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2020 – today
- 2026
[j4]Chuanhao Yan, Fengdi Che, Xuhan Huang, Xu Xu, Xin Li, Yizhi LI, Xingwei Qu, Jingzhe Shi, Chenghua Lin, Yaodong Yang, Binhang Yuan, Hang Zhao, Yu Qiao, Bowen Zhou, Jie Fu:
Re:Form - Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny. Trans. Mach. Learn. Res. 2026 (2026)- [c18]Siwei Wu
, King Zhu, Yu Bai, Yiming Liang, Yizhi Li, Haoning Wu, Jiaheng Liu, Ruibo Liu, Xingwei Qu, Xuxin Cheng, Ge Zhang, Wenhao Huang, Chenghua Lin:
MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models. EACL (Findings) 2026: 5405-5419 - [c17]Siwei Wu, JinCheng Ren, Xeron Du, Shuyue Guo, Xingwei Qu, Yiming Liang, Jie Liu, Yunwen Li, Tyler Loakman, Tianyu Zheng, Boyu Feng, Huaqing Yuan, Zili Wang, Jiaheng Liu, Wenhao Huang, Chenglin Cai, Haoran Que, Jian Yang, Yuelin Bai, Zekun Moore Wang, Zhouliang Yu, Qunshu Lin, Ding Pan, Yuchen Eleanor Jiang, Tiannan Wang, Wangchunshu Zhou, Shenzhi Wang, Xingyuan Bu, Minghao Liu, Guoyin Wang, Ge Zhang, Chenghua Lin:
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values. EACL (Findings) 2026: 5420-5447 - [i42]Zihao Huang, Jundong Zhou, Xingwei Qu, Qiyang Min, Ge Zhang:
ConceptMoE: Adaptive Token-to-Concept Compression for Implicit Compute Allocation. CoRR abs/2601.21420 (2026) - 2025
- [j3]Qi Wu, Xieyuanli Chen, Xiangyu Xu, Xinliang Zhong, Xingwei Qu, Songpengcheng Xia, Guoqing Liu, Liu Liu, Wenxian Yu, Ling Pei:
UA-LIO: An Uncertainty-Aware LiDAR-Inertial Odometry for Autonomous Driving in Urban Environments. IEEE Trans. Instrum. Meas. 74: 1-12 (2025) - [c16]King Zhu, Qianbo Zang, Shian Jia, Siwei Wu, Feiteng Fang, Yizhi Li, Shuyue Guo, Tianyu Zheng, Jiawei Guo, Bo Li, Haoning Wu, Xingwei Qu, Jian Yang, Ruibo Liu, Xiang Yue, Jiaheng Liu, Chenghua Lin, Hamid Alinejad-Rokny, Min Yang, Shiwen Ni, Wenhao Huang, Ge Zhang:
LIME: Less Is More for MLLM Evaluation. ACL (Findings) 2025: 9086-9121 - [c15]Chenhao Zhang, Xi Feng, Yuelin Bai, Xeron Du, Jinchang Hou, Kaixin Deng, Guangzeng Han, Qinrui Li, Bingli Wang, Jiaheng Liu, Xingwei Qu, Yifei Zhang, Qixuan Zhao, Yiming Liang, Ziqiang Liu, Feiteng Fang, Min Yang, Wenhao Huang, Chenghua Lin, Ge Zhang, Shiwen Ni:
Can MLLMs Understand the Deep Implication Behind Chinese Images? ACL (1) 2025: 14369-14402 - [c14]Kaijing Ma, Xeron Du, Yunran Wang, Haoran Zhang, Zhoufutu Wen, Xingwei Qu, Jian Yang, Jiaheng Liu, Minghao Liu, Xiang Yue, Wenhao Huang, Ge Zhang:
KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks. ICLR 2025 - [c13]Xingwei Qu, Yuelin Bai, Yinghao Ma, Ziya Zhou, Ka Man Lo, Jiaheng Liu, Ruibin Yuan, Lejun Min, Xueling Liu, Tianyu Zhang, Xeron Du, Shuyue Guo, Yiming Liang, Yizhi Li, Shangda Wu, Junting Zhou, Tianyu Zheng, Ziyang Ma, Fengze Han, Wei Xue, Gus Xia, Emmanouil Benetos, Xiang Yue, Chenghua Lin, Xu Tan, Wenhao Huang, Jie Fu, Ge Zhang:
MuPT: A Generative Symbolic Music Pretrained Transformer. ICLR 2025 - [c12]Yuyang Cheng, Xingwei Qu, Tomas Goldsack, Chenghua Lin, Chung-Chi Chen:
Observing Micromotives and Macrobehavior of Large Language Models. IJCNLP-AACL (long papers) 2025: 1258-1276 - [c11]Zihao Wang, Ruibin Yuan, Ziqi Geng, Hengjia Li, Xingwei Qu, Xinyi Li, Songye Chen, Haoying Fu, Roger B. Dannenberg, Kejun Zhang:
Singing Timbre Popularity Assessment Based on Multimodal Large Foundation Model. ACM Multimedia 2025: 12227-12236 - [c10]Jianyu Liu, Hangyu Guo, Ranjie Duan, Xingyuan Bu, Yancheng He, Shilong Li, Hui Huang, Jiaheng Liu, Yucheng Wang, Chenchen Jing, Xingwei Qu, Xiao Zhang, Pei Wang, Yanan Wu, Jihao Gu, Yangguang Li, Jianke Zhu:
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models. NAACL (Long Papers) 2025: 12097-12118 - [c9]Yizhi Li, Ge Zhang, Yinghao Ma, Ruibin Yuan, Kang Zhu, Hangyu Guo, Yiming Liang, Jiaheng Liu, Noah Wang, Jian Yang, Siwei Wu, Xingwei Qu, Jinjie Shi, Xinyue Zhang, Zhenzhu Yang, Yidan Wen, Yanghai Wang, Shihao Li, Zhao-Xiang Zhang, Ruibo Liu, Emmanouil Benetos, Wenhao Huang, Chenghua Lin:
OmniBench: Towards The Future of Universal Omni-Language Models. NeurIPS 2025 - [i41]Yiming Liang, Tianyu Zheng, Xinrun Du, Ge Zhang, Jiaheng Liu, Xingwei Qu, Wenqiang Zu, Xingrun Xing, Chujie Zheng, Lei Ma, Wenhu Chen, Guoyin Wang, Zhaoxiang Zhang, Wenhao Huang, Xiang Yue, Jiajun Zhang:
Aligning Instruction Tuning with Pre-training. CoRR abs/2501.09368 (2025) - [i40]Siwei Wu, Yizhi Li, Xingwei Qu, Rishi Ravikumar, Yucheng Li, Tyler Loakman, Shanghaoran Quan, Xiaoyong Wei, Riza Batista-Navarro, Chenghua Lin:
LongEval: A Comprehensive Analysis of Long-Text Generation Through a Plan-based Paradigm. CoRR abs/2502.19103 (2025) - [i39]Ruibin Yuan, Hanfeng Lin, Shuyue Guo, Ge Zhang, Jiahao Pan, Yongyi Zang, Haohe Liu, Yiming Liang, Wenye Ma, Xingjian Du, Xinrun Du, Zhen Ye, Tianyu Zheng, Yinghao Ma, Minghao Liu, Zeyue Tian, Ziya Zhou, Liumeng Xue, Xingwei Qu, Yizhi Li, Shangda Wu, Tianhao Shen, Ziyang Ma, Jun Zhan, Chunhui Wang, Yatian Wang, Xiaowei Chi, Xinyue Zhang, Zhenzhu Yang, Xiangzhou Wang, Shansong Liu, Lingrui Mei, Peng Li, Junjie Wang, Jianwei Yu, Guojian Pang, Xu Li, Zihao Wang, Xiaohuan Zhou, Lijun Yu, Emmanouil Benetos, Yong Chen, Chenghua Lin, Xie Chen, Gus Xia, Zhaoxiang Zhang, Chao Zhang, Wenhu Chen, Xinyu Zhou, Xipeng Qiu, Roger B. Dannenberg, Zheng-Jia Liu, Jian Yang, Wenhao Huang, Wei Xue, Xu Tan, Yike Guo:
YuE: Scaling Open Foundation Models for Long-Form Music Generation. CoRR abs/2503.08638 (2025) - [i38]Jiazhan Feng, Shijue Huang, Xingwei Qu, Ge Zhang, Yujia Qin, Baoquan Zhong, Chengquan Jiang, Jinxin Chi, Wanjun Zhong:
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs. CoRR abs/2504.11536 (2025) - [i37]Jianyu Liu, Hangyu Guo, Ranjie Duan, Xingyuan Bu, Yancheng He, Shilong Li, Hui Huang, Jiaheng Liu, Yucheng Wang, Chenchen Jing, Xingwei Qu, Xiao Zhang, Yingshui Tan, Yanan Wu, Jihao Gu, Yangguang Li, Jianke Zhu:
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models. CoRR abs/2504.18053 (2025) - [i36]Ruijie Zhu, Tianhao Peng, Tianhao Cheng, Xingwei Qu, Jinfa Huang, Dawei Zhu, Hao Wang, Kaiwen Xue, Xuanliang Zhang, Yong Shan, Tianle Cai, Taylor Kergan, Assel Kembay, Andrew Smith, Chenghua Lin, Binh Nguyen, Yuqi Pan, Yuhong Chou, Zefan Cai, Zhenhe Wu, Yongchi Zhao, Tianyu Liu, Jian Yang, Wangchunshu Zhou, Chujie Zheng, Chongxuan Li, Yuyin Zhou, Zhoujun Li, Zhaoxiang Zhang, Jiaheng Liu, Ge Zhang, Wenhao Huang, Jason Eshraghian:
A Survey on Latent Reasoning. CoRR abs/2507.06203 (2025) - [i35]Tianyu Zheng, Tianshun Xing, Qingshui Gu, Taoran Liang, Xingwei Qu, Xin Zhou, Yizhi Li, Zhoufutu Wen, Chenghua Lin, Wenhao Huang, Qian Liu, Ge Zhang, Zejun Ma:
First Return, Entropy-Eliciting Explore. CoRR abs/2507.07017 (2025) - [i34]Chuanhao Yan, Fengdi Che, Xuhan Huang, Xu Xu, Xin Li, Yizhi Li, Xingwei Qu, Jingzhe Shi, Zhuangzhuang He, Chenghua Lin, Yaodong Yang, Binhang Yuan, Hang Zhao, Yu Qiao, Bowen Zhou, Jie Fu:
Re:Form - Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny. CoRR abs/2507.16331 (2025) - [i33]Yuxuan Song, Zheng Zhang, Cheng Luo, Pengyang Gao, Fan Xia, Hao Luo, Zheng Li, Yuehang Yang, Hongli Yu, Xingwei Qu, Yuwei Fu, Jing Su, Ge Zhang, Wenhao Huang, Mingxuan Wang, Lin Yan, Xiaoying Jia, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Yonghui Wu, Hao Zhou:
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference. CoRR abs/2508.02193 (2025) - [i32]Yizhi Li, Qingshui Gu, Zhoufutu Wen, Ziniu Li, Tianshun Xing, Shuyue Guo, Tianyu Zheng, Xin Zhou, Xingwei Qu, Wangchunshu Zhou, Zheng Zhang, Wei Shen, Qian Liu, Chenghua Lin, Jian Yang, Ge Zhang, Wenhao Huang:
TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling. CoRR abs/2508.17445 (2025) - [i31]Xu Xu, Xin Li, Xingwei Qu, Jie Fu, Binhang Yuan:
Local Success Does Not Compose: Benchmarking Large Language Models for Compositional Formal Verification. CoRR abs/2509.23061 (2025) - [i30]Ziyan Wang, Zheng Wang, Jie Fu, Xingwei Qu, Qi Cheng, Shengpu Tang, Minjia Zhang, Xiaoming Huo:
Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning. CoRR abs/2510.04072 (2025) - [i29]Shuangshuang Ying, Yunwen Li, Xingwei Qu, Xin Li, Sheng Jin, Minghao Liu, Zhoufutu Wen, Xeron Du, Tianyu Zheng, Yichi Zhang, Letian Ni, Yuyang Cheng, Qiguang Chen, Jingzhe Ding, Shengda Long, Wangchunshu Zhou, Jiazhan Feng, Wanjun Zhong, Libo Qin, Ge Zhang, Wenhao Huang, Wanxiang Che, Chenghua Lin:
Beyond Correctness: Evaluating Subjective Writing Preferences Across Cultures. CoRR abs/2510.14616 (2025) - [i28]Yunwen Li, Shuangshuang Ying, Xingwei Qu, Xin Li, Sheng Jin, Minghao Liu, Zhoufutu Wen, Tianyu Zheng, Xeron Du, Qiguang Chen, Jiajun Shi, Wangchunshu Zhou, Jiazhan Feng, Wanjun Zhong, Libo Qin, Stephen Huang, Wanxiang Che, Chenghua Lin, Eli Zhang:
COIG-Writer: A High-Quality Dataset for Chinese Creative Writing with Thought Processes. CoRR abs/2510.14763 (2025) - [i27]Rui-Jie Zhu, Zixuan Wang, Kai Hua, Tianyu Zhang, Ziniu Li, Haoran Que, Boyi Wei, Zixin Wen, Fan Yin, He Xing, Lu Li, Jiajun Shi, Kaijing Ma, Shanda Li, Taylor Kergan, Andrew Smith, Xingwei Qu, Mude Hui, Bohong Wu, Qiyang Min, Hongzhi Huang, Xun Zhou, Wei Ye, Jiaheng Liu, Jian Yang, Yunfeng Shi, Chenghua Lin, Enduo Zhao, Tianle Cai, Ge Zhang, Wenhao Huang, Yoshua Bengio, Jason Eshraghian:
Scaling Latent Reasoning via Looped Language Models. CoRR abs/2510.25741 (2025) - [i26]Zihao Wang, Ruibin Yuan, Ziqi Geng, Hengjia Li, Xingwei Qu, Xinyi Li, Songye Chen, Haoying Fu, Roger B. Dannenberg, Kejun Zhang:
Singing Timbre Popularity Assessment Based on Multimodal Large Foundation Model. CoRR abs/2512.06999 (2025) - [i25]Zihao Wang, Ruibin Yuan, Ziqi Geng, Hengjia Li, Xingwei Qu, Xinyi Li, Songye Chen, Haoying Fu, Roger B. Dannenberg, Kejun Zhang:
Multi-Accent Mandarin Dry-Vocal Singing Dataset: Benchmark for Singing Accent Recognition. CoRR abs/2512.07005 (2025) - [i24]Xingwei Qu, Shaowen Wang, Zihao Huang, Kai Hua, Fan Yin, Rui-Jie Zhu, Jundong Zhou, Qiyang Min, Zihao Wang, Yizhi Li, Tianyu Zhang, He Xing, Zheng Zhang, Yuxuan Song, Tianyu Zheng, Zhiyuan Zeng, Chenghua Lin, Ge Zhang, Wenhao Huang:
Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space. CoRR abs/2512.24617 (2025) - 2024
- [c8]Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Noah Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Wenhao Huang, Chenghua Lin, Jie Fu:
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. ACL (Findings) 2024: 12431-12446 - [c7]Yujie Shao, Xinrong Yao, Xingwei Qu, Chenghua Lin, Shi Wang, Wenhao Huang, Ge Zhang, Jie Fu:
CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation. LREC/COLING 2024: 3357-3366 - [c6]Tianyu Zheng, Ge Zhang, Xingwei Qu, Ming Kuang, Wenhao Huang, Zhaofeng He:
MORE-3S: Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces. LREC/COLING 2024: 11593-11604 - [c5]Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng:
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models. EMNLP (Findings) 2024: 12758-12786 - [c4]Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen:
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning. ICLR 2024 - [c3]Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, Zhiqi Bai, Jiakai Wang, Yuanxing Zhang, Xu Tan, Jie Fu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng:
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models. NeurIPS 2024 - [c2]Xingwei Qu, Ge Zhang, Siwei Wu, Yizhi Li, Chenghua Lin:
Overview of the NLPCC 2024 Shared Task on Chinese Metaphor Generation. NLPCC (5) 2024: 181-192 - [i23]Tianyu Zheng, Shuyue Guo, Xingwei Qu, Jiawei Guo, Weixu Zhang, Xinrun Du, Chenghua Lin, Wenhao Huang, Wenhu Chen, Jie Fu, Ge Zhang:
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation. CoRR abs/2401.06477 (2024) - [i22]Ge Zhang, Xinrun Du, Bei Chen, Yiming Liang, Tongxu Luo, Tianyu Zheng, Kang Zhu, Yuyang Cheng, Chunpu Xu, Shuyue Guo, Haoran Zhang, Xingwei Qu, Junjie Wang, Ruibin Yuan, Yizhi Li, Zekun Wang, Yudong Liu, Yu-Hsuan Tsai, Fengji Zhang, Chenghua Lin, Wenhao Huang, Wenhu Chen, Jie Fu:
CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark. CoRR abs/2401.11944 (2024) - [i21]Tianyu Zheng, Ge Zhang, Xingwei Qu, Ming Kuang, Stephen W. Huang, Zhaofeng He:
MORE-3S: Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces. CoRR abs/2402.12845 (2024) - [i20]Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Zekun Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Stephen W. Huang, Chenghua Lin, Wenhu Chen, Jie Fu:
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. CoRR abs/2402.13109 (2024) - [i19]Yujie Shao, Xinrong Yao, Xingwei Qu, Chenghua Lin, Shi Wang, Stephen W. Huang, Ge Zhang, Jie Fu:
CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation. CoRR abs/2402.13145 (2024) - [i18]Xingwei Qu, Yiming Liang, Yucheng Wang, Tianyu Zheng, Tommy Yue, Lei Ma, Stephen W. Huang, Jiajun Zhang, Wenhu Chen, Chenghua Lin, Jie Fu, Ge Zhang:
DEEP-ICL: Definition-Enriched Experts for Language Model In-Context Learning. CoRR abs/2403.04233 (2024) - [i17]Chen Yang, Junzhuo Li, Xinyao Niu, Xinrun Du, Songyang Gao, Haoran Zhang, Zhaoliang Chen, Xingwei Qu, Ruibin Yuan, Yizhi Li, Jiaheng Liu, Stephen W. Huang, Shawn Yue, Wenhu Chen, Jie Fu, Ge Zhang:
The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis. CoRR abs/2404.01204 (2024) - [i16]Jiawei Guo, Ziming Li, Xueling Liu, Kaijing Ma, Tianyu Zheng, Zhouliang Yu, Ding Pan, Yizhi Li, Ruibo Liu, Yue Wang, Shuyue Guo, Xingwei Qu, Xiang Yue, Ge Zhang, Wenhu Chen, Jie Fu:
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models. CoRR abs/2404.03543 (2024) - [i15]Xinrun Du, Zhouliang Yu, Songyang Gao, Ding Pan, Yuyang Cheng, Ziyang Ma, Ruibin Yuan, Xingwei Qu, Jiaheng Liu, Tianyu Zheng, Xinchen Luo, Guorui Zhou, Binhang Yuan, Wenhu Chen, Jie Fu, Ge Zhang:
Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model. CoRR abs/2404.04167 (2024) - [i14]Xingwei Qu, Yuelin Bai, Yinghao Ma, Ziya Zhou, Ka Man Lo, Jiaheng Liu, Ruibin Yuan, Lejun Min, Xueling Liu, Tianyu Zhang, Xinrun Du, Shuyue Guo, Yiming Liang, Yizhi Li, Shangda Wu, Junting Zhou, Tianyu Zheng, Ziyang Ma, Fengze Han, Wei Xue, Gus Xia, Emmanouil Benetos, Xiang Yue, Chenghua Lin, Xu Tan, Stephen W. Huang, Wenhu Chen, Jie Fu, Ge Zhang:
MuPT: A Generative Symbolic Music Pretrained Transformer. CoRR abs/2404.06393 (2024) - [i13]Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, Zhiqi Bai, Jiakai Wang, Yuanxing Zhang, Xu Tan, Jie Fu, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng:
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models. CoRR abs/2406.01375 (2024) - [i12]Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng:
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models. CoRR abs/2406.14550 (2024) - [i11]Siwei Wu, Kang Zhu, Yu Bai, Yiming Liang, Yizhi Li, Haoning Wu, Jiaheng Liu, Ruibo Liu, Xingwei Qu, Xuxin Cheng, Ge Zhang, Wenhao Huang, Chenghua Lin:
MMRA: A Benchmark for Multi-granularity Multi-image Relational Association. CoRR abs/2407.17379 (2024) - [i10]Xingwei Qu, Ge Zhang, Siwei Wu, Yizhi Li, Chenghua Lin:
Overview of the NLPCC 2024 Shared Task on Chinese Metaphor Generation. CoRR abs/2408.04378 (2024) - [i9]Yiming Liang, Ge Zhang, Xingwei Qu, Tianyu Zheng, Jiawei Guo, Xinrun Du, Zhenzhu Yang, Jiaheng Liu, Chenghua Lin, Lei Ma, Wenhao Huang, Jiajun Zhang:
I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm. CoRR abs/2408.08072 (2024) - [i8]Yinghao Ma, Anders Øland, Anton Ragni, Bleiz Macsen Del Sette, Charalampos Saitis, Chris Donahue, Chenghua Lin, Christos Plachouras, Emmanouil Benetos, Elio Quinton, Elona Shatri, Fabio Morreale, Ge Zhang, György Fazekas, Gus Xia, Huan Zhang, Ilaria Manco, Jiawen Huang, Julien Guinot, Liwei Lin, Luca Marinelli, Max W. Y. Lam, Megha Sharma, Qiuqiang Kong, Roger B. Dannenberg, Ruibin Yuan, Shangda Wu, Shih-Lun Wu, Shuqi Dai, Shun Lei, Shiyin Kang, Simon Dixon, Wenhu Chen, Wenhao Huang, Xingjian Du, Xingwei Qu, Xu Tan, Yizhi Li, Zeyue Tian, Zhiyong Wu, Zhizheng Wu, Ziyang Ma, Ziyu Wang:
Foundation Models for Music: A Survey. CoRR abs/2408.14340 (2024) - [i7]King Zhu, Qianbo Zang, Shian Jia, Siwei Wu, Feiteng Fang, Yizhi Li, Shawn Gavin, Tuney Zheng, Jiawei Guo, Bo Li, Haoning Wu, Xingwei Qu, Jian Yang, Zachary Liu, Xiang Yue, J. H. Liu, Chenghua Lin, Min Yang, Shiwen Ni, Wenhao Huang, Ge Zhang:
LIME: Less Is More for MLLM Evaluation. CoRR abs/2409.06851 (2024) - [i6]Yizhi Li, Ge Zhang, Yinghao Ma, Ruibin Yuan, Kang Zhu, Hangyu Guo, Yiming Liang, Jiaheng Liu, Jian Yang, Siwei Wu, Xingwei Qu, Jinjie Shi, Xinyue Zhang, Zhenzhu Yang, Xiangzhou Wang, Zhaoxiang Zhang, Zachary Liu, Emmanouil Benetos, Wenhao Huang, Chenghua Lin:
OmniBench: Towards The Future of Universal Omni-Language Models. CoRR abs/2409.15272 (2024) - [i5]Kaijing Ma, Xinrun Du, Yunran Wang, Haoran Zhang, Zhoufutu Wen, Xingwei Qu, Jian Yang, Jiaheng Liu, Minghao Liu, Xiang Yue, Wenhao Huang, Ge Zhang:
KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks. CoRR abs/2410.06526 (2024) - [i4]Chenhao Zhang, Xi Feng, Yuelin Bai, Xinrun Du, Jinchang Hou, Kaixin Deng, Guangzeng Han, Qinrui Li, Bingli Wang, Jiaheng Liu, Xingwei Qu, Yifei Zhang, Qixuan Zhao, Yiming Liang, Ziqiang Liu, Feiteng Fang, Min Yang, Wenhao Huang, Chenghua Lin, Ge Zhang, Shiwen Ni:
Can MLLMs Understand the Deep Implication Behind Chinese Images? CoRR abs/2410.13854 (2024) - [i3]Yuyang Cheng, Xingwei Qu, Tomas Goldsack, Chenghua Lin, Chung-Chi Chen:
Observing Micromotives and Macrobehavior of Large Language Models. CoRR abs/2412.10428 (2024) - 2023
- [j2]Xingyue Qu, Jin Han, Longqing Shi, Xingwei Qu, Ahmer Bilal, Mei Qiu, Weifu Gao:
An extended ITL-VIKOR model using triangular fuzzy numbers for applications to water-richness evaluation. Expert Syst. Appl. 222: 119793 (2023) - [i2]Jingbang Chen, Yian Wang, Xingwei Qu, Shuangjia Zheng, Yaodong Yang, Hao Dong, Jie Fu:
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators. CoRR abs/2308.15116 (2023) - [i1]Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen:
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning. CoRR abs/2309.05653 (2023) - 2022
- [c1]Jincan Zhang, Zhenbo Song, Jianfeng Lu, Xingwei Qu, Zhaoxin Fan:
PilotAttnNet: Multi-modal Attention Network for End-to-End Steering Control. PRCV (3) 2022: 179-191
2010 – 2019
- 2019
- [j1]Zied Tayeb, Juri Fedjaev, Nejla Ghaboosi, Christoph Richter, Lukas Everding, Xingwei Qu, Yingyu Wu, Gordon Cheng, Jörg Conradt:
Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals. Sensors 19(1): 210 (2019)
Coauthor Index
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