| 2026 | AAAI | Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design. | Junhua Liu, Fanfan Lin, Xinze Li, Shuai Zhao, Kwan Hui Lim |
| 2026 | ACL | Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization. | Shaohua Duan, Pengcheng Huang, Xinze Li, Zhenghao Liu, Xiaoyuan Yi, Yukun Yan, Shuo Wang, Yu Gu, Ge Yu, Maosong Sun |
| 2026 | ACL | Long-Chain Reasoning Distillation via Adaptive Prefix Alignment. | Zhenghao Liu, Zhuoyang Wu, Xinze Li, Yukun Yan, Shuo Wang, Zulong Chen, Yu Gu, Ge Yu, Maosong Sun |
| 2026 | ACL | Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection. | Zhuoyang Wu, Xinze Li, Zhenghao Liu, Yukun Yan, Zhiyuan Liu, Minghe Yu, Cheng Yang, Yu Gu, Ge Yu, Maosong Sun |
| 2026 | ACL | MetaMem: Evolving Meta-Memory for Knowledge Utilization through Self-Reflective Symbolic Optimization. | Haidong Xin, Xinze Li, Zhenghao Liu, Yukun Yan, Shuo Wang, Cheng Yang, Yu Gu, Ge Yu, Maosong Sun |
| 2026 | DASFAA | HIPPO: Enhancing the Table Understanding Capability of LLMs Through Hybrid-Modal Preference Optimization. | Haolan Wang, Zhenghao Liu, Xinze Li, Xiaocui Yang, Yu Gu, Yukun Yan, Qi Shi, Fangfang Li, Chong Chen, Ge Yu |
| 2025 | ACL | Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models. | Shuliang Liu, Xinze Li, Zhenghao Liu, Yukun Yan, Cheng Yang, Zheni Zeng, Zhiyuan Liu, Maosong Sun, Ge Yu |
| 2025 | ACL | RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts. | Mingyan Wu, Zhenghao Liu, Yukun Yan, Xinze Li, Shi Yu, Zheni Zeng, Yu Gu, Ge Yu |
| 2025 | DASFAA | Unsupervised Fact Error Correction Modeling by Using Span-Level Contrastive Learning. | Yuqing Lan, Zhenghao Liu, Yu Gu, Xinze Li, Ge Yu |
| 2025 | EMNLP | ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation. | Hao Chen, Yukun Yan, Sen Mei, Wanxiang Che, Zhenghao Liu, Qi Shi, Xinze Li, Yuchun Fan, Pengcheng Huang, Qiushi Xiong, Zhiyuan Liu, Maosong Sun |
| 2025 | EMNLP | ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization. | Zhensheng Jin, Xinze Li, Yifan Ji, Chunyi Peng, Zhenghao Liu, Qi Shi, Yukun Yan, Shuo Wang, Furong Peng, Ge Yu |
| 2025 | ICLR | RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards. | Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong |
| 2025 | IECON | Data-Driven Optimization for Neutral-Point-Clamped Dual-Active-Bridge Converter with Zero-Voltage-Zero-Current Switching. | Jiaxin Dong, Xinze Li, Dhivya Sampath Kumar, Sivaneasan Bala Krishnan, Josep Pou, Anurag Sharma |
| 2025 | NAACL | COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis. | Weiqing Yang, Hanbin Wang, Zhenghao Liu, Xinze Li, Yukun Yan, Shuo Wang, Yu Gu, Minghe Yu, Zhiyuan Liu, Ge Yu |
| 2025 | VTC | Adaptive Sampling for Fingerprinting Localization. | Xinze Li, Hanan Al-Tous, Olav Tirkkonen |
| 2025 | WCNC | Metric Learning Based Positioning. | Santeri Kokkonen, Xinze Li, Ashvin Srinivasan, Hanan Al-Tous, Olav Tirkkonen |
| 2025 | SIGIR | Long Context vs. RAG: Strategies for Processing Long Documents in LLMs. | Xinze Li, Yushi Bai, Bowen Jin, Fengbin Zhu, Liangming Pan, Yixin Cao |
| 2024 | ACL | Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. | Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty |
| 2024 | ACL | Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. | Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun |
| 2024 | ACL | MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin. | Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu |
| 2024 | ICSE | An Empirical Study on Low GPU Utilization of Deep Learning Jobs. | Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang |
| 2024 | VTC | Enhanced Weighted K-Nearest Neighbor Positioning. | Xinze Li, Hanan Al-Tous, Salah Eddine Hajri, Olav Tirkkonen |
| 2024 | VTC | Channel Covariance based Fingerprint Localization. | Xinze Li, Hanan Al-Tous, Salah Eddine Hajri, Olav Tirkkonen |
| 2023 | ACL | Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation. | Xinze Li, Yixin Cao, Muhao Chen, Aixin Sun |
| 2023 | ACL | Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data. | Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu |
| 2023 | IECON | Switching Characteristics Analysis for Hybrid Neutral Point Clamped Dual Active Bridge with Hybrid Duty Ratio Phase-Shift Modulation. | Jiaxin Dong, Josep Pou, Xinze Li, Yu Zeng, Janardhana Kotturu, Marco Cupelli, Amit Kumar Gupta |
| 2023 | VTC | Covariance Difference of Arrival based Fingerprinting Localization. | Xinze Li, Hanan Al-Tous, Salah Eddine Hajri, Olav Tirkkonen |
| 2022 | ACL | MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities. | Yubo Ma, Zehao Wang, Mukai Li, Yixin Cao, Meiqi Chen, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao |
| 2020 | IECON | Swarm Intelligence Aided Parameter Design for the Symmetrical CLLC-Type DAB Converter with Robust Voltage Conversion Gain. | Fanfan Lin, Xin Zhang, Xinze Li |
| 2020 | IECON | Design of LC Filter for Boost Converter with the Considerations of Efficiency and Power Density. | Xinze Li, Xin Zhang, Fanfan Lin |