| 2024 | PDFTriage: Question Answering over Long, Structured Documents. | Jon Saad-Falcon, Joe Barrow, Alexa F. Siu, Ani Nenkova, Seunghyun Yoon, Ryan A. Rossi, Franck Dernoncourt |
| 2024 | Enhancing Polyglot Voices by Leveraging Cross-Lingual Fine-Tuning in Any-to-One Voice Conversion. | Giuseppe Ruggiero, Matteo Testa, Jurgen Van de Walle, Luigi Di Caro |
| 2024 | Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions. | Qian Ruan, Ilia Kuznetsov, Iryna Gurevych |
| 2024 | Knowledge Editing in Language Models via Adapted Direct Preference Optimization. | Amit Rozner, Barak Battash, Lior Wolf, Ofir Lindenbaum |
| 2024 | Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification. | Sudipta Singha Roy, Xindi Wang, Robert E. Mercer, Frank Rudzicz |
| 2024 | Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA. | Nirmal Roy, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Kevin Small |
| 2024 | ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation. | Kashob Kumar Roy, Pritom Saha Akash, Kevin Chen-Chuan Chang, Lucian Popa |
| 2024 | LLM Questionnaire Completion for Automatic Psychiatric Assessment. | Gony Rosenman, Talma Hendler, Lior Wolf |
| 2024 | Immunization against harmful fine-tuning attacks. | Domenic Rosati, Jan Wehner, Kai Williams, Lukasz Bartoszcze, Hassan Sajjad, Frank Rudzicz |
| 2024 | NCPrompt: NSP-Based Prompt Learning and Contrastive Learning for Implicit Discourse Relation Recognition. | Yuetong Rong, Yijun Mo |
| 2024 | From Test-Taking to Test-Making: Examining LLM Authoring of Commonsense Assessment Items. | Melissa Roemmele, Andrew Gordon |
| 2024 | Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification? | Gabriel Roccabruna, Massimo Rizzoli, Giuseppe Riccardi |
| 2024 | MiTTenS: A Dataset for Evaluating Gender Mistranslation. | Kevin Robinson, Sneha Kudugunta, Romina Stella, Sunipa Dev, Jasmijn Bastings |
| 2024 | Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling. | Irfan Robbani, Paul Reisert, Surawat Pothong, Naoya Inoue, Camlia Guerraoui, Wenzhi Wang, Shoichi Naito, Jungmin Choi, Kentaro Inui |
| 2024 | Can Language Models Recognize Convincing Arguments? | Paula Rescala, Manoel Horta Ribeiro, Tiancheng Hu, Robert West |
| 2024 | Are ELECTRA's Sentence Embeddings Beyond Repair? The Case of Semantic Textual Similarity. | Ivan Rep, David Dukic, Jan Snajder |
| 2024 | The Effect of Sampling Temperature on Problem Solving in Large Language Models. | Matthew Renze |
| 2024 | CEAMC: Corpus and Empirical Study of Argument Analysis in Education via LLMs. | Yupei Ren, Hongyi Wu, Zhaoguang Long, Shangqing Zhao, Xinyi Zhou, Zheqin Yin, Xinlin Zhuang, Xiaopeng Bai, Man Lan |
| 2024 | I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses. | Xuan Ren, Biao Wu, Lingqiao Liu |
| 2024 | BASES: Large-scale Web Search User Simulation with Large Language Model based Agents. | Ruiyang Ren, Peng Qiu, Yingqi Qu, Jing Liu, Xin Zhao, Hua Wu, Ji-Rong Wen, Haifeng Wang |
| 2024 | Dense Passage Retrieval: Is it Retrieving? | Benjamin Z. Reichman, Larry Heck |
| 2024 | FIRST: Faster Improved Listwise Reranking with Single Token Decoding. | Revanth Gangi Reddy, JaeHyeok Doo, Yifei Xu, Md. Arafat Sultan, Deevya Swain, Avirup Sil, Heng Ji |
| 2024 | AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings. | Revanth Gangi Reddy, Omar Attia, Yunyao Li, Heng Ji, Saloni Potdar |
| 2024 | Dial BeInfo for Faithfulness: Improving Factuality of Information-Seeking Dialogue via Behavioural Fine-Tuning. | Evgeniia Razumovskaia, Ivan Vulic, Pavle Markovic, Tomasz Cichy, Qian Zheng, Tsung-Hsien Wen, Pawel Budzianowski |
| 2024 | Plot Twist: Multimodal Models Don't Comprehend Simple Chart Details. | Yasaman Razeghi, Ishita Dasgupta, Fangyu Liu, Vinay Ramasesh, Sameer Singh |