| 2026 | CONGRAD: Conflicting Gradient Filtering for Multilingual Preference Alignment. | Jiangnan Li, Thuy-Trang Vu, Christian Herold, Amirhossein Tebbifakhr, Shahram Khadivi, Gholamreza Haffari |
| 2026 | Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations. | Zijie Liu, Xinyu Zhao, Jie Peng, Jinhao Duan, Zhuangdi Zhu, Qingyu Chen, Kaidi Xu, Xia Hu, Tianlong Chen |
| 2026 | LM-Lexicon: Improving Definition Modeling via Harmonizing Semantic Experts. | Yang Liu, Jiaye Yang, Weikang Li, Jiahui Liang, Yang Li, Lingyong Yan |
| 2026 | Taming Object Hallucinations with Verified Atomic Confidence Estimation. | Jiarui Liu, Weihao Xuan, Zhijing Jin, Mona T. Diab |
| 2026 | ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models. | Yachuan Liu, Xiaochun Wei, Lin Shi, Xinnuo Li, Bohan Zhang, Paramveer Dhillon, Qiaozhu Mei |
| 2026 | No Label? No Problem: Unsupervised Continual Learning for Adaptive Medical ASR. | Meizhu Liu, Tao Sheng |
| 2026 | Better Generalizing to Unseen Concepts: An Evaluation Framework and An LLM-Based Auto-Labeled Pipeline for Biomedical Concept Recognition. | Shanshan Liu, Noriki Nishida, Fei Cheng, Narumi Tokunaga, Rumana Ferdous Munne, Yuki Yamagata, Kouji Kozaki, Takehito Utsuro, Yuji Matsumoto |
| 2026 | Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules. | Yilun Liu, Yunpu Ma, Yuetian Lu, Shuo Chen, Zifeng Ding, Volker Tresp |
| 2026 | InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection. | Yuhang Liu, Pengxiang Li, Zishu Wei, Congkai Xie, Xueyu Hu, Xinchen Xu, Shengyu Zhang, Xiaotian Han, Hongxia Yang, Fei Wu |
| 2026 | Synthetic Doctor-Patient Dialogue Generation for Robust Medical ASR: A Scalable Pipeline for Vocabulary Expansion and Privacy Preservation. | Kefei Liu, Meizhu Liu |
| 2026 | Intention-Adaptive LLM Fine-Tuning for Text Revision Generation. | Zhexiong Liu, Diane J. Litman |
| 2026 | Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs. | Honghao Liu, Xuhui Jiang, Chengjin Xu, Cehao Yang, Yiran Cheng, Lionel Ni, Jian Guo |
| 2026 | Aggregating Crowd of LLMs for Cost-Effective Data Annotation. | Jiacheng Liu, Xiaofeng Hou |
| 2026 | A Review of Incorporating Psychological Theories in LLMs. | Zizhou Liu, Ziwei Gong, Lin Ai, Zheng Hui, Run Chen, Colin Wayne Leach, Michelle R. Greene, Julia Hirschberg |
| 2026 | Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives. | Yajiao Liu, Congliang Chen, Junchi Yang, Ruoyu Sun |
| 2026 | Unlocking Large Audio-Language Models for Interactive Language Learning. | Hongfu Liu, Zhouying Cui, Xiangming Gu, Ye Wang |
| 2026 | CLEAR-3K: Assessing Causal Explanatory Capabilities in Language Models. | Naiming Liu, Richard G. Baraniuk, Shashank Sonkar |
| 2026 | Tailored Emotional LLM-Supporter: Enhancing Cultural Sensitivity. | Chen Cecilia Liu, Hiba Arnaout, Nils Kovacic, Dana Atzil-Slonim, Iryna Gurevych |
| 2026 | Evaluation and LLM-Guided Learning of ICD Coding Rationales. | Mingyang Li, Viktor Schlegel, Tingting Mu, Wuraola Oyewusi, Kai Kang, Goran Nenadic |
| 2026 | Evaluating Adversarial Robustness of Concept Representations in Sparse Autoencoders. | Aaron J. Li, Suraj Srinivas, Usha Bhalla, Himabindu Lakkaraju |
| 2026 | WebNovelBench: Placing LLM Novelists on the Web Novel Distribution. | Liangtao Lin, Jun Zheng, Haidong Wang |
| 2026 | LogToP: Logic Tree-of-Program with Table Instruction-tuned LLMs for Controlled Logical Table-to-Text Generation. | Yupian Lin, Guangya Yu, Cheng Yuan, Huan Du, Hui Luo, Yuang Bian, Jingping Liu, Zhidong He, Wen Du, Tong Ruan |
| 2026 | Surprisal from Larger Transformer-based Language Models Predicts fMRI Data More Poorly. | Yi-Chien Lin, William Schuler |
| 2026 | ShopperBench: A Benchmark for Personalized Shopping with Persona-Guided Simulation. | Yuan Ling, Chunqing Yuan, Shujing Dong, Yongjian Yang, Nataraj Mocherla, Ayush Goyal |
| 2026 | The Correlation Between Emotion in Text and Speech Segments is Limited: A Cross-Modal Study. | David Lindevelt, Suzan Verberne, Joost Broekens |