Pan Lu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
13
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | OctoTools: A Multi-Agent Framework with Extensible Tools for Complex Reasoning. | Pan Lu, Bowen Chen, Sheng Liu, Rahul Thapa, Joseph Boen, James Zou |
| 2026 | COMPSAC | TraceStructRepair: Effective Diagnostic Representation for Context-Limited Automated Program Repair. | Pan Lu, Dongcheng Li, W. Eric Wong |
| 2025 | CVPR | VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning. | Xueqing Wu, Yuheng Ding, Bingxuan Li, Pan Lu, Da Yin, Kai-Wei Chang, Nanyun Peng |
| 2025 | EMNLP | Protein Large Language Models: A Comprehensive Survey. | Yijia Xiao, Wanjia Zhao, Junkai Zhang, Yiqiao Jin, Han Zhang, Zhicheng Ren, Renliang Sun, Haixin Wang, Guancheng Wan, Pan Lu, Xiao Luo, Yu Zhang, James Zou, Yizhou Sun, Wei Wang |
| 2025 | ICLR | MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models. | Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou, Mohsen Fayyaz, Pan Lu, Kai-Wei Chang, Nanyun Peng |
| 2025 | ICLR | MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines. | Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanmin Wu, Jiayi Lei, Pengshuo Qiu, Pan Lu, Zehui Chen, Guanglu Song, Peng Gao, Yu Liu, Chunyuan Li, Hongsheng Li |
| 2025 | ICLR | ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning. | Xiangru Tang, Tianyu Hu, Muyang Ye, Yanjun Shao, Xunjian Yin, Siru Ouyang, Wangchunshu Zhou, Pan Lu, Zhuosheng Zhang, Yilun Zhao, Arman Cohan, Mark Gerstein |
| 2025 | ICLR | MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. | Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2024 | ACL | Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data. | Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng |
| 2024 | ECCV | MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? | Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Yu Qiao, Peng Gao, Hongsheng Li |
| 2024 | EMNLP | VDebugger: Harnessing Execution Feedback for Debugging Visual Programs. | Xueqing Wu, Zongyu Lin, Songyan Zhao, Te-Lin Wu, Pan Lu, Nanyun Peng, Kai-Wei Chang |
| 2024 | EMNLP | Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue. | Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, Pan Lu, Zhen-Hua Ling, Kai-Wei Chang, Nanyun Peng |
| 2024 | EMNLP | Multimodal Procedural Planning via Dual Text-Image Prompting. | Yujie Lu, Pan Lu, Zhiyu Chen, Wanrong Zhu, Xin Wang, William Yang Wang |
| 2024 | ICLR | MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. | Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao |
| 2024 | ICLR | LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention. | Renrui Zhang, Jiaming Han, Chris Liu, Aojun Zhou, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao |
| 2024 | ICML | SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. | Dongyang Liu, Renrui Zhang, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao |
| 2024 | ICML | SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. | Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang |
| 2023 | ACL | A Survey of Deep Learning for Mathematical Reasoning. | Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang |
| 2023 | EMNLP | TheoremQA: A Theorem-driven Question Answering Dataset. | Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, Tony Xia |
| 2023 | ICLR | Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. | Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan |
| 2022 | AAAI | ValueNet: A New Dataset for Human Value Driven Dialogue System. | Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, Song-Chun Zhu |
| 2022 | AAAI | Learning from the Tangram to Solve Mini Visual Tasks. | Yizhou Zhao, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu |
| 2022 | EMNLP | UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression. | Jiaqi Chen, Tong Li, Jinghui Qin, Pan Lu, Liang Lin, Chongyu Chen, Xiaodan Liang |
| 2022 | EMNLP | LILA: A Unified Benchmark for Mathematical Reasoning. | Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan |
| 2022 | SIGdial | Towards Socially Intelligent Agents with Mental State Transition and Human Value. | Liang Qiu, Yizhou Zhao, Yuan Liang, Pan Lu, Weiyan Shi, Zhou Yu, Song-Chun Zhu |
| 2021 | ACL | Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning. | Pan Lu, Ran Gong, Shibiao Jiang, Liang Qiu, Siyuan Huang, Xiaodan Liang, Song-Chun Zhu |
| 2021 | ACL | SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues. | Liang Qiu, Yuan Liang, Yizhou Zhao, Pan Lu, Baolin Peng, Zhou Yu, Ying Nian Wu, Song-Chun Zhu |
| 2020 | AAAI | Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption. | Wei Zhang, Yue Ying, Pan Lu, Hongyuan Zha |
| 2019 | CVPR | Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering. | Peng Gao, Zhengkai Jiang, Haoxuan You, Pan Lu, Steven C. H. Hoi, Xiaogang Wang, Hongsheng Li |
| 2019 | ICDE | Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction. | Ning Liu, Pan Lu, Wei Zhang, Jianyong Wang |
| 2019 | IJCAI | Knowledge Aware Semantic Concept Expansion for Image-Text Matching. | Botian Shi, Lei Ji, Pan Lu, Zhendong Niu, Nan Duan |
| 2019 | PAKDD | A Novel Hybrid Sequential Model for Review-Based Rating Prediction. | Yuanquan Lu, Wei Zhang, Pan Lu, Jianyong Wang |
| 2018 | AAAI | Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering. | Pan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang |
| 2018 | ECCV | Question-Guided Hybrid Convolution for Visual Question Answering. | Peng Gao, Hongsheng Li, Shuang Li, Pan Lu, Yikang Li, Steven C. H. Hoi, Xiaogang Wang |
| 2018 | KDD | R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering. | Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, Jianyong Wang |