| 2026 | LaCoMSA: Language-Consistency Multilingual Self-Alignment with Latent Representation Rewarding. | Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen |
| 2026 | VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation. | Hieu Tran, Phuong-Anh Nguyen-Le, Huy Nghiem, Quang-Nhan Nguyen, Wei Ai, Marine Carpuat |
| 2026 | ViGoEmotions: A Benchmark Dataset For Fine-grained Emotion Detection on Vietnamese Texts. | Quan Hung Tran, Pham Tien Nam, Son T. Luu, Kiet Van Nguyen |
| 2026 | DivMerge: A divergence-based model merging method for multi-tasking. | Brahim Touayouch, Loc Fosse, Graldine Damnati, Gwnol Lecorv |
| 2026 | Acceleration of Backpropagation in Linear Layers of Transformer Models Based on Gradient Structure. | Dmitrii Topchii, Alexander Panchenko, Viktoria Chekalina |
| 2026 | LLMs as Cultural Archives: Cultural Commonsense Knowledge Graph Extraction. | Junior Cedric Tonga, Chen Cecilia Liu, Iryna Gurevych, Fajri Koto |
| 2026 | FormGym: Doing Paperwork with Agents. | Matthew Toles, Isaac Song, Rattandeep Singh, Zhou Yu |
| 2026 | Representation Collapse in Machine Translation Through the Lens of Angular Dispersion. | Evgeniia Tokarchuk, Maya K. Nachesa, Sergey Troshin, Vlad Niculae |
| 2026 | ExpressivityBench: Can LLMs Communicate Implicitly? | Joshua Tint, Som Sagar, Aditya Taparia, Kelly Raines, Bimsara Pathiraja, Caleb Liu, Ransalu Senanayake |
| 2026 | MetaLead: A Comprehensive Human-Curated Leaderboard Dataset for Transparent Reporting of Machine Learning Experiments. | Roelien C. Timmer, Necva Blc, Stephen Wan |
| 2026 | Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model Transfer. | Pavel Tikhonov, Ivan V. Oseledets, Elena Tutubalina |
| 2026 | FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression. | Jiayi Tian, Ryan Solgi, Jinming Lu, Yifan Yang, Hai Li, Zheng Zhang |
| 2026 | ReAttn: Improving Attention-based Re-ranking via Attention Re-weighting. | Yuxing Tian, Fengran Mo, Weixu Zhang, Yiyan Qi, Jian-Yun Nie |
| 2026 | The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning. | Mingkai Tian, Guorong Li, Yuankai Qi, Anton van den Hengel, Qingming Huang |
| 2026 | STAMP: Selective Task-Aware Mechanism for Text Privacy. | Fengwei Tian, Payel Bhattacharjee, Heidi A. Hanson, Geoffrey D. Rubin, Joseph Y. Lo, Ravi Tandon |
| 2026 | Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs. | Rahul Thapa, Qingyang Wu, Kevin Wu, Harrison Zhang, Angela Zhang, Eric Wu, Haotian Ye, James Zou |
| 2026 | Mind the Gap: Benchmarking LLM Uncertainty and Calibration with Specialty-Aware Clinical QA and Reasoning-Based Behavioural Features. | Alberto Testoni, Iacer Calixto |
| 2026 | H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs. | Selim Furkan Tekin, Fatih Ilhan, Sihao Hu, Tiansheng Huang, Yichang Xu, Zachary Yahn, Ling Liu |
| 2026 | AGIC: Attention-Guided Image Captioning to Improve Caption Relevance. | Lekkala Sai Teja, Ashok Urlana, Pruthwik Mishra |
| 2026 | DAMASHA: Detecting AI in Mixed Adversarial Texts via Segmentation with Human-interpretable Attribution. | Lekkala Sai Teja, Siva Gopala Krishna Nuthakki, Ufaq Khan, Muhammad Haris Khan, Atul Mishra |
| 2026 | FAID: Fine-grained AI-generated Text Detection using Multi-task Auxiliary and Multi-level Contrastive Learning. | Minh Ngoc Ta, Dong Cao Van, Duc-Anh Hoang, Minh Le-Anh, Truong Nguyen, My Anh Tran Nguyen, Yuxia Wang, Preslav Nakov, Dinh Viet Sang |
| 2026 | BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language Models. | Bryan Chen Zhengyu Tan, Weihua Zheng, Zhengyuan Liu, Nancy F. Chen, Hwaran Lee, Kenny Tsu Wei Choo, Roy Ka-Wei Lee |
| 2026 | SciTrue: Evidence-Grounded Claim Verification in Science. | Neset Tan, Minghao Li, Mark Gahegan |
| 2026 | Specialization through Collaboration: Understanding Expert Interaction in Mixture-of-Expert Large Language Models. | Yuanbo Tang, Naifan Zhang, Yan Tang, Meixuan Chen, Shuhan Huang, Tingyu Cao, Yang Li |
| 2026 | Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of Table Question Answering. | Lei Tang, Wei Zhou, Mohsen Mesgar |