| 2026 | HiSA: Hierarchical State Abstraction for Scalable GUI Agents. | Weiming Li, Hye-young Paik, Yulei Sui |
| 2026 | Reason-Code: Reliable Code Generation via Test-Driven Monte Carlo Tree Search. | Zixu Li, Zhiqi Peng |
| 2026 | On the Continued Value of Universal Dependencies in the Era of Large Language Models. | Wenxi Li, Jingyu Peng |
| 2026 | GRASP: Graph-Reasoning Aided Survey Planning for High-Fidelity Related Work Generation. | Haoming Li, Jessica Ouyang |
| 2026 | RAVR: Reference-Answer-guided Variational Reasoning for Large Language Models. | Tianqianjin Lin, Xi Zhao, Xingyao Zhang, Rujiao Long, Yi Xu, Zhuoren Jiang, Wenbo Su, Bo Zheng |
| 2026 | VIGIL: Defending LLM Agents Against Tool-Stream Injection via Verify-Before-Commit. | Junda Lin, Zhaomeng Zhou, Zhi Zheng, Shuochen Liu, Tong Xu, Yong Chen, Enhong Chen |
| 2026 | Contract-Coding: Towards Repo-Level Generation via Structured Symbolic Paradigm. | Yi Lin, Lujin Zhao, Yijie Shi |
| 2026 | Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach. | Zhihao Lin, Ziqi Zhu, Hao Huang, Guanghui Wang, Peiyang He |
| 2026 | Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models. | Nianyi Lin, Jiajie Zhang, Lei Hou, Juanzi Li |
| 2026 | TLoRA: Task-aware Low Rank Adaptation of Large Language Models. | Weicheng Lin, Yi Zhang, Jiawei Dang, Liang-Jie Zhang |
| 2026 | Exploring the Capability Boundaries of LLMs in Mastering of Chinese Chouxiang Language. | Tian Lan Dianqing Lin, Jiang Li Jiali Zhu, Xu Liu Wei Chen, Xiangdong Su Aruukhan, Guanglai Gao Hongxu Hou |
| 2026 | MAC-Reasoner: A Multi-Agent Collaborative Framework for Enhancing Logical Reasoning in Large Language Models. | Yehua Lin, Liping Zheng, Yin Chen |
| 2026 | Expect the Unexpected? Testing the Surprisal of Salient Entities. | Jessica Lin, Amir Zeldes |
| 2026 | AgentAsk: Multi-Agent Systems Need to Ask. | Bohan Lin, Kuo Yang, Zelin Tan, Yingchuan Lai, Chen Zhang, Guibin Zhang, Xinlei Yu, Miao Yu, Xu Wang, Yu-Dong Zhang, Yang Wang |
| 2026 | N-GLARE: An Non-Generative Latent Representation-Efficient LLM Safety Evaluator. | Zheyu Lin, Jirui Yang, Yukui Qiu, Yubing Bao, Hengqi Guo, Yao Guan |
| 2026 | Enrich, Aggregate, and Generate: Three-stage Biomedical Data-to-Text Generation Using Large Language Models in Low-resource Scenarios. | Yupian Lin, Guangya Yu, Yuang Bian, Cheng Yuan, Hui Luo, Tong Ruan |
| 2026 | Backdoor Collapse: Eliminating Unknown Threats Via Known Backdoor Aggregation In Language Models. | Liang Lin, Miao Yu, Moayad Aloqaily, Zhenhong Zhou, Kun Wang, Linsey Pang, Prakhar Mehrotra, Qingsong Wen |
| 2026 | AutoFigure-Edit: Generating Editable Scientific Illustrations via Reference-Guided Styling. | Zhen Lin, Qiujie Xie, Minjun Zhu, Shichen Li, Qiyao Sun, Enhao Gu, Yiran Ding, Ke Sun, Fang Guo, Panzhong Lu, Zhiyuan Ning, Yixuan Weng, Yue Zhang |
| 2026 | Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning. | Zekai Lin, Chao Xue, Di Liang, Xingsheng Han, Peiyang Liu, Xianjie Wu, Lei Jiang, Yu Lu, Bob Simons, Shuang Liang, Minlong Peng |
| 2026 | Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via sequence-level likelihood. | Xingyu Lin, Yilin Wen, Du Su, En Wang, Wenbin Liu, Zhonghou Lv, Jinchang Hou, Chenfu Bao |
| 2026 | Where and What: Reasoning Dynamic and Implicit Preferences in Situated Conversational Recommendation. | Dongding Lin, Jian Wang, Yongqi Li, Wenjie Li |
| 2026 | ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling. | Jianghao Lin, Yuanyuan Shi, Xin Peng, Renjie Ding, Hairui Wang, Yuxuan Peng, Bizhe Bai, Weixi Song, Fengshuo Bai, Huacan Chai, Weinan Zhang, Fei Huang, Ying Wen |
| 2026 | LLM-MC-Affect: LLM-Based Monte Carlo Modeling of Affective Trajectories and Latent Ambiguity for Interpersonal Dynamic Insight. | Yu-Zheng Lin, Bono Po-Jen Shih, John Paul Martin Encinas, Elizabeth Victoria Abraham Achom, Karan Himanshu Patel, Jesus Horacio Pacheco, Sicong Shao, Jyotikrishna Dass, Soheil Salehi, Pratik Satam |
| 2026 | Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback. | Jiaye Lin, Mengdi Li, Xufeng Zhao, Wenhao Lu, Peilin Zhao, Stefan Wermter, Di Wang |
| 2026 | MPTc-Bench: Measuring Cross-market Generative Ability of Vision-Language Models via Movie Poster Transcreation. | Youyuan Lin, Yuan Li, Yahan Yu, Fei Cheng, Shin'ya Nishida, Chenhui Chu |