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ORCID17th INLG 2024: Tokyo, Japan
- Saad Mahamood, Minh Le Nguyen, Daphne Ippolito:
Proceedings of the 17th International Natural Language Generation Conference, INLG 2024, Tokyo, Japan, September 23 - 27, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-122-3 - Hayate Iso:
AutoTemplate: A Simple Recipe for Lexically Constrained Text Generation. 1-12 - Hayate Iso, Xiaolan Wang, Yoshi Suhara:
Noisy Pairing and Partial Supervision for Stylized Opinion Summarization. 13-23 - Ran Iwamoto, Hiroshi Kanayama:
LLM Neologism: Emergence of Mutated Characters due to Byte Encoding. 24-29 - Ingrid Zukerman, Sameen Maruf:
Communicating Uncertainty in Explanations of the Outcomes of Machine Learning Models. 30-46 - Matiss Rikters, Makoto Miwa:
Entity-aware Multi-task Training Helps Rare Word Machine Translation. 47-54 - Van Bach Nguyen, Christin Seifert, Jörg Schlötterer:
CEval: A Benchmark for Evaluating Counterfactual Text Generation. 55-69 - William Soto Martinez, Yannick Parmentier, Claire Gardent:
Generating from AMRs into High and Low-Resource Languages using Phylogenetic Knowledge and Hierarchical QLoRA Training (HQL). 70-81 - Zhe Hu, Hou Pong Chan, Yu Yin:
AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interaction. 82-102 - Sameen Maruf, Ingrid Zukerman, Xuelin Situ, Cécile Paris, Gholamreza Haffari:
Generating Simple, Conservative and Unifying Explanations for Logistic Regression Models. 103-120 - Yubin Ge, Sullam Jeoung, Jana Diesner:
Extractive Summarization via Fine-grained Semantic Tuple Extraction. 121-133 - Anna Nikiforovskaya, Claire Gardent:
Evaluating RDF-to-text Generation Models for English and Russian on Out Of Domain Data. 134-144 - Yurie Koga, Shunsuke Kando, Yusuke Miyao:
Forecasting Implicit Emotions Elicited in Conversations. 145-152 - Maximilian Bleick, Nils Feldhus, Aljoscha Burchardt, Sebastian Möller:
German Voter Personas Can Radicalize LLM Chatbots via the Echo Chamber Effect. 153-164 - Shotaro Ishihara, Hiromu Takahashi:
Quantifying Memorization and Detecting Training Data of Pre-trained Language Models using Japanese Newspaper. 165-179 - Simone Alghisi, Massimo Rizzoli, Gabriel Roccabruna, Seyed Mahed Mousavi, Giuseppe Riccardi:
Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue. 180-197 - Chen-Jui Yu, Wen Hung Lee, Lin Tse Ke, Shih-Wei Guo, Yao-Chung Fan:
Automating True-False Multiple-Choice Question Generation and Evaluation with Retrieval-based Accuracy Differential. 198-212 - Yllias Chali, Elozino Egonmwan:
Transfer-Learning based on Extract, Paraphrase and Compress Models for Neural Abstractive Multi-Document Summarization. 213-221 - Sambaran Bandyopadhyay, Himanshu Maheshwari, Anandhavelu Natarajan, Apoorv Saxena:
Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach. 222-229 - Lea Löhn, Niklas Kiehne, Alexander Ljapunov, Wolf-Tilo Balke:
Is Machine Psychology here? On Requirements for Using Human Psychological Tests on Large Language Models. 230-242 - David M. Howcroft, Lewis N. Watson, Olesia Nedopas, Dimitra Gkatzia:
Exploring the impact of data representation on neural data-to-text generation. 243-253 - Zola Mahlaza, Tadiwa Magwenzi, C. Maria Keet, Langa Khumalo:
Automatically Generating IsiZulu Words From Indo-Arabic Numerals. 254-271 - Craig Thomson, Anya Belz:
(Mostly) Automatic Experiment Execution for Human Evaluations of NLP Systems. 272-279 - Srinivas Ramesh Kamath, Fahime Same, Saad Mahamood:
Generating Hotel Highlights from Unstructured Text using LLMs. 280-288 - Hikaru Asano, Ryo Yonetani, Taiki Sekii, Hiroki Ouchi:
Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories. 289-302 - Shota Koyama, Ryo Nagata, Hiroya Takamura, Naoaki Okazaki:
n-gram F-score for Evaluating Grammatical Error Correction. 303-313 - Chih-Hsuan Shen, Yi-Li Kuo, Yao-Chung Fan:
Personalized Cloze Test Generation with Large Language Models: Streamlining MCQ Development and Enhancing Adaptive Learning. 314-319 - Chinonso Cynthia Osuji, Brian Timoney, Thiago Castro Ferreira, Brian Davis:
Pipeline Neural Data-to-text with Large Language Models. 320-329 - Sheng Xu, Fumiyo Fukumoto, Yoshimi Suzuki:
Reduction-Synthesis: Plug-and-Play for Sentiment Style Transfer. 330-343 - Simeon Junker, Sina Zarrieß:
Resilience through Scene Context in Visual Referring Expression Generation. 344-357 - Luka Borec, Philipp Sadler, David Schlangen:
The Unreasonable Ineffectiveness of Nucleus Sampling on Mitigating Text Memorization. 358-370 - Chen Tang, Hongbo Zhang, Tyler Loakman, Bohao Yang, Stefan Goetze, Chenghua Lin:
CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation. 371-383 - Yingjin Song, Denis Paperno, Albert Gatt:
Context-aware Visual Storytelling with Visual Prefix Tuning and Contrastive Learning. 384-401 - Aleksandra Gabryszak, Daniel Röder, Arne Binder, Luca Sion, Leonhard Hennig:
Enhancing Editorial Tasks: A Case Study on Rewriting Customer Help Page Contents Using Large Language Models. 402-411 - Xinyue Liu, Harshita Diddee, Daphne Ippolito:
Customizing Large Language Model Generation Style using Parameter-Efficient Finetuning. 412-426 - Weijia Zhang, Mohammad Aliannejadi, Yifei Yuan, Jiahuan Pei, Jia-Hong Huang, Evangelos Kanoulas:
Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics. 427-439 - Shivprasad Sagare, Hemachandran S, Kinshuk Sarabhai, Prashant Ullegaddi, Rajeshkumar SA:
Audio-visual training for improved grounding in video-text LLMs. 440-445 - Shreyas Sharma, Lucas Pavanelli, Thiago Castro Ferreira, Mohamed Al-Badrashiny, Hassan Sawaf:
aiXplain SDK: A High-Level and Standardized Toolkit for AI Assets. 446-452 - Bram Willemsen, Gabriel Skantze:
Referring Expression Generation in Visually Grounded Dialogue with Discourse-aware Comprehension Guiding. 453-469 - Lea Krause, Piek T. J. M. Vossen:
The Gricean Maxims in NLP - A Survey. 470-485 - Yuka Yokogawa, Tatsuya Ishigaki, Hiroya Takamura, Yusuke Miyao, Ichiro Kobayashi:
Leveraging Plug-and-Play Models for Rhetorical Structure Control in Text Generation. 486-493 - Sourabrata Mukherjee, Atul Kr. Ojha, Akanksha Bansal, Deepak Alok, John P. McCrae, Ondrej Dusek:
Multilingual Text Style Transfer: Datasets & Models for Indian Languages. 494-522 - Sourabrata Mukherjee, Atul Kr. Ojha, Ondrej Dusek:
Are Large Language Models Actually Good at Text Style Transfer? 523-539 - Trevor Ashby, Adithya Kulkarni, Jingyuan Qi, Minqian Liu, Eunah Cho, Vaibhav Kumar, Lifu Huang:
Towards Effective Long Conversation Generation with Dynamic Topic Tracking and Recommendation. 540-556 - Patrícia Schmidtová, Saad Mahamood, Simone Balloccu, Ondrej Dusek, Albert Gatt, Dimitra Gkatzia, David M. Howcroft, Ondrej Plátek, Adarsa Sivaprasad:
Automatic Metrics in Natural Language Generation: A survey of Current Evaluation Practices. 557-583 - Hirokazu Kiyomaru, Issa Sugiura, Daisuke Kawahara, Sadao Kurohashi:
A Comprehensive Analysis of Memorization in Large Language Models. 584-596 - Hidetaka Kamigaito, Soichiro Murakami, Peinan Zhang, Hiroya Takamura, Manabu Okumura:
Generating Attractive Ad Text by Facilitating the Reuse of Landing Page Expressions. 597-608 - Rudali Huidrom, Anya Belz, Michela Lorandi:
Differences in Semantic Errors Made by Different Types of Data-to-text Systems. 609-621 - Jedrzej Warczynski, Mateusz Lango, Ondrej Dusek:
Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems. 622-630 - Mahdi Dhaini, Ege Erdogan, Smarth Bakshi, Gjergji Kasneci:
Explainability Meets Text Summarization: A Survey. 631-645 - Tahsina Hashem, Weiqing Wang, Derry Tanti Wijaya, Mohammed Eunus Ali, Yuan-Fang Li:
Generating Faithful and Salient Text from Multimodal Data. 646-662 - Marco Antonio Sobrevilla Cabezudo, Marcio Lima Inácio, Thiago Alexandre Salgueiro Pardo:
Investigating Paraphrase Generation as a Data Augmentation Strategy for Low-Resource AMR-to-Text Generation. 663-675 - Pritika Ramu, Pranshu Gaur, Rishita Emandi, Himanshu Maheshwari, Danish Javed, Aparna Garimella:
Zooming in on Zero-Shot Intent-Guided and Grounded Document Generation using LLMs. 676-694 - Nadezhda Chirkova, Vassilina Nikoulina:
Zero-shot cross-lingual transfer in instruction tuning of large language models. 695-708
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last updated on 2024-09-23 23:32 CEST by the dblp team
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