg-main.3/)**Wanzheng Zhu, Suma Bhat
46. **[niksss at HinglishEval: Language-agnostic BERT-based Contextual Embeddings with Catboost for Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text ↗](https://aclanthology.org/2022.inlg-genchal.5/)**Nikhil Singh
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