| 2024 | Moderation in the Wild: Investigating User-Driven Moderation in Online Discussions. | Neele Falk, Eva Maria Vecchi, Iman Jundi, Gabriella Lapesa |
| 2024 | Consistent Joint Decision-Making with Heterogeneous Learning Models. | Hossein Rajaby Faghihi, Parisa Kordjamshidi |
| 2024 | From Partial to Strictly Incremental Constituent Parsing. | Ana Ezquerro, Carlos Gmez-Rodrguez, David Vilares |
| 2024 | RAGAs: Automated Evaluation of Retrieval Augmented Generation. | Shahul ES, Jithin James, Luis Espinosa Anke, Steven Schockaert |
| 2024 | ScamSpot: Fighting Financial Fraud in Instagram Comments. | Stefan Erben, Andreas Waldis |
| 2024 | Revisiting the Markov Property for Machine Translation. | Cunxiao Du, Hao Zhou, Zhaopeng Tu, Jing Jiang |
| 2024 | Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection. | David Dukic, Kiril Gashteovski, Goran Glavas, Jan Snajder |
| 2024 | Syntactic Preposing and Discourse Relations. | Yunfang Dong, Xixian Liao, Bonnie Webber |
| 2024 | Autoregressive Score Generation for Multi-trait Essay Scoring. | Heejin Do, Yunsu Kim, Gary Lee |
| 2024 | ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases. | Quyet V. Do, Tianqing Fang, Shizhe Diao, Zhaowei Wang, Yangqiu Song |
| 2024 | SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks. | Gourab Dey, Adithya V. Ganesan, Yash Kumar Lal, Manal Shah, Shreyashee Sinha, Matthew Matero, Salvatore Giorgi, Vivek Kulkarni, H. Andrew Schwartz |
| 2024 | Benchmarking Diffusion Models for Machine Translation. | Yunus Demirag, Danni Liu, Jan Niehues |
| 2024 | DocChecker: Bootstrapping Code Large Language Model for Detecting and Resolving Code-Comment Inconsistencies. | Anh Dau, Jin L. C. Guo, Nghi D. Q. Bui |
| 2024 | Low-Resource Counterspeech Generation for Indic Languages: The Case of Bengali and Hindi. | Mithun Das, Saurabh Kumar Pandey, Shivansh Sethi, Punyajoy Saha, Animesh Mukherjee |
| 2024 | LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking. | Fahim Dalvi, Maram Hasanain, Sabri Boughorbel, Basel Mousi, Samir Abdaljalil, Nizi Nazar, Ahmed Abdelali, Shammur Absar Chowdhury, Hamdy Mubarak, Ahmed Ali |
| 2024 | Can docstring reformulation with an LLM improve code generation? | Nicola Dainese, Alexander Ilin, Pekka Marttinen |
| 2024 | Morphology Aware Source Term Masking for Terminology-Constrained NMT. | Ander Corral, Xabier Saralegi |
| 2024 | "It's how you do things that matters": Attending to Process to Better Serve Indigenous Communities with Language Technologies. | Ned Cooper, Courtney Heldreth, Ben Hutchinson |
| 2024 | Text-to-Code Generation with Modality-relative Pre-training. | Fenia Christopoulou, Guchun Zhang, Gerasimos Lampouras |
| 2024 | Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering. | Arijit Ghosh Chowdhury, Aman Chadha |
| 2024 | QAEVENT: Event Extraction as Question-Answer Pairs Generation. | Milind Choudhary, Xinya Du |
| 2024 | GPTs Are Multilingual Annotators for Sequence Generation Tasks. | Juhwan Choi, Eunju Lee, Kyohoon Jin, YoungBin Kim |
| 2024 | AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes. | Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim |
| 2024 | NESTLE: a No-Code Tool for Statistical Analysis of Legal Corpus. | Kyoungyeon Cho, Seungkum Han, Young Rok Choi, Wonseok Hwang |
| 2024 | Analyzing the Role of Part-of-Speech in Code-Switching: A Corpus-Based Study. | Jie Chi, Peter Bell |