| 2026 | SPASM: Stable Persona-driven Agent Simulation for Multi-turn Dialogue Generation. | Han Luo, Guy Laban |
| 2026 | Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models. | Zheng Luo, Thirulogasankar Pranav Kutralingam, Ogochukwu N. Okoani, Wanpeng Xu, Hua Wei, Xiyang Hu |
| 2026 | Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language Models. | Zhiwen Luo, Siyu Jiang, Weilong Jiang, Kun He |
| 2026 | HTMR: Hybrid Token Masking Reinforcement Learning with Verifiable Rewards for Event Argument Extraction with Multi-Perspective Reasoning. | Jianwen Luo, Yongkang Jin, Yu Hong, Jianmin Yao |
| 2026 | ChildEval: WHEN LARGE LANGUAGE MODELS MEET CHILDREN'S PERSONALITIES. | Yanyan Luo, Xue Han, Chunxu Zhao, Ruiqiao Bai, Yaxing Zhang, Qian Hu, Lijun Mei, Junlan Feng |
| 2026 | Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented Generation. | Weiqing Luo, Zongye Hu, Xiao Wang, Zhiyuan Yu, Haofeng Zhang, Ziyi Huang |
| 2026 | O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning. | Haotian Luo, Haiying He, Yibo Wang, Shiwei Liu, Wei Li, Xiaochun Cao, Dacheng Tao, Naiqiang Tan, Li Shen |
| 2026 | AlphaQT-Bench: Diagnosing the Gap between Financial Code Generation and Quantitative Reasoning in LLMs. | Sichun Luo, Yi Huang, Shichang Meng, Fengyuan Liu, Mukai Li, Qinghua Yao, Zefa Hu, Junlan Feng, Qi Liu |
| 2026 | GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks. | Jianwen Luo, Yiming Huang, Jinxiang Meng, Fangyu Lei, Shizhu He, Xiao Liu, Shanshan Jiang, Bin Dong, Jun Zhao, Kang Liu |
| 2026 | Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and Benchmark. | Zihan Luo, Hong Huang, Jianxun Lian, Yu Chang, Xing Xie, Hai Jin |
| 2026 | LLMSurgeon: Diagnosing Data Mixture of Large Language Models. | Yaxin Luo, Jiacheng Cui, Xiaohan Zhao, Xinyi Shang, Jiacheng Liu, Xinyue Bi, Zhaoyi Li, Zhiqiang Shen |
| 2026 | AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models. | Feng Luo, Yu-Neng Chuang, Guanchu Wang, Hoang Anh Duy Le, Shaochen Zhong, Hongyi Liu, Jiayi Yuan, Yang Sui, Vladimir Braverman, Vipin Chaudhary, Xia Ben Hu |
| 2026 | Do LLMs Really Memorize Personally Identifiable Information? Revisiting PII Leakage with a Cue-Controlled Memorization Framework. | Xiaoyu Luo, Yiyi Chen, Qiongxiu Li, Johannes Bjerva |
| 2026 | ImCoref-CeS: An Improved Lightweight Pipeline for Coreference Resolution with LLM-based Checker-Splitter Refinement. | Kangyang Luo, Yuzhuo Bai, Shuzheng Si, Cheng Gao, Zhitong Wang, Yingli Shen, Wenhao Li, Zhu Liu, Yufeng Han, Jiayi Wu, Cunliang Kong, Maosong Sun |
| 2026 | Synergizing Stylometrics with Semantics: Dual-Path Framework for LLM Detection and Attribution. | Xingyu Lu, Yumeng Ma, Xiang Zhou, Shengli Gan, Guiying Deng, Yang Wen, Yanbing Liu |
| 2026 | EXCEEDS: Extracting Complex Events via Nugget-based Grid Modeling in Scientific Domain. | Yi-Fan Lu, Xian-Ling Mao, Bo Wang, Xiao Liu, Heyan Huang |
| 2026 | CHAIRO: Contextual Hierarchical Analogical Induction and Reasoning Optimization for LLMs. | Haotian Lu, Yuchen Mou, Bingzhe Wu |
| 2026 | On the Representation Geometry of LoRA Model Merging. | Chenyang Lu, Jiaru Li, Jinman Zhao, Xinran Chen, Yining Wang, Renyi Cai, Yuchen Li, Chao He |
| 2026 | Adam's Law: Textual Frequency Law on Large Language Models. | Hongyuan Lu, Zixuan Li, Zefan Zhang, Bowen Cao, Wai Lam |
| 2026 | One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction. | Yuxing Lu, Yushuhong Lin, Jason Zhang |
| 2026 | Structured Episodic Event Memory. | Zhengxuan Lu, Dongfang Li, Yukun Shi, Beilun Wang, Longyue Wang, Baotian Hu |
| 2026 | TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG. | Pengqian Lu, Jie Lu, Anjin Liu, Guangquan Zhang |
| 2026 | Can LLM Agents Simulate Multi-Turn Human Behavior? Evidence from Real Online Customer Behavior Data. | Yuxuan Lu, Jing Huang, Yan Han, Bingsheng Yao, Sisong Bei, Yaochen Xie, Yisi Sang, Qi He, Dakuo Wang |
| 2026 | The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check. | Qingyu Lu, Liang Ding, Kanjian Zhang, Jinxia Zhang, Dacheng Tao |
| 2026 | LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference Alignment. | Chenji Lu, Zhuo Chen, Hui Zhao, Zhiyuan Zeng, Gang Zhao, Junjie Ren, Haoran Li, Songyan Liu, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng |