| 2024 | Self-generated Replay Memories for Continual Neural Machine Translation. | Michele Resta, Davide Bacciu |
| 2024 | Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales. | Lucas Resck, Marcos M. Raimundo, Jorge Poco |
| 2024 | A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. | Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang |
| 2024 | Tied-LoRA: Enhancing parameter efficiency of LoRA with Weight Tying. | Adithya Renduchintala, Tugrul Konuk, Oleksii Kuchaiev |
| 2024 | Beyond Performance: Quantifying and Mitigating Label Bias in LLMs. | Yuval Reif, Roy Schwartz |
| 2024 | SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU. | Evgeniia Razumovskaia, Goran Glavas, Anna Korhonen, Ivan Vulic |
| 2024 | SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window. | Vikas Raunak, Tom Kocmi, Matt Post |
| 2024 | A Tree-of-Thoughts to Broaden Multi-step Reasoning across Languages. | Leonardo Ranaldi, Giulia Pucci, Federico Ranaldi, Elena Sofia Ruzzetti, Fabio Massimo Zanzotto |
| 2024 | RE²: Region-Aware Relation Extraction from Visually Rich Documents. | Pritika Ramu, Sijia Wang, Lalla Mouatadid, Joy Rimchala, Lifu Huang |
| 2024 | PAELLA: Parameter-Efficient Lightweight Language-Agnostic Captioning Model. | Rita Ramos, Emanuele Bugliarello, Bruno Martins, Desmond Elliott |
| 2024 | Natural Language-based State Representation in Deep Reinforcement Learning. | Md Masudur Rahman, Yexiang Xue |
| 2024 | mEdIT: Multilingual Text Editing via Instruction Tuning. | Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni, Bashar Alhafni, Dhruv Kumar |
| 2024 | ContraSim - Analyzing Neural Representations Based on Contrastive Learning. | Adir Rahamim, Yonatan Belinkov |
| 2024 | Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection. | Mohammed Ataaur Rahaman, Julia Ive |
| 2024 | Visually-Aware Context Modeling for News Image Captioning. | Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens |
| 2024 | Embodied Executable Policy Learning with Language-based Scene Summarization. | Jielin Qiu, Mengdi Xu, William Han, Seungwhan Moon, Ding Zhao |
| 2024 | AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation. | Haoyi Qiu, Kung-Hsiang Huang, Jingnong Qu, Nanyun Peng |
| 2024 | Unlocking Emergent Modularity in Large Language Models. | Zihan Qiu, Zeyu Huang, Jie Fu |
| 2024 | Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation. | Yifu Qiu, Varun Embar, Shay B. Cohen, Benjamin Han |
| 2024 | Are Large Language Model Temporally Grounded? | Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo Maria Ponti, Shay B. Cohen |
| 2024 | Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. | Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky |
| 2024 | Lifelong Event Detection with Embedding Space Separation and Compaction. | Chengwei Qin, Ruirui Chen, Ruochen Zhao, Wenhan Xia, Shafiq Joty |
| 2024 | COMEM: In-Context Retrieval-Augmented Mass-Editing Memory in Large Language Models. | Shanbao Qiao, Xuebing Liu, Seung-Hoon Na |
| 2024 | Making Language Models Better Tool Learners with Execution Feedback. | Shuofei Qiao, Honghao Gui, Chengfei Lv, Qianghuai Jia, Huajun Chen, Ningyu Zhang |
| 2024 | Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model. | Cheng Qian, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu |