| 2024 | xTower: A Multilingual LLM for Explaining and Correcting Translation Errors. | Marcos V. Treviso, Nuno Miguel Guerreiro, Sweta Agrawal, Ricardo Rei, Jos Pombal, Tnia Vaz, Helena Wu, Beatriz Silva, Daan van Stigt, Andr F. T. Martins |
| 2024 | Preserving Generalization of Language models in Few-shot Continual Relation Extraction. | Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh, Nam Le Hai, Trung Le, Linh Van Ngo, Thien Huu Nguyen |
| 2024 | Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology. | Son Tran, Matt Kretchmar |
| 2024 | STTATTS: Unified Speech-To-Text And Text-To-Speech Model. | Hawau Olamide Toyin, Hao Li, Hanan Aldarmaki |
| 2024 | Enhancing AI Assisted Writing with One-Shot Implicit Negative Feedback. | Benjamin Towle, Ke Zhou |
| 2024 | Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution. | Armin Toroghi, Willis Guo, Ali Pesaranghader, Scott Sanner |
| 2024 | Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering. | Armin Toroghi, Willis Guo, Mohammad Mahdi Abdollah Pour, Scott Sanner |
| 2024 | CodeJudge: Evaluating Code Generation with Large Language Models. | Weixi Tong, Tianyi Zhang |
| 2024 | Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks. | Terry Tong, Qin Liu, Jiashu Xu, Muhao Chen |
| 2024 | "Image, Tell me your story!" Predicting the original meta-context of visual misinformation. | Jonathan Tonglet, Marie-Francine Moens, Iryna Gurevych |
| 2024 | FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning. | Aaron Xuxiang Tian, Yi Zhao, Congrui Yin, Wei Zhu, Xing Tian, Yi Ge |
| 2024 | Augmenting Reasoning Capabilities of LLMs with Graph Structures in Knowledge Base Question Answering. | Yuhang Tian, Dandan Song, Zhijing Wu, Changzhi Zhou, Hao Wang, Jun Yang, Jing Xu, Ruanmin Cao, Haoyu Wang |
| 2024 | Detecting Machine-Generated Long-Form Content with Latent-Space Variables. | Yufei Tian, Zeyu Pan, Nanyun Peng |
| 2024 | To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models. | Bozhong Tian, Xiaozhuan Liang, Siyuan Cheng, Qingbin Liu, Mengru Wang, Dianbo Sui, Xi Chen, Huajun Chen, Ningyu Zhang |
| 2024 | Are Large Language Models Capable of Generating Human-Level Narratives? | Yufei Tian, Tenghao Huang, Miri Liu, Derek Jiang, Alexander Spangher, Muhao Chen, Jonathan May, Nanyun Peng |
| 2024 | A Generic Method for Fine-grained Category Discovery in Natural Language Texts. | Chang Tian, Matthew B. Blaschko, Wenpeng Yin, Mingzhe Xing, Yinliang Yue, Marie-Francine Moens |
| 2024 | Attacks against Abstractive Text Summarization Models through Lead Bias and Influence Functions. | Poojitha Thota, Shirin Nilizadeh |
| 2024 | Fast Streaming Transducer ASR Prototyping via Knowledge Distillation with Whisper. | Iuliia Thorbecke, Juan Pablo Zuluaga-Gomez, Esa Villatoro-Tello, Shashi Kumar, Pradeep Rangappa, Sergio Burdisso, Petr Motlcek, Karthik S, Aravind Ganapathiraju |
| 2024 | Llamipa: An Incremental Discourse Parser. | Kate Thompson, Akshay Chaturvedi, Julie Hunter, Nicholas Asher |
| 2024 | "I Never Said That": A dataset, taxonomy and baselines on response clarity classification. | Konstantinos Thomas, Giorgos Filandrianos, Maria Lymperaiou, Chrysoula Zerva, Giorgos Stamou |
| 2024 | Atomic Self-Consistency for Better Long Form Generations. | Raghuveer Thirukovalluru, Yukun Huang, Bhuwan Dhingra |
| 2024 | "Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation. | Nandan Thakur, Luiz Bonifacio, Xinyu Zhang, Odunayo Ogundepo, Ehsan Kamalloo, David Alfonso-Hermelo, Xiaoguang Li, Qun Liu, Boxing Chen, Mehdi Rezagholizadeh, Jimmy Lin |
| 2024 | AutoTrain: No-code training for state-of-the-art models. | Abhishek Thakur |
| 2024 | LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity. | Selim F. Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ling Liu |
| 2024 | Exploring Design Choices for Building Language-Specific LLMs. | Atula Tejaswi, Nilesh Gupta, Eunsol Choi |