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2020 – today
- 2025
[c47]Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu:
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models. AAAI 2025: 23778-23786- [c46]Feiyu Duan, Xuemiao Zhang, Sirui Wang, Haoran Que, Yuqi Liu, Wenge Rong, Xunliang Cai:
Enhancing LLMs via High-Knowledge Data Selection. AAAI 2025: 23832-23840 - [c45]Yuchen Yan
, Jin Jiang, Yang Liu, Yixin Cao, Xin Xu, Mengdi Zhang, Xunliang Cai, Jian Shao:
S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners. AAAI 2025: 25588-25596 - [c44]Shao Zhang, Xihuai Wang, Wenhao Zhang, Chaoran Li, Junru Song, Tingyu Li, Lin Qiu, Xuezhi Cao, Xunliang Cai, Wen Yao, Weinan Zhang, Xinbing Wang, Ying Wen:
Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration. ACL (1) 2025: 4081-4108 - [c43]Peng Ding, Jun Kuang, ZongYu Wang, Xuezhi Cao, Xunliang Cai, Jiajun Chen, Shujian Huang:
Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement. ACL (Findings) 2025: 6279-6299 - [c42]Qi Liu, Jingqing Ruan, Hao Li, Haodong Zhao, Desheng Wang, Jiansong Chen, Guanglu Wan, Xunliang Cai, Zhi Zheng, Tong Xu:
AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models. ACL (Findings) 2025: 8832-8866 - [c41]Xiancai Chen, Zhengwei Tao, Kechi Zhang, Changzhi Zhou, Xinyu Zhang, Wanli Gu, Yuanpeng He, Mengdi Zhang, Xunliang Cai, Haiyan Zhao, Zhi Jin:
Revisit Self-Debugging with Self-Generated Tests for Code Generation. ACL (1) 2025: 18003-18023 - [c40]Xuemiao Zhang, Feiyu Duan, Liangyu Xu, Yongwei Zhou, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai:
FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy. ACL (Findings) 2025: 20278-20297 - [c39]Xuemiao Zhang, Liangyu Xu, Feiyu Duan, Yongwei Zhou, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai:
Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data. ACL (Findings) 2025: 21181-21198 - [c38]Yufang Liu, Yao Du, Tao Ji, Jianing Wang, Yang Liu, Yuanbin Wu, Aimin Zhou, Mengdi Zhang, Xunliang Cai:
The Role of Visual Modality in Multimodal Mathematical Reasoning: Challenges and Insights. ACL (1) 2025: 22596-22611 - [c37]Yongquan He, Wenyuan Zhang, Xuancheng Huang, Peng Zhang, Lingxun Meng, Xiang Zhou, Ke Zeng, Xunliang Cai:
Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning. ACL (1) 2025: 23649-23668 - [c36]Zhengyu Chen, Siqi Wang, Teng Xiao, Yudong Wang, Shiqi Chen, Xunliang Cai, Junxian He, Jingang Wang:
Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies. ACL (1) 2025: 23881-23899 - [c35]Jin Jiang, Yuchen Yan, Yang Liu, Jianing Wang, Shuai Peng, Xunliang Cai, Yixin Cao, Mengdi Zhang, Liangcai Gao:
LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning. ACL (1) 2025: 26200-26218 - [c34]Keheng Wang, Feiyu Duan, Peiguang Li, Sirui Wang, Xunliang Cai:
LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation. COLING 2025: 2379-2400 - [c33]Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu:
AgentRefine: Enhancing Agent Generalization through Refinement Tuning. ICLR 2025 - [c32]Ruichen Shao, Bei Li, Gangao Liu, Yang Chen, ZhouXiang, Jingang Wang, Xunliang Cai, Peng Li:
Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective. ICLR 2025 - [c31]Sanwoo Lee, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Yunfang Wu:
Dynamic Fisher-weighted Model Merging via Bayesian Optimization. NAACL (Long Papers) 2025: 4923-4935 - [c30]Yiwen Ding, Zhiheng Xi, Wei He, Lizhuoyuan Lizhuoyuan, Yitao Zhai, Shi Xiaowei, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang:
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling. NAACL (Long Papers) 2025: 10627-10646 - [i94]Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu:
AgentRefine: Enhancing Agent Generalization through Refinement Tuning. CoRR abs/2501.01702 (2025) - [i93]Xiancai Chen, Zhengwei Tao, Kechi Zhang, Changzhi Zhou, Wanli Gu, Yuanpeng He, Mengdi Zhang, Xunliang Cai, Haiyan Zhao, Zhi Jin:
Revisit Self-Debugging with Self-Generated Tests for Code Generation. CoRR abs/2501.12793 (2025) - [i92]Xuemiao Zhang, Liangyu Xu, Feiyu Duan, Yongwei Zhou, Sirui Wang, Jingang Wang, Xunliang Cai:
Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data. CoRR abs/2501.13126 (2025) - [i91]Yingxuan Yang, Bo Huang, Siyuan Qi, Chao Feng, Haoyi Hu, Yuxuan Zhu, Jinbo Hu, Haoran Zhao, Ziyi He, Xiao Liu, Zongyu Wang, Lin Qiu, Xuezhi Cao, Xunliang Cai, Yong Yu, Weinan Zhang:
Who's the MVP? A Game-Theoretic Evaluation Benchmark for Modular Attribution in LLM Agents. CoRR abs/2502.00510 (2025) - [i90]Liangyu Xu, Xuemiao Zhang, Feiyu Duan, Sirui Wang, Jingang Wang, Xunliang Cai:
FIRE: Flexible Integration of Data Quality Ratings for Effective Pre-Training. CoRR abs/2502.00761 (2025) - [i89]Xuemiao Zhang, Feiyu Duan, Liangyu Xu, Yongwei Zhou, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai:
FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy. CoRR abs/2502.05551 (2025) - [i88]Shao Zhang, Xihuai Wang, Wenhao Zhang, Chaoran Li, Junru Song, Tingyu Li, Lin Qiu, Xuezhi Cao, Xunliang Cai, Wen Yao, Weinan Zhang, Xinbing Wang, Ying Wen:
Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration. CoRR abs/2502.11882 (2025) - [i87]Feiye Huo, Jianchao Tan, Kefeng Zhang, Xunliang Cai, Shengli Sun:
C2T: A Classifier-Based Tree Construction Method in Speculative Decoding. CoRR abs/2502.13652 (2025) - [i86]Jiayu Qin, Jianchao Tan, Kefeng Zhang, Xunliang Cai, Wei Wang:
MaskPrune: Mask-based LLM Pruning for Layer-wise Uniform Structures. CoRR abs/2502.14008 (2025) - [i85]Ruichen Shao, Bei Li, Gangao Liu, Yang Chen, Xiang Zhou, Jingang Wang, Xunliang Cai, Peng Li:
Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective. CoRR abs/2502.14340 (2025) - [i84]Xiangyu Xi, Deyang Kong, Jian Yang, Jiawei Yang, Zhengyu Chen, Wei Wang, Jingang Wang, Xunliang Cai, Shikun Zhang, Wei Ye:
SampleMix: A Sample-wise Pre-training Data Mixing Strategey by Coordinating Data Quality and Diversity. CoRR abs/2503.01506 (2025) - [i83]Yufang Liu, Yao Du, Tao Ji, Jianing Wang, Yang Liu, Yuanbin Wu, Aimin Zhou, Mengdi Zhang, Xunliang Cai:
The Role of Visual Modality in Multimodal Mathematical Reasoning: Challenges and Insights. CoRR abs/2503.04167 (2025) - [i82]Lanrui Wang, Mingyu Zheng, Hongyin Tang, Zheng Lin, Yanan Cao, Jingang Wang, Xunliang Cai, Weiping Wang:
NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables. CoRR abs/2504.06560 (2025) - [i81]Jianing Wang, Jin Jiang, Yang Liu, Mengdi Zhang, Xunliang Cai:
Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning. CoRR abs/2504.13500 (2025) - [i80]Sanwoo Lee, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Yunfang Wu:
Dynamic Fisher-weighted Model Merging via Bayesian Optimization. CoRR abs/2504.18992 (2025) - [i79]Xihuai Wang, Ziyi Zhao, Siyu Ren, Shao Zhang, Song Li, Xiaoyu Li, Ziwen Wang, Lin Qiu, Guanglu Wan, Xuezhi Cao, Xunliang Cai, Weinan Zhang:
Audio Turing Test: Benchmarking the Human-likeness of Large Language Model-based Text-to-Speech Systems in Chinese. CoRR abs/2505.11200 (2025) - [i78]Peng Ding, Jun Kuang, Zongyu Wang, Xuezhi Cao, Xunliang Cai, Jiajun Chen, Shujian Huang:
Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement. CoRR abs/2505.12060 (2025) - [i77]Feiyu Duan, Xuemiao Zhang, Sirui Wang, Haoran Que, Yuqi Liu, Wenge Rong, Xunliang Cai:
Enhancing LLMs via High-Knowledge Data Selection. CoRR abs/2505.14070 (2025) - [i76]Xiaoyun Zhang, Jingqing Ruan, Xing Ma, Yawen Zhu, Haodong Zhao, Hao Li, Jiansong Chen, Ke Zeng, Xunliang Cai:
When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning. CoRR abs/2505.15400 (2025) - [i75]Jin Jiang, Jianing Wang, Yuchen Yan, Yang Liu, Jianhua Zhu, Mengdi Zhang, Xunliang Cai, Liangcai Gao:
Do Large Language Models Excel in Complex Logical Reasoning with Formal Language? CoRR abs/2505.16998 (2025) - [i74]Deyang Kong, Qi Guo, Xiangyu Xi, Wei Wang, Jingang Wang, Xunliang Cai, Shikun Zhang, Wei Ye:
Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective. CoRR abs/2505.17652 (2025) - [i73]Hexiang Tan, Fei Sun, Sha Liu, Du Su, Qi Cao, Xin Chen, Jingang Wang, Xunliang Cai, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs. CoRR abs/2505.17656 (2025) - [i72]Zhe Kong, Feng Gao, Yong Zhang, Zhuoliang Kang, Xiaoming Wei, Xunliang Cai, Guanying Chen, Wenhan Luo:
Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation. CoRR abs/2505.22647 (2025) - [i71]Mingze Wang, Jinbo Wang, Jiaqi Zhang, Wei Wang, Peng Pei, Xunliang Cai, Weinan E, Lei Wu:
GradPower: Powering Gradients for Faster Language Model Pre-Training. CoRR abs/2505.24275 (2025) - [i70]Haojie Yu, Zhaonian Wang, Yihan Pan, Meng Cheng, Hao Yang, Chao Wang, Tao Xie, Xiaoming Xu, Xiaoming Wei, Xunliang Cai:
LLIA - Enabling Low-Latency Interactive Avatars: Real-Time Audio-Driven Portrait Video Generation with Diffusion Models. CoRR abs/2506.05806 (2025) - [i69]Qi Liu, Jingqing Ruan, Hao Li, Haodong Zhao, Desheng Wang, Jiansong Chen, Guanglu Wan, Xunliang Cai, Zhi Zheng, Tong Xu:
AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models. CoRR abs/2506.07165 (2025) - [i68]Yaoming Zhu, Junxin Wang, Yiyang Li, Lin Qiu, ZongYu Wang, Jun Xu, Xuezhi Cao, Yuhuai Wei, Mingshi Wang, Xunliang Cai, Rong Ma:
OIBench: Benchmarking Strong Reasoning Models with Olympiad in Informatics. CoRR abs/2506.10481 (2025) - [i67]Hongyu Wang, Jiayu Xu, Ruiping Wang, Yan Feng, Yitao Zhai, Peng Pei, Xunliang Cai, Xilin Chen:
MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models. CoRR abs/2506.14435 (2025) - [i66]Xiaoyun Zhang, Jingqing Ruan, Xing Ma, Yawen Zhu, Jiansong Chen, Ke Zeng, Xunliang Cai:
Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy. CoRR abs/2507.01327 (2025) - [i65]Lingyue Fu, Hao Guan, Bolun Zhang, Haowei Yuan, Yaoming Zhu, Jun Xu, Zongyu Wang, Lin Qiu, Xunliang Cai, Xuezhi Cao, Weiwen Liu, Weinan Zhang, Yong Yu:
CoreCodeBench: A Configurable Multi-Scenario Repository-Level Benchmark. CoRR abs/2507.05281 (2025) - [i64]Zhengyu Chen, Siqi Wang, Teng Xiao, Yudong Wang, Shiqi Chen, Xunliang Cai, Junxian He, Jingang Wang:
Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs. CoRR abs/2507.10613 (2025) - [i63]Meng Zhou, Bei Li, Jiahao Liu, Xiaowen Shi, Yang Bai, Rongxiang Weng, Jingang Wang, Xunliang Cai:
Libra: Assessing and Improving Reward Model by Learning to Think. CoRR abs/2507.21645 (2025) - [i62]Xuemiao Zhang, Can Ren, Chengying Tu, Rongxiang Weng, Hongfei Yan, Jingang Wang, Xunliang Cai:
LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points. CoRR abs/2508.01317 (2025) - [i61]Xuemiao Zhang, Chengying Tu, Can Ren, Rongxiang Weng, Hongfei Yan, Jingang Wang, Xunliang Cai:
Large-Scale Diverse Synthesis for Mid-Training. CoRR abs/2508.01326 (2025) - [i60]Shaoshu Yang, Zhe Kong, Feng Gao, Meng Cheng, Xiangyu Liu, Yong Zhang, Zhuoliang Kang, Wenhan Luo, Xunliang Cai, Ran He, Xiaoming Wei:
InfiniteTalk: Audio-driven Video Generation for Sparse-Frame Video Dubbing. CoRR abs/2508.14033 (2025) - [i59]Jiacheng Li, Jianchao Tan, Zhidong Yang, Pingwei Sun, Feiye Huo, Jiayu Qin, Yerui Sun, Yuchen Xie, Xunliang Cai, Xiangyu Zhang, Maoxin He, Guangming Tan, Weile Jia, Tong Zhao:
WISCA: A Lightweight Model Transition Method to Improve LLM Training via Weight Scaling. CoRR abs/2508.16676 (2025) - [i58]Zihao Wei, Liang Pang, Jiahao Liu, Jingcheng Deng, Shicheng Xu, Zenghao Duan, Jingang Wang, Fei Sun, Xunliang Cai, Huawei Shen, Xueqi Cheng:
Stop Spinning Wheels: Mitigating LLM Overthinking via Mining Patterns for Early Reasoning Exit. CoRR abs/2508.17627 (2025) - [i57]Weikang Zhao, Xili Wang, Chengdi Ma, Lingbin Kong, Zhaohua Yang, Mingxiang Tuo, Xiaowei Shi, Yitao Zhai, Xunliang Cai:
MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool use. CoRR abs/2508.18669 (2025) - [i56]Han Li, Xinyu Peng, Yaoming Wang, Zelin Peng, Xin Chen, Rongxiang Weng, Jingang Wang, Xunliang Cai, Wenrui Dai, Hongkai Xiong:
OneCAT: Decoder-Only Auto-Regressive Model for Unified Understanding and Generation. CoRR abs/2509.03498 (2025) - [i55]Yiyang Li, Yonghuang Wu, Ying Luo, Liangtai Sun, Zishu Qin, Lin Qiu, Xuezhi Cao, Xunliang Cai:
Instance-level Randomization: Toward More Stable LLM Evaluations. CoRR abs/2509.12678 (2025) - [i54]Siyu Yan, Long Zeng, Xuecheng Wu, Chengcheng Han, Kongcheng Zhang, Chong Peng, Xuezhi Cao, Xunliang Cai, Chenjuan Guo:
MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models. CoRR abs/2509.14651 (2025) - [i53]Meituan LongCat Team, Anchun Gui, Bei Li, Bingyang Tao, Bole Zhou, Borun Chen, Chao Zhang, Chengcheng Han, Chenhui Yang, Chi Zhang, Chong Peng, Chuyu Zhang, Cong Chen, Fengcun Li, Gang Xu, Guoyuan Lin, Hao Jiang, Hao Liang, Haomin Fu, Haoxiang Ma, Hong Liu, Hongyan Hao, Hongyin Tang, Hongyu Zang, Hongzhi Ni, Hui Su, Jiahao Liu, Jiahuan Li, Jialin Liu, Jianfei Zhang, Jianhao Xu, Jianing Wang, Jiaqi Sun, Jiaqi Zhang, Jiarong Shi, Jiawei Yang, Jingang Wang, Jinrui Ding, Jun Kuang, Jun Xu, Ke He, Kefeng Zhang, Keheng Wang, Keqing He, Li Wei, Liang Shi, Lin Qiu, Lingbin Kong, Lingchuan Liu, Linsen Guo, Longfei An, Mai Xia, Meng Zhou, Mengshen Zhu, Peng Pei, Pengcheng Jia, Qi Gu, Qi Guo, Qiong Huang, Quan Chen, Quanchi Weng, Rongxiang Weng, Ruichen Shao, Rumei Li, Shanglin Lei, Shuai Du, Shuaikang Liu, Shuang Zhou, Shuhao Hu, Siyu Xu, Songshan Gong, Tao Liang, Tianhao Hu, Wei He, Wei Shi, Wei Wang, Wei Wu, Wei Zhuo, Weifeng Tang, Wenjie Shi, Wenlong Zhu, Xi Su, Xiangcheng Liu, Xiangyu Xi, Xiangzhou Huang, Xiao Liu, Xiaochen Jiang, Xiaowei Shi, Xiaowen Shi, Xiaoyu Li, Xin Chen, Xinyue Zhao, Xuan Huang, Xuemiao Zhang, Xuezhi Cao, Xunliang Cai, Yajie Zhang, Yang Chen, Yang Liu:
LongCat-Flash-Thinking Technical Report. CoRR abs/2509.18883 (2025) - [i52]Xuemiao Zhang, Can Ren, Chengying Tu, Rongxiang Weng, Shuo Wang, Hongfei Yan, Jingang Wang, Xunliang Cai:
Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns. CoRR abs/2509.21124 (2025) - [i51]Wei He, Yueqing Sun, Hongyan Hao, Xueyuan Hao, Zhikang Xia, Qi Gu, Chengcheng Han, Dengchang Zhao, Hui Su, Kefeng Zhang, Man Gao, Xi Su, Xiaodong Cai, Xunliang Cai, Yu Yang, Yunke Zhao:
VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-world Applications. CoRR abs/2509.26490 (2025) - [i50]Zhejian Lai, Xiang Geng, Zhijun Wang, Yang Bai, Jiahuan Li, Rongxiang Weng, Jingang Wang, Xuezhi Cao, Xunliang Cai, Shujian Huang:
Making Mathematical Reasoning Adaptive. CoRR abs/2510.04617 (2025) - [i49]Qi Guo, Jianing Wang, Jianfei Zhang, Deyang Kong, Xiangzhou Huang, Xiangyu Xi, Wei Wang, Jingang Wang, Xunliang Cai, Shikun Zhang, Wei Ye:
Autoformalizer with Tool Feedback. CoRR abs/2510.06857 (2025) - [i48]Yi Lu, Jianing Wang, Linsen Guo, Wei He, Hongyin Tang, Tao Gui, Xuanjing Huang, Xuezhi Cao, Wei Wang, Xunliang Cai:
R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth? CoRR abs/2510.08189 (2025) - [i47]Chengqi Duan, Kaiyue Sun, Rongyao Fang, Manyuan Zhang, Yan Feng, Ying Luo, Yufang Liu, Ke Wang, Peng Pei, Xunliang Cai, Hongsheng Li, Yi Ma, Xihui Liu:
CodePlot-CoT: Mathematical Visual Reasoning by Thinking with Code-Driven Images. CoRR abs/2510.11718 (2025) - [i46]Xuxin Cheng, Ke Zeng, Zhiquan Cao, Linyi Dai, Wenxuan Gao, Fei Han, Ai Jian, Feng Hong, Wenxing Hu, Zihe Huang, Dejian Kong, Jia Leng, Zhuoyuan Liao, Pei Liu, Jiaye Lin, Xing Ma, Jingqing Ruan, Jiaxing Song, Xiaoyu Tan, Ruixuan Xiao, Wenhui Yu, Wenyu Zhan, Haoxing Zhang, Chao Zhou, Hao Zhou, Shaodong Zheng, Ruinian Chen, Siyuan Chen, Ziyang Chen, Yiwen Dong, Yaoyou Fan, Yangyi Fang, Yang Gan, Shiguang Guo, Qi He, Chaowen Hu, Binghui Li, Dailin Li, Xiangyu Li, Yan Li, Chengjian Liu, Xiangfeng Liu, Jiahui Lv, Qiao Ma, Jiang Pan, Cong Qin, Chenxing Sun, Wen Sun, Zhonghui Wang, Abudukelimu Wuerkaixi, Xin Yang, Fangyi Yuan, Yawen Zhu, Tianyi Zhai, Jie Zhang, Runlai Zhang, Yao Xu, Yiran Zhao, Yifan Wang, Xunliang Cai, Yangen Hu, Cao Liu, Lu Pan, Xiaoli Wang, Bo Xiao, Wenyuan Yao, Qianlin Zhou, Benchang Zhu:
Higher Satisfaction, Lower Cost: A Technical Report on How LLMs Revolutionize Meituan's Intelligent Interaction Systems. CoRR abs/2510.13291 (2025) - [i45]Zhangquan Chen, Manyuan Zhang, Xinlei Yu, Xufang Luo, Mingze Sun, Zihao Pan, Yan Feng, Peng Pei, Xunliang Cai, Ruqi Huang:
Think with 3D: Geometric Imagination Grounded Spatial Reasoning from Limited Views. CoRR abs/2510.18632 (2025) - [i44]Chen Chen, Zeyang Hu, Fengjiao Chen, Liya Ma, Jiaxing Liu, Xiaoyu Li, Ziwen Wang, Xuezhi Cao, Xunliang Cai:
UNO-Bench: A Unified Benchmark for Exploring the Compositional Law Between Uni-modal and Omni-modal in Omni Models. CoRR abs/2510.18915 (2025) - [i43]Xunliang Cai, Qilong Huang, Zhuoliang Kang, Hongyu Li, Shijun Liang, Liya Ma, Siyu Ren, Xiaoming Wei, Rixu Xie, Tong Zhang:
LongCat-Video Technical Report. CoRR abs/2510.22200 (2025) - [i42]Chengying Tu, Xuemiao Zhang, Rongxiang Weng, Rumei Li, Chen Zhang, Yang Bai, Hongfei Yan, Jingang Wang, Xunliang Cai:
A Survey on LLM Mid-training. CoRR abs/2510.23081 (2025) - [i41]Ai Jian, Jingqing Ruan, Xing Ma, Dailin Li, Qianlin Zhou, Ke Zeng, Xunliang Cai:
PaTaRM: Bridging Pairwise and Pointwise Signals via Preference-Aware Task-Adaptive Reward Modeling. CoRR abs/2510.24235 (2025) - [i40]Lingyue Fu, Bolun Zhang, Hao Guan, Yaoming Zhu, Lin Qiu, Weiwen Liu, Xuezhi Cao, Xunliang Cai, Weinan Zhang, Yong Yu:
Automatically Benchmarking LLM Code Agents through Agent-Driven Annotation and Evaluation. CoRR abs/2510.24358 (2025) - [i39]Xin Guo, Zhiheng Xi, Yiwen Ding, Yitao Zhai, Xiaowei Shi, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang:
Counteracting Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing. CoRR abs/2510.26474 (2025) - [i38]Shengnan An, Xunliang Cai, Xuezhi Cao, Xiaoyu Li, Yehao Lin, Junlin Liu, Xinxuan Lv, Dan Ma, Xuanlin Wang, Ziwen Wang, Shuang Zhou:
AMO-Bench: Large Language Models Still Struggle in High School Math Competitions. CoRR abs/2510.26768 (2025) - [i37]Lingyue Fu, Xin Ding, Yaoming Zhu, Shao Zhang, Lin Qiu, Weiwen Liu, Weinan Zhang, Xuezhi Cao, Xunliang Cai, Jiaxin Ding, Yong Yu:
CATArena: Evaluation of LLM Agents through Iterative Tournament Competitions. CoRR abs/2510.26852 (2025) - [i36]Peng Ding, Jun Kuang, Wen Sun, Zongyu Wang, Xuezhi Cao, Xunliang Cai, Jiajun Chen, Shujian Huang:
Friend or Foe: How LLMs' Safety Mind Gets Fooled by Intent Shift Attack. CoRR abs/2511.00556 (2025) - [i35]Yuxuan Hu, Jianchao Tan, Jiaqi Zhang, Wen Zan, Pingwei Sun, Yifan Lu, Yerui Sun, Yuchen Xie, Xunliang Cai, Jing Zhang:
Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies. CoRR abs/2511.00819 (2025) - 2024
- [c29]Zhuocheng Gong, Jiahao Liu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan:
What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation. AAAI 2024: 18082-18089 - [c28]Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai:
Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism. ACL (Findings) 2024: 3027-3043 - [c27]Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai:
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. ACL (1) 2024: 4706-4721 - [c26]Mengjie Ren, Boxi Cao, Hongyu Lin, Cao Liu, Xianpei Han, Ke Zeng, Guanglu Wan, Xunliang Cai, Le Sun:
Learning or Self-aligning? Rethinking Instruction Fine-tuning. ACL (1) 2024: 6090-6105 - [c25]Zhuocheng Gong, Jiahao Liu, Ziyue Wang, Pengfei Wu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan:
Graph-Structured Speculative Decoding. ACL (Findings) 2024: 11404-11415 - [c24]Chunkang Zhang, Boxi Cao, Yaojie Lu, Hongyu Lin, Liu Cao, Ke Zeng, Guanglu Wan, Xunliang Cai, Xianpei Han, Le Sun:
Pattern Shifting or Knowledge Losing? A Forgetting Perspective for Understanding the Effect of Instruction Fine-Tuning. CCL 2024: 540-554 - [c23]Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. LREC/COLING 2024: 2354-2364 - [c22]Zhicong Lu, Li Jin, Peiguang Li, Yu Tian, Linhao Zhang, Sirui Wang, Guangluan Xu, Changyuan Tian, Xunliang Cai:
Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal. EMNLP 2024: 7518-7530 - [c21]Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu:
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. EMNLP 2024: 14027-14043 - [c20]Ruotong Pan, Boxi Cao, Hongyu Lin, Xianpei Han, Jia Zheng, Sirui Wang, Xunliang Cai, Le Sun:
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation. EMNLP 2024: 19844-19863 - [c19]Peng Ding, Jingyu Wu, Jun Kuang, Dan Ma, Xuezhi Cao, Xunliang Cai, Shi Chen, Jiajun Chen, Shujian Huang:
Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs. ACM Multimedia 2024: 10707-10715 - [c18]Bei Li, Tong Zheng, Rui Wang, Jiahao Liu, Qingyan Guo, Junliang Guo, Xu Tan, Tong Xiao, Jingbo Zhu, Jingang Wang, Xunliang Cai:
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning. NeurIPS 2024 - [c17]Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao:
FIRP: Faster LLM Inference via Future Intermediate Representation Prediction. NLPCC (3) 2024: 158-169 - [i34]Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu:
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. CoRR abs/2402.09136 (2024) - [i33]Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. CoRR abs/2402.17256 (2024) - [i32]Mengjie Ren, Boxi Cao, Hongyu Lin, Cao Liu, Xianpei Han, Ke Zeng, Guanglu Wan, Xunliang Cai, Le Sun:
Learning or Self-aligning? Rethinking Instruction Fine-tuning. CoRR abs/2402.18243 (2024) - [i31]Zhuocheng Gong, Jiahao Liu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan:
What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation. CoRR abs/2403.06408 (2024) - [i30]Hui Su, Zhi Tian, Xiaoyu Shen, Xunliang Cai:
Unraveling the Mystery of Scaling Laws: Part I. CoRR abs/2403.06563 (2024) - [i29]Ruotong Pan, Boxi Cao, Hongyu Lin, Xianpei Han, Jia Zheng, Sirui Wang, Xunliang Cai, Le Sun:
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation. CoRR abs/2404.06809 (2024) - [i28]Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao:
Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration. CoRR abs/2404.12022 (2024) - [i27]Keheng Wang, Feiyu Duan, Peiguang Li, Sirui Wang, Xunliang Cai:
LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation. CoRR abs/2404.14043 (2024) - [i26]Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai:
Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism. CoRR abs/2406.03853 (2024) - [i25]Shihan Dou, Haoxiang Jia, Shenxi Wu, Huiyuan Zheng, Weikang Zhou, Muling Wu, Mingxu Chai, Jessica Fan, Caishuang Huang, Yunbo Tao, Yan Liu, Enyu Zhou, Ming Zhang, Yuhao Zhou, Yueming Wu, Rui Zheng, Ming Wen, Rongxiang Weng, Jingang Wang, Xunliang Cai, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang:
What's Wrong with Your Code Generated by Large Language Models? An Extensive Study. CoRR abs/2407.06153 (2024) - [i24]Zhuocheng Gong, Jiahao Liu, Ziyue Wang, Pengfei Wu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan:
Graph-Structured Speculative Decoding. CoRR abs/2407.16207 (2024) - [i23]Peng Ding, Jingyu Wu, Jun Kuang, Dan Ma, Xuezhi Cao, Xunliang Cai, Shi Chen, Jiajun Chen, Shujian Huang:
Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs. CoRR abs/2408.01355 (2024) - [i22]Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu:
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models. CoRR abs/2408.02632 (2024) - [i21]Zhihao Li, Yao Du, Yang Liu, Yan Zhang, Yufang Liu, Mengdi Zhang, Xunliang Cai:
EAGLE: Elevating Geometric Reasoning through LLM-empowered Visual Instruction Tuning. CoRR abs/2408.11397 (2024) - [i20]Danlong Yuan, Jiahao Liu, Bei Li, Huishuai Zhang, Jingang Wang, Xunliang Cai, Dongyan Zhao:
ReMamba: Equip Mamba with Effective Long-Sequence Modeling. CoRR abs/2408.15496 (2024) - [i19]Yuchen Yan, Jin Jiang, Yang Liu, Yixin Cao, Xin Xu, Mengdi Zhang, Xunliang Cai, Jian Shao:
S3c-Math: Spontaneous Step-level Self-correction Makes Large Language Models Better Mathematical Reasoners. CoRR abs/2409.01524 (2024) - [i18]Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu:
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data. CoRR abs/2409.03810 (2024) - [i17]Wei Liu, Yang Bai, Chengcheng Han, Rongxiang Weng, Jun Xu, Xuezhi Cao, Jingang Wang, Xunliang Cai:
Length Desensitization in Directed Preference Optimization. CoRR abs/2409.06411 (2024) - [i16]Jin Jiang, Yuchen Yan, Yang Liu, Yonggang Jin, Shuai Peng, Mengdi Zhang, Xunliang Cai, Yixin Cao, Liangcai Gao, Zhi Tang:
LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning. CoRR abs/2409.12929 (2024) - [i15]Yulei Qian, Fengcun Li, Xiangyang Ji, Xiaoyu Zhao, Jianchao Tan, Kefeng Zhang, Xunliang Cai:
EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference. CoRR abs/2410.12247 (2024) - [i14]Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao:
FIRP: Faster LLM inference via future intermediate representation prediction. CoRR abs/2410.20488 (2024) - [i13]Shihan Dou, Jiazheng Zhang, Jianxiang Zang, Yunbo Tao, Haoxiang Jia, Shichun Liu, Yuming Yang, Shenxi Wu, Shaoqing Zhang, Muling Wu, Changze Lv, Limao Xiong, Wenyu Zhan, Lin Zhang, Rongxiang Weng, Jingang Wang, Xunliang Cai, Yueming Wu, Ming Wen, Rui Zheng, Tao Ji, Yixin Cao, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang:
Multi-Programming Language Sandbox for LLMs. CoRR abs/2410.23074 (2024) - [i12]Yiwen Ding, Zhiheng Xi, Wei He, Zhuoyuan Li, Yitao Zhai, Xiaowei Shi, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang:
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling. CoRR abs/2411.00750 (2024) - [i11]Bei Li, Tong Zheng, Rui Wang, Jiahao Liu, Qingyan Guo, Junliang Guo, Xu Tan, Tong Xiao, Jingbo Zhu, Jingang Wang, Xunliang Cai:
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning. CoRR abs/2411.03042 (2024) - [i10]Zhiheng Xi, Dingwen Yang, Jixuan Huang, Jiafu Tang, Guanyu Li, Yiwen Ding, Wei He, Boyang Hong, Shihan Dou, Wenyu Zhan, Xiao Wang, Rui Zheng, Tao Ji, Xiaowei Shi, Yitao Zhai, Rongxiang Weng, Jingang Wang, Xunliang Cai, Tao Gui, Zuxuan Wu, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Yu-Gang Jiang:
Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision. CoRR abs/2411.16579 (2024) - [i9]Ao Wang, Hui Chen, Jianchao Tan, Kefeng Zhang, Xunliang Cai, Zijia Lin, Jungong Han, Guiguang Ding:
PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation. CoRR abs/2412.03409 (2024) - [i8]Hongyin Tang, Di Xiu, Lanrui Wang, Xiurui Geng, Jingang Wang, Xunliang Cai:
Ltri-LLM: Streaming Long Context Inference for LLMs with Training-Free Dynamic Triangular Attention Pattern. CoRR abs/2412.04757 (2024) - 2023
- [c16]Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. EMNLP (Findings) 2023: 3926-3939 - [c15]Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Wang, Rui Yan:
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression. EMNLP (Findings) 2023: 8643-8657 - [c14]Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. EMNLP 2023: 10291-10304 - [c13]Zhuocheng Gong, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan:
Improving Input-label Mapping with Demonstration Replay for In-context Learning. EMNLP (Findings) 2023: 14923-14934 - [c12]Xun Jiang, Zhiguo Chen, Xing Xu, Fumin Shen, Zuo Cao, Xunliang Cai:
Progressive Event Alignment Network for Partial Relevant Video Retrieval. ICME 2023: 1973-1978 - [c11]Hao-Tian Li, Tong Wei, Hao Yang, Kun Hu, Chong Peng, Li-Bo Sun, Xun-Liang Cai, Min-Ling Zhang:
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels. IJCAI 2023: 3902-3910 - [i7]Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. CoRR abs/2310.10176 (2023) - [i6]Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. CoRR abs/2310.13380 (2023) - [i5]Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Lucien Wang, Rui Yan:
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression. CoRR abs/2310.15594 (2023) - [i4]Zhuocheng Gong, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan:
Improving Input-label Mapping with Demonstration Replay for In-context Learning. CoRR abs/2310.19572 (2023) - 2022
- [c10]Yantao Gong, Cao Liu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Weipeng Zhang, Houfeng Wang:
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss. AAAI 2022: 10690-10698 - [c9]Yifan Wang, Yongkang Li, Shuai Li, Weiping Song, Jiangke Fan, Shan Gao, Ling Ma, Bing Cheng, Xunliang Cai, Sheng Wang, Ming Zhang:
Deep Graph Mutual Learning for Cross-domain Recommendation. DASFAA (2) 2022: 298-305 - [c8]Xun Jiang, Xing Xu, Jingran Zhang, Fumin Shen, Zuo Cao, Xunliang Cai:
GTLR: Graph-Based Transformer with Language Reconstruction for Video Paragraph Grounding. ICME 2022: 1-6 - [c7]Kai Wang, Yifan Wang, Xing Xu, Zuo Cao, Xunliang Cai:
Instance-Level Semantic Alignment for Zero-Shot Cross-Modal Retrieval. ICME 2022: 1-6 - [c6]Jialin Tian, Xing Xu, Kai Wang, Zuo Cao, Xunliang Cai, Heng Tao Shen:
Structure-Aware Semantic-Aligned Network for Universal Cross-Domain Retrieval. SIGIR 2022: 278-289 - [c5]Jinxiong Xia, Cao Liu, Jiansong Chen, Yuchen Li, Fan Yang, Xunliang Cai, Guanglu Wan, Houfeng Wang:
Dialogue Topic Segmentation via Parallel Extraction Network with Neighbor Smoothing. SIGIR 2022: 2126-2131 - [i3]Yantao Gong, Cao Liu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Weipeng Zhang, Houfeng Wang:
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss. CoRR abs/2203.09278 (2022) - 2021
- [c4]Shan Wu, Bo Chen, Chunlei Xin, Xianpei Han, Le Sun, Weipeng Zhang, Jiansong Chen, Fan Yang, Xunliang Cai:
From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding. ACL/IJCNLP (1) 2021: 5110-5121 - [c3]Yantao Gong, Cao Liu, Jiazhen Yuan, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Ruiyao Niu, Houfeng Wang:
Density-Based Dynamic Curriculum Learning for Intent Detection. CIKM 2021: 3034-3037 - [c2]Qingbin Liu, Pengfei Cao, Cao Liu, Jiansong Chen, Xunliang Cai, Fan Yang, Shizhu He, Kang Liu, Jun Zhao:
Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks. EMNLP (1) 2021: 2301-2311 - [c1]Bing Ma, Cao Liu, Jingyu Wang, Shujie Hu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Jianxin Liao:
Distant Supervision based Machine Reading Comprehension for Extractive Summarization in Customer Service. SIGIR 2021: 1895-1899 - [i2]Shan Wu, Bo Chen, Chunlei Xin, Xianpei Han, Le Sun, Weipeng Zhang, Jiansong Chen, Fan Yang, Xunliang Cai:
From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding. CoRR abs/2106.06228 (2021) - [i1]Yantao Gong, Cao Liu, Jiazhen Yuan, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Ruiyao Niu, Houfeng Wang:
Density-Based Dynamic Curriculum Learning for Intent Detection. CoRR abs/2108.10674 (2021)
Coauthor Index
[c47] [c40] [c39] [c36] [c33] [c32] [c31] [i94] [i92] [i90] [i89] [i85] [i84] [i82] [i80] [i74] [i73] [i64] [i63] [i62] [i61] [i58] [i56] [i53] [i52] [i50] [i49] [i42] [c29] [c28] [c27] [c25] [c23] [c21] [c18] [c17] [i34] [i33] [i31] [i28] [i26] [i25] [i24] [i22] [i20] [i18] [i17] [i14] [i13] [i11] [i10] [i8] [c16] [c15] [c14] [c13] [i7] [i6] [i5] [i4]
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