Xunliang Cai - RankMe

192 papers A* 21A 4B 1Journal 133Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations. CoRR Cheng Jiayang, Dongyu Ru, Lin Qiu, Yiyang Li, Xuezhi Cao, Yangqiu Song, Xunliang Cai
2026	J	`jnl`	AgentNoiseBench: Benchmarking Robustness of Tool-Using LLM Agents Under Noisy Condition. CoRR Ruipeng Wang, Yuxin Chen, Yukai Wang, Chang Wu, Junfeng Fang, Xiaodong Cai, Qi Gu, Hui Su, An Zhang, Xiang Wang, Xunliang Cai, Tat-Seng Chua
2026	J	`jnl`	AutothinkRAG: Complexity-Aware Control of Retrieval-Augmented Reasoning for Image-Text Interaction. CoRR Jiashu Yang, Chi Zhang, Abudukelimu Wuerkaixi, Xuxin Cheng, Cao Liu, Ke Zeng, Xu Jia, Xunliang Cai
2026	J	`jnl`	BAPO: Boundary-Aware Policy Optimization for Reliable Agentic Search. CoRR Shiyu Liu, Yongjing Yin, Jianhao Yan, Yunbo Tang, Qinggang Zhang, Bei Li, Xin Chen, Jingang Wang, Xunliang Cai, Jinsong Su
2026	J	`jnl`	Can RL Improve Generalization of LLM Agents? An Empirical Study. CoRR Zhiheng Xi, Xin Guo, Jiaqi Liu, Jiazheng Zhang, Yutao Fan, Zhihao Zhang, Shichun Liu, Mingxu Chai, Xiaowei Shi, Yitao Zhai, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang
2026	J	`jnl`	Causal Autoregressive Diffusion Language Model. CoRR Junhao Ruan, Bei Li, Yongjing Yin, Pengcheng Huang, Xin Chen, Jingang Wang, Xunliang Cai, Tong Xiao, Jingbo Zhu
2026	J	`jnl`	CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs. CoRR Zhiyuan Yao, Yi-Kai Zhang, Yuxin Chen, Yueqing Sun, Zishan Xu, Yu Yang, Tianhao Hu, Qi Gu, Hui Su, Xunliang Cai
2026	J	`jnl`	DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding. CoRR Jiaming Zhou, Xuxin Cheng, Shiwan Zhao, Yuhang Jia, Cao Liu, Ke Zeng, Xunliang Cai, Yong Qin
2026	J	`jnl`	EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience. CoRR Taofeng Xue, Chong Peng, Mianqiu Huang, Linsen Guo, Tiancheng Han, Haozhe Wang, Jianing Wang, Xiaocheng Zhang, Xin Yang, Dengchang Zhao, Jinrui Ding, Xiandi Ma, Yuchen Xie, Peng Pei, Xunliang Cai, Xipeng Qiu
2026	J	`jnl`	Exploring Reasoning Reward Model for Agents. CoRR Kaixuan Fan, Kaituo Feng, Manyuan Zhang, Tianshuo Peng, Zhixun Li, Yilei Jiang, Shuang Chen, Peng Pei, Xunliang Cai, Xiangyu Yue
2026	J	`jnl`	Fast Catch-Up, Late Switching: Optimal Batch Size Scheduling via Functional Scaling Laws. CoRR Jinbo Wang, Binghui Li, Zhanpeng Zhou, Mingze Wang, Yuxuan Sun, Jiaqi Zhang, Xunliang Cai, Lei Wu
2026	J	`jnl`	Harmonizing Dense and Sparse Signals in Multi-turn RL: Dual-Horizon Credit Assignment for Industrial Sales Agents. CoRR Haojin Yang, Ai Jian, Xinyue Huang, Yiwei Wang, Weipeng Zhang, Ke Zeng, Xunliang Cai, Jingqing Ruan
2026	J	`jnl`	How to Allocate, How to Learn? Dynamic Rollout Allocation and Advantage Modulation for Policy Optimization. CoRR Yangyi Fang, Jiaye Lin, Xiaoliang Fu, Cong Qin, Haolin Shi, Chaowen Hu, Lu Pan, Ke Zeng, Xunliang Cai
2026	J	`jnl`	Infinite-World: Scaling Interactive World Models to 1000-Frame Horizons via Pose-Free Hierarchical Memory. CoRR Ruiqi Wu, Xuanhua He, Cheng Meng, Tianyu Yang, Yong Zhang, Zhuoliang Kang, Xunliang Cai, Xiaoming Wei, Chunle Guo, Chongyi Li, Ming-Ming Cheng
2026	J	`jnl`	Learning to Self-Verify Makes Language Models Better Reasoners. CoRR Yuxin Chen, Yu Wang, Yi Zhang, Ziang Ye, Zhengzhou Cai, Yaorui Shi, Qi Gu, Hui Su, Xunliang Cai, Xiang Wang, An Zhang, Tat-Seng Chua
2026	J	`jnl`	LongCat-AudioDiT: High-Fidelity Diffusion Text-to-Speech in the Waveform Latent Space. CoRR Detai Xin, Shujie Hu, Chengzuo Yang, Chen Huang, Guoqiao Yu, Guanglu Wan, Xunliang Cai
2026	J	`jnl`	LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning. CoRR Jianing Wang, Jianfei Zhang, Qi Guo, Linsen Guo, Rumei Li, Chao Zhang, Chong Peng, Cunguang Wang, Dengchang Zhao, Jiarong Shi, Jingang Wang, Liulin Feng, Mengxia Shen, Qi Li, Shengnan An, Shun Wang, Wei Shi, Xiangyu Xi, Xiaoyu Li, Xuezhi Cao, Yi Lu, Yunke Zhao, Zhengyu Chen, Zhimin Lin, Wei Wang, Peng Pei, Xunliang Cai
2026	J	`jnl`	MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning. CoRR Xiaoliang Fu, Jiaye Lin, Yangyi Fang, Binbin Zheng, Chaowen Hu, Zekai Shao, Cong Qin, Lu Pan, Ke Zeng, Xunliang Cai
2026	J	`jnl`	MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning. CoRR Yaorui Shi, Shugui Liu, Yu Yang, Wenyu Mao, Yuxin Chen, Qi Gu, Hui Su, Xunliang Cai, Xiang Wang, An Zhang
2026	J	`jnl`	Reflecting Twice before Speaking with Empathy: Self-Reflective Alternating Inference for Empathy-Aware End-to-End Spoken Dialogue. CoRR Yuhang Jia, Pei Liu, Haoqin Sun, Jiaming Zhou, Xuxin Cheng, Cao Liu, Ke Zeng, Xunliang Cai, Yong Qin
2026	A*	`conf`	Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective. AAAI Deyang Kong, Qi Guo, Xiangyu Xi, Wei Wang, Jingang Wang, Xunliang Cai, Shikun Zhang, Wei Ye
2026	J	`jnl`	ScaleEnv: Scaling Environment Synthesis from Scratch for Generalist Interactive Tool-Use Agent Training. CoRR Dunwei Tu, Hongyan Hao, Hansi Yang, Yihao Chen, Yi-Kai Zhang, Zhikang Xia, Yu Yang, Yueqing Sun, Xingchen Liu, Furao Shen, Qi Gu, Hui Su, Xunliang Cai
2026	J	`jnl`	Scaling Embeddings Outperforms Scaling Experts in Language Models. CoRR Hong Liu, Jiaqi Zhang, Chao Wang, Xing Hu, Linkun Lyu, Jiaqi Sun, Xurui Yang, Bo Wang, Fengcun Li, YuLei Qian, Lingtong Si, Yerui Sun, Rumei Li, Peng Pei, Yuchen Xie, Xunliang Cai
2026	A*	`conf`	Scaling and Transferability of Annealing Strategies in Large Language Model Training. AAAI Siqi Wang, Zhengyu Chen, Teng Xiao, Zheqi Lv, Jinluan Yang, Xunliang Cai, Jingang Wang, Xiaomeng Li
2026	J	`jnl`	SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining. CoRR Yifan Zhang, Zunhai Su, Shuhao Hu, Rui Yang, Wei Wu, YuLei Qian, Yuchen Xie, Xunliang Cai
2026	J	`jnl`	SpanNorm: Reconciling Training Stability and Performance in Deep Transformers. CoRR Chao Wang, Bei Li, Jiaqi Zhang, Xinyu Liu, Yuchun Fan, Linkun Lyu, Xin Chen, Jingang Wang, Tong Xiao, Peng Pei, Xunliang Cai
2026	J	`jnl`	TRUST-SQL: Tool-Integrated Multi-Turn Reinforcement Learning for Text-to-SQL over Unknown Schemas. CoRR Ai Jian, Xiaoyun Zhang, Wanrou Du, Jingqing Ruan, Jiangbo Pei, Weipeng Zhang, Ke Zeng, Xunliang Cai
2026	J	`jnl`	TopoCurate:Modeling Interaction Topology for Tool-Use Agent Training. CoRR Jinluan Yang, Yuxin Liu, Zhengyu Chen, Chengcheng Han, Yueqing Sun, Qi Gu, Hui Su, Xunliang Cai, Fei Wu, Kun Kuang
2026	J	`jnl`	Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO. CoRR Xin Yang, Letian Li, Abudukelimu Wuerkaixi, Xuxin Cheng, Cao Liu, Ke Zeng, Xunliang Cai, Wenyuan Jiang
2026	J	`jnl`	Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text. CoRR Zhihao Xu, Rumei Li, Jiahuan Li, Rongxiang Weng, Jingang Wang, Xunliang Cai, Xiting Wang
2026	J	`jnl`	V CoRR Yi-Kai Zhang, Zhiyuan Yao, Hongyan Hao, Yueqing Sun, Qi Gu, Hui Su, Xunliang Cai, De-Chuan Zhan, Han-Jia Ye
2026	J	`jnl`	V CoRR Yi-Kai Zhang, Yueqing Sun, Hongyan Hao, Qi Gu, Xunliang Cai, De-Chuan Zhan, Han-Jia Ye
2025	J	`jnl`	A Preliminary Study on the Promises and Challenges of Native Top- CoRR Di Xiu, Hongyin Tang, Bolin Rong, Lizhi Yan, Jingang Wang, Yifan Lu, Xunliang Cai
2025	—	`conf`	A Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy. EMNLP (Industry Track) Xiaoyun Zhang, Jingqing Ruan, Xing Ma, Yawen Zhu, Jiansong Chen, Ke Zeng, Xunliang Cai
2025	J	`jnl`	A Survey on LLM Mid-training. CoRR Chengying Tu, Xuemiao Zhang, Rongxiang Weng, Rumei Li, Chen Zhang, Yang Bai, Hongfei Yan, Jingang Wang, Xunliang Cai
2025	J	`jnl`	AFA-LoRA: Enabling Non-Linear Adaptations in LoRA with Activation Function Annealing. CoRR Jiacheng Li, Jianchao Tan, Zhidong Yang, Feiye Huo, Yerui Sun, Yuchen Xie, Xunliang Cai
2025	J	`jnl`	AMO-Bench: Large Language Models Still Struggle in High School Math Competitions. CoRR Shengnan An, Xunliang Cai, Xuezhi Cao, Xiaoyu Li, Yehao Lin, Junlin Liu, Xinxuan Lv, Dan Ma, Xuanlin Wang, Ziwen Wang, Shuang Zhou
2025	—	`conf`	AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models. ACL (Findings) Qi Liu, Jingqing Ruan, Hao Li, Haodong Zhao, Desheng Wang, Jiansong Chen, Guanglu Wan, Xunliang Cai, Zhi Zheng, Tong Xu
2025	J	`jnl`	AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models. CoRR Qi Liu, Jingqing Ruan, Hao Li, Haodong Zhao, Desheng Wang, Jiansong Chen, Guanglu Wan, Xunliang Cai, Zhi Zheng, Tong Xu
2025	J	`jnl`	Accelerate Speculative Decoding with Sparse Computation in Verification. CoRR Jikai Wang, Jianchao Tan, Yuxuan Hu, Jiayu Qin, Yerui Sun, Yuchen Xie, Xunliang Cai, Juntao Li, Min Zhang
2025	A*	`conf`	AgentRefine: Enhancing Agent Generalization through Refinement Tuning. ICLR Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu
2025	J	`jnl`	AgentRefine: Enhancing Agent Generalization through Refinement Tuning. CoRR Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu
2025	J	`jnl`	Architecture Decoupling Is Not All You Need For Unified Multimodal Model. CoRR Dian Zheng, Manyuan Zhang, Hongyu Li, Kai Zou, Hongbo Liu, Ziyu Guo, Kaituo Feng, Yexin Liu, Ying Luo, Yan Feng, Peng Pei, Xunliang Cai, Hongsheng Li
2025	J	`jnl`	Audio Turing Test: Benchmarking the Human-likeness of Large Language Model-based Text-to-Speech Systems in Chinese. CoRR Xihuai Wang, Ziyi Zhao, Siyu Ren, Shao Zhang, Song Li, Xiaoyu Li, Ziwen Wang, Lin Qiu, Guanglu Wan, Xuezhi Cao, Xunliang Cai, Weinan Zhang
2025	J	`jnl`	Autoformalizer with Tool Feedback. CoRR Qi Guo, Jianing Wang, Jianfei Zhang, Deyang Kong, Xiangzhou Huang, Xiangyu Xi, Wei Wang, Jingang Wang, Xunliang Cai, Shikun Zhang, Wei Ye
2025	J	`jnl`	Automatically Benchmarking LLM Code Agents through Agent-Driven Annotation and Evaluation. CoRR Lingyue Fu, Bolun Zhang, Hao Guan, Yaoming Zhu, Lin Qiu, Weiwen Liu, Xuezhi Cao, Xunliang Cai, Weinan Zhang, Yong Yu
2025	J	`jnl`	C2T: A Classifier-Based Tree Construction Method in Speculative Decoding. CoRR Feiye Huo, Jianchao Tan, Kefeng Zhang, Xunliang Cai, Shengli Sun
2025	J	`jnl`	CATArena: Evaluation of LLM Agents through Iterative Tournament Competitions. CoRR Lingyue Fu, Xin Ding, Yaoming Zhu, Shao Zhang, Lin Qiu, Weiwen Liu, Weinan Zhang, Xuezhi Cao, Xunliang Cai, Jiaxin Ding, Yong Yu
2025	J	`jnl`	CodePlot-CoT: Mathematical Visual Reasoning by Thinking with Code-Driven Images. CoRR 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
2025	J	`jnl`	CoreCodeBench: A Configurable Multi-Scenario Repository-Level Benchmark. CoRR 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
2025	J	`jnl`	Counteracting Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing. CoRR Xin Guo, Zhiheng Xi, Yiwen Ding, Yitao Zhai, Xiaowei Shi, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang
2025	J	`jnl`	Do Large Language Models Excel in Complex Logical Reasoning with Formal Language? CoRR Jin Jiang, Jianing Wang, Yuchen Yan, Yang Liu, Jianhua Zhu, Mengdi Zhang, Xunliang Cai, Liangcai Gao
2025	—	`conf`	Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning. ACL (1) Yongquan He, Wenyuan Zhang, Xuancheng Huang, Peng Zhang, Lingxun Meng, Xiang Zhou, Ke Zeng, Xunliang Cai
2025	—	`conf`	Dynamic Fisher-weighted Model Merging via Bayesian Optimization. NAACL (Long Papers) Sanwoo Lee, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Yunfang Wu
2025	J	`jnl`	Dynamic Fisher-weighted Model Merging via Bayesian Optimization. CoRR Sanwoo Lee, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Yunfang Wu
2025	A*	`conf`	Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective. ICLR Ruichen Shao, Bei Li, Gangao Liu, Yang Chen, ZhouXiang, Jingang Wang, Xunliang Cai, Peng Li
2025	J	`jnl`	Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective. CoRR Ruichen Shao, Bei Li, Gangao Liu, Yang Chen, Xiang Zhou, Jingang Wang, Xunliang Cai, Peng Li
2025	J	`jnl`	EditThinker: Unlocking Iterative Reasoning for Any Image Editor. CoRR Hongyu Li, Manyuan Zhang, Dian Zheng, Ziyu Guo, Yimeng Jia, Kaituo Feng, Hao Yu, Yexin Liu, Yan Feng, Peng Pei, Xunliang Cai, Linjiang Huang, Hongsheng Li, Si Liu
2025	J	`jnl`	Efficient Context Scaling with LongCat ZigZag Attention. CoRR Chen Zhang, Yang Bai, Jiahuan Li, Anchun Gui, Keheng Wang, Feifan Liu, Guanyu Wu, Yuwei Jiang, Defei Bu, Li Wei, Haihang Jing, Hongyin Tang, Xin Chen, Xiangzhou Huang, Fengcun Li, Rongxiang Weng, YuLei Qian, Yifan Lu, Yerui Sun, Jingang Wang, Yuchen Xie, Xunliang Cai
2025	A*	`conf`	Enhancing LLMs via High-Knowledge Data Selection. AAAI Feiyu Duan, Xuemiao Zhang, Sirui Wang, Haoran Que, Yuqi Liu, Wenge Rong, Xunliang Cai
2025	J	`jnl`	Enhancing LLMs via High-Knowledge Data Selection. CoRR Feiyu Duan, Xuemiao Zhang, Sirui Wang, Haoran Que, Yuqi Liu, Wenge Rong, Xunliang Cai
2025	J	`jnl`	Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns. CoRR Xuemiao Zhang, Can Ren, Chengying Tu, Rongxiang Weng, Shuo Wang, Hongfei Yan, Jingang Wang, Xunliang Cai
2025	J	`jnl`	FIRE: Flexible Integration of Data Quality Ratings for Effective Pre-Training. CoRR Liangyu Xu, Xuemiao Zhang, Feiyu Duan, Sirui Wang, Jingang Wang, Xunliang Cai
2025	A*	`conf`	FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining. EMNLP Liangyu Xu, Xuemiao Zhang, Feiyu Duan, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai
2025	—	`conf`	FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy. ACL (Findings) Xuemiao Zhang, Feiyu Duan, Liangyu Xu, Yongwei Zhou, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai
2025	J	`jnl`	FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy. CoRR Xuemiao Zhang, Feiyu Duan, Liangyu Xu, Yongwei Zhou, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai
2025	J	`jnl`	Friend or Foe: How LLMs' Safety Mind Gets Fooled by Intent Shift Attack. CoRR Peng Ding, Jun Kuang, Wen Sun, Zongyu Wang, Xuezhi Cao, Xunliang Cai, Jiajun Chen, Shujian Huang
2025	J	`jnl`	GradPower: Powering Gradients for Faster Language Model Pre-Training. CoRR Mingze Wang, Jinbo Wang, Jiaqi Zhang, Wei Wang, Peng Pei, Xunliang Cai, Weinan E, Lei Wu
2025	J	`jnl`	Higher Satisfaction, Lower Cost: A Technical Report on How LLMs Revolutionize Meituan's Intelligent Interaction Systems. CoRR 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
2025	J	`jnl`	InfiniteTalk: Audio-driven Video Generation for Sparse-Frame Video Dubbing. CoRR Shaoshu Yang, Zhe Kong, Feng Gao, Meng Cheng, Xiangyu Liu, Yong Zhang, Zhuoliang Kang, Wenhan Luo, Xunliang Cai, Ran He, Xiaoming Wei
2025	—	`conf`	Instance-level Randomization: Toward More Stable LLM Evaluations. EMNLP (Findings) Yiyang Li, Yonghuang Wu, Ying Luo, Liangtai Sun, Zishu Qin, Lin Qiu, Xuezhi Cao, Xunliang Cai
2025	J	`jnl`	Instance-level Randomization: Toward More Stable LLM Evaluations. CoRR Yiyang Li, Yonghuang Wu, Ying Luo, Liangtai Sun, Zishu Qin, Lin Qiu, Xuezhi Cao, Xunliang Cai
2025	J	`jnl`	LLIA - Enabling Low-Latency Interactive Avatars: Real-Time Audio-Driven Portrait Video Generation with Diffusion Models. CoRR Haojie Yu, Zhaonian Wang, Yihan Pan, Meng Cheng, Hao Yang, Chao Wang, Tao Xie, Xiaoming Xu, Xiaoming Wei, Xunliang Cai
2025	B	`conf`	LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation. COLING Keheng Wang, Feiyu Duan, Peiguang Li, Sirui Wang, Xunliang Cai
2025	J	`jnl`	Large-Scale Diverse Synthesis for Mid-Training. CoRR Xuemiao Zhang, Chengying Tu, Can Ren, Rongxiang Weng, Hongfei Yan, Jingang Wang, Xunliang Cai
2025	J	`jnl`	Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation. CoRR Zhe Kong, Feng Gao, Yong Zhang, Zhuoliang Kang, Xiaoming Wei, Xunliang Cai, Guanying Chen, Wenhan Luo
2025	—	`conf`	Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration. ACL (1) 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
2025	J	`jnl`	Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration. CoRR 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
2025	—	`conf`	Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning. EMNLP (Findings) Jizhi Zhang, Chongming Gao, Wentao Shi, Xi-Lin Chen, Jingang Wang, Xunliang Cai, Fuli Feng
2025	J	`jnl`	Libra: Assessing and Improving Reward Model by Learning to Think. CoRR Meng Zhou, Bei Li, Jiahao Liu, Xiaowen Shi, Yang Bai, Rongxiang Weng, Jingang Wang, Xunliang Cai
2025	J	`jnl`	LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points. CoRR Xuemiao Zhang, Can Ren, Chengying Tu, Rongxiang Weng, Hongfei Yan, Jingang Wang, Xunliang Cai
2025	—	`conf`	LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning. ACL (1) Jin Jiang, Yuchen Yan, Yang Liu, Jianing Wang, Shuai Peng, Xunliang Cai, Yixin Cao, Mengdi Zhang, Liangcai Gao
2025	J	`jnl`	LongCat-Image Technical Report. CoRR Hanghang Ma, Haoxian Tan, Jiale Huang, Junqiang Wu, Jun-Yan He, Lishuai Gao, Songlin Xiao, Xiaoming Wei, Xiaoqi Ma, Xunliang Cai, Yayong Guan, Jie Hu
2025	J	`jnl`	LongCat-Video Technical Report. CoRR Xunliang Cai, Qilong Huang, Zhuoliang Kang, Hongyu Li, Shijun Liang, Liya Ma, Siyu Ren, Xiaoming Wei, Rixu Xie, Tong Zhang
2025	J	`jnl`	MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool use. CoRR Weikang Zhao, Xili Wang, Chengdi Ma, Lingbin Kong, Zhaohua Yang, Mingxiang Tuo, Xiaowei Shi, Yitao Zhai, Xunliang Cai
2025	A*	`conf`	MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models. EMNLP Siyu Yan, Long Zeng, Xuecheng Wu, Chengcheng Han, Kongcheng Zhang, Chong Peng, Xuezhi Cao, Xunliang Cai, Chenjuan Guo
2025	J	`jnl`	MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models. CoRR Siyu Yan, Long Zeng, Xuecheng Wu, Chengcheng Han, Kongcheng Zhang, Chong Peng, Xuezhi Cao, Xunliang Cai, Chenjuan Guo
2025	J	`jnl`	Making Mathematical Reasoning Adaptive. CoRR Zhejian Lai, Xiang Geng, Zhijun Wang, Yang Bai, Jiahuan Li, Rongxiang Weng, Jingang Wang, Xuezhi Cao, Xunliang Cai, Shujian Huang
2025	J	`jnl`	MaskPrune: Mask-based LLM Pruning for Layer-wise Uniform Structures. CoRR Jiayu Qin, Jianchao Tan, Kefeng Zhang, Xunliang Cai, Wei Wang
2025	—	`conf`	Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling. NAACL (Long Papers) Yiwen Ding, Zhiheng Xi, Wei He, Lizhuoyuan Lizhuoyuan, Yitao Zhai, Shi Xiaowei, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang
2025	J	`jnl`	MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models. CoRR Hongyu Wang, Jiayu Xu, Ruiping Wang, Yan Feng, Yitao Zhai, Peng Pei, Xunliang Cai, Xilin Chen
2025	—	`conf`	Multi-Programming Language Sandbox for LLMs. ACL (3) Shihan Dou, Jiazheng Zhang, Jianxiang Zang, Yunbo Tao, Weikang Zhou, Haoxiang Jia, Shichun Liu, Yuming Yang, Shenxi Wu, Zhiheng Xi, Muling Wu, Rui Zheng, Changze Lv, Limao Xiong, Shaoqing Zhang, Lin Zhang, WenYu Zhan, Rongxiang Weng, Jingang Wang, Xunliang Cai, Yueming Wu, Ming Wen, Yixin Cao, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang
2025	J	`jnl`	NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables. CoRR Lanrui Wang, Mingyu Zheng, Hongyin Tang, Zheng Lin, Yanan Cao, Jingang Wang, Xunliang Cai, Weiping Wang
2025	J	`jnl`	OIBench: Benchmarking Strong Reasoning Models with Olympiad in Informatics. CoRR Yaoming Zhu, Junxin Wang, Yiyang Li, Lin Qiu, Zongyu Wang, Jun Xu, Xuezhi Cao, Yuhuai Wei, Mingshi Wang, Xunliang Cai, Rong Ma
2025	J	`jnl`	OneCAT: Decoder-Only Auto-Regressive Model for Unified Understanding and Generation. CoRR Han Li, Xinyu Peng, Yaoming Wang, Zelin Peng, Xin Chen, Rongxiang Weng, Jingang Wang, Xunliang Cai, Wenrui Dai, Hongkai Xiong
2025	J	`jnl`	OneThinker: All-in-one Reasoning Model for Image and Video. CoRR Kaituo Feng, Manyuan Zhang, Hongyu Li, Kaixuan Fan, Shuang Chen, Yilei Jiang, Dian Zheng, Peiwen Sun, Yiyuan Zhang, Haoze Sun, Yan Feng, Peng Pei, Xunliang Cai, Xiangyu Yue
2025	J	`jnl`	OpenSubject: Leveraging Video-Derived Identity and Diversity Priors for Subject-driven Image Generation and Manipulation. CoRR Yexin Liu, Manyuan Zhang, Yueze Wang, Hongyu Li, Dian Zheng, Weiming Zhang, Changsheng Lu, Xunliang Cai, Yan Feng, Peng Pei, Harry Yang
2025	J	`jnl`	Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies. CoRR Yuxuan Hu, Jianchao Tan, Jiaqi Zhang, Wen Zan, Pingwei Sun, Yifan Lu, Yerui Sun, Yuchen Xie, Xunliang Cai, Jing Zhang
2025	J	`jnl`	PaTaRM: Bridging Pairwise and Pointwise Signals via Preference-Aware Task-Adaptive Reward Modeling. CoRR Ai Jian, Jingqing Ruan, Xing Ma, Dailin Li, Qianlin Zhou, Ke Zeng, Xunliang Cai
2025	—	`conf`	Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data. ACL (Findings) Xuemiao Zhang, Liangyu Xu, Feiyu Duan, Yongwei Zhou, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai
2025	J	`jnl`	Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data. CoRR Xuemiao Zhang, Liangyu Xu, Feiyu Duan, Yongwei Zhou, Sirui Wang, Jingang Wang, Xunliang Cai
2025	—	`conf`	Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning. EMNLP (Findings) Jianing Wang, Jin Jiang, Yang Liu, Mengdi Zhang, Xunliang Cai
2025	J	`jnl`	Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning. CoRR Jianing Wang, Jin Jiang, Yang Liu, Mengdi Zhang, Xunliang Cai
2025	J	`jnl`	R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth? CoRR Yi Lu, Jianing Wang, Linsen Guo, Wei He, Hongyin Tang, Tao Gui, Xuanjing Huang, Xuezhi Cao, Wei Wang, Xunliang Cai
2025	—	`conf`	ReMamba: Equip Mamba with Effective Long-Sequence Modeling. EMNLP (Findings) Danlong Yuan, Jiahao Liu, Bei Li, Huishuai Zhang, Jingang Wang, Xunliang Cai, Dongyan Zhao
2025	J	`jnl`	Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy. CoRR Xiaoyun Zhang, Jingqing Ruan, Xing Ma, Yawen Zhu, Jiansong Chen, Ke Zeng, Xunliang Cai
2025	J	`jnl`	Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective. CoRR Deyang Kong, Qi Guo, Xiangyu Xi, Wei Wang, Jingang Wang, Xunliang Cai, Shikun Zhang, Wei Ye
2025	—	`conf`	Revisit Self-Debugging with Self-Generated Tests for Code Generation. ACL (1) Xiancai Chen, Zhengwei Tao, Kechi Zhang, Changzhi Zhou, Xinyu Zhang, Wanli Gu, Yuanpeng He, Mengdi Zhang, Xunliang Cai, Haiyan Zhao, Zhi Jin
2025	J	`jnl`	Revisit Self-Debugging with Self-Generated Tests for Code Generation. CoRR Xiancai Chen, Zhengwei Tao, Kechi Zhang, Changzhi Zhou, Wanli Gu, Yuanpeng He, Mengdi Zhang, Xunliang Cai, Haiyan Zhao, Zhi Jin
2025	—	`conf`	Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies. ACL (1) Zhengyu Chen, Siqi Wang, Teng Xiao, Yudong Wang, Shiqi Chen, Xunliang Cai, Junxian He, Jingang Wang
2025	A*	`conf`	SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models. AAAI Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu
2025	A*	`conf`	S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners. AAAI Yuchen Yan, Jin Jiang, Yang Liu, Yixin Cao, Xin Xu, Mengdi Zhang, Xunliang Cai, Jian Shao
2025	J	`jnl`	SampleMix: A Sample-wise Pre-training Data Mixing Strategey by Coordinating Data Quality and Diversity. CoRR Xiangyu Xi, Deyang Kong, Jian Yang, Jiawei Yang, Zhengyu Chen, Wei Wang, Jingang Wang, Xunliang Cai, Shikun Zhang, Wei Ye
2025	—	`conf`	SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity. EMNLP (Findings) Xiangyu Xi, Deyang Kong, Jian Yang, Jiawei Yang, Zhengyu Chen, Wei Wang, Jingang Wang, Xunliang Cai, Shikun Zhang, Wei Ye
2025	J	`jnl`	Scaling and Transferability of Annealing Strategies in Large Language Model Training. CoRR Siqi Wang, Zhengyu Chen, Teng Xiao, Zheqi Lv, Jinluan Yang, Xunliang Cai, Jingang Wang, Xiaomeng Li
2025	J	`jnl`	Stop Spinning Wheels: Mitigating LLM Overthinking via Mining Patterns for Early Reasoning Exit. CoRR Zihao Wei, Liang Pang, Jiahao Liu, Jingcheng Deng, Shicheng Xu, Zenghao Duan, Jingang Wang, Fei Sun, Xunliang Cai, Huawei Shen, Xueqi Cheng
2025	J	`jnl`	Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs. CoRR Zhengyu Chen, Siqi Wang, Teng Xiao, Yudong Wang, Shiqi Chen, Xunliang Cai, Junxian He, Jingang Wang
2025	—	`conf`	The Role of Visual Modality in Multimodal Mathematical Reasoning: Challenges and Insights. ACL (1) Yufang Liu, Yao Du, Tao Ji, Jianing Wang, Yang Liu, Yuanbin Wu, Aimin Zhou, Mengdi Zhang, Xunliang Cai
2025	J	`jnl`	The Role of Visual Modality in Multimodal Mathematical Reasoning: Challenges and Insights. CoRR Yufang Liu, Yao Du, Tao Ji, Jianing Wang, Yang Liu, Yuanbin Wu, Aimin Zhou, Mengdi Zhang, Xunliang Cai
2025	J	`jnl`	Think with 3D: Geometric Imagination Grounded Spatial Reasoning from Limited Views. CoRR Zhangquan Chen, Manyuan Zhang, Xinlei Yu, Xufang Luo, Mingze Sun, Zihao Pan, Yan Feng, Peng Pei, Xunliang Cai, Ruqi Huang
2025	A*	`conf`	Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs. EMNLP Hexiang Tan, Fei Sun, Sha Liu, Du Su, Qi Cao, Xin Chen, Jingang Wang, Xunliang Cai, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng
2025	J	`jnl`	Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs. CoRR Hexiang Tan, Fei Sun, Sha Liu, Du Su, Qi Cao, Xin Chen, Jingang Wang, Xunliang Cai, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng
2025	J	`jnl`	UNO-Bench: A Unified Benchmark for Exploring the Compositional Law Between Uni-modal and Omni-modal in Omni Models. CoRR Chen Chen, Zeyang Hu, Fengjiao Chen, Liya Ma, Jiaxing Liu, Xiaoyu Li, Ziwen Wang, Xuezhi Cao, Xunliang Cai
2025	J	`jnl`	VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-world Applications. CoRR 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
2025	J	`jnl`	WISCA: A Lightweight Model Transition Method to Improve LLM Training via Weight Scaling. CoRR 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
2025	—	`conf`	When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning. EMNLP (Findings) Xiaoyun Zhang, Jingqing Ruan, Xing Ma, Yawen Zhu, Haodong Zhao, Hao Li, Jiansong Chen, Ke Zeng, Xunliang Cai
2025	J	`jnl`	When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning. CoRR Xiaoyun Zhang, Jingqing Ruan, Xing Ma, Yawen Zhu, Haodong Zhao, Hao Li, Jiansong Chen, Ke Zeng, Xunliang Cai
2025	J	`jnl`	Who's the MVP? A Game-Theoretic Evaluation Benchmark for Modular Attribution in LLM Agents. CoRR 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
2025	—	`conf`	Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement. ACL (Findings) Peng Ding, Jun Kuang, Zongyu Wang, Xuezhi Cao, Xunliang Cai, Jiajun Chen, Shujian Huang
2025	J	`jnl`	Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement. CoRR Peng Ding, Jun Kuang, Zongyu Wang, Xuezhi Cao, Xunliang Cai, Jiajun Chen, Shujian Huang
2024	—	`conf`	Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. LREC/COLING Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2024	J	`jnl`	Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. CoRR Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2024	—	`conf`	DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. ACL (1) Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai
2024	J	`jnl`	DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. CoRR Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu
2024	J	`jnl`	EAGLE: Elevating Geometric Reasoning through LLM-empowered Visual Instruction Tuning. CoRR Zhihao Li, Yao Du, Yang Liu, Yan Zhang, Yufang Liu, Mengdi Zhang, Xunliang Cai
2024	J	`jnl`	EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference. CoRR YuLei Qian, Fengcun Li, Xiangyang Ji, Xiaoyu Zhao, Jianchao Tan, Kefeng Zhang, Xunliang Cai
2024	J	`jnl`	Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision. CoRR 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
2024	—	`conf`	FIRP: Faster LLM Inference via Future Intermediate Representation Prediction. NLPCC (3) Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao
2024	J	`jnl`	FIRP: Faster LLM inference via future intermediate representation prediction. CoRR Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao
2024	—	`conf`	Graph-Structured Speculative Decoding. ACL (Findings) Zhuocheng Gong, Jiahao Liu, Ziyue Wang, Pengfei Wu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan
2024	J	`jnl`	Graph-Structured Speculative Decoding. CoRR Zhuocheng Gong, Jiahao Liu, Ziyue Wang, Pengfei Wu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan
2024	A*	`conf`	Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs. ACM Multimedia Peng Ding, Jingyu Wu, Jun Kuang, Dan Ma, Xuezhi Cao, Xunliang Cai, Shi Chen, Jiajun Chen, Shujian Huang
2024	J	`jnl`	Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs. CoRR Peng Ding, Jingyu Wu, Jun Kuang, Dan Ma, Xuezhi Cao, Xunliang Cai, Shi Chen, Jiajun Chen, Shujian Huang
2024	J	`jnl`	How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data. CoRR 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
2024	A*	`conf`	How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. EMNLP 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
2024	J	`jnl`	LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation. CoRR Keheng Wang, Feiyu Duan, Peiguang Li, Sirui Wang, Xunliang Cai
2024	—	`conf`	Learning or Self-aligning? Rethinking Instruction Fine-tuning. ACL (1) Mengjie Ren, Boxi Cao, Hongyu Lin, Cao Liu, Xianpei Han, Ke Zeng, Guanglu Wan, Xunliang Cai, Le Sun
2024	J	`jnl`	Learning or Self-aligning? Rethinking Instruction Fine-tuning. CoRR Mengjie Ren, Boxi Cao, Hongyu Lin, Cao Liu, Xianpei Han, Ke Zeng, Guanglu Wan, Xunliang Cai, Le Sun
2024	J	`jnl`	Length Desensitization in Directed Preference Optimization. CoRR Wei Liu, Yang Bai, Chengcheng Han, Rongxiang Weng, Jun Xu, Xuezhi Cao, Jingang Wang, Xunliang Cai
2024	J	`jnl`	LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning. CoRR Jin Jiang, Yuchen Yan, Yang Liu, Yonggang Jin, Shuai Peng, Mengdi Zhang, Xunliang Cai, Yixin Cao, Liangcai Gao, Zhi Tang
2024	J	`jnl`	Ltri-LLM: Streaming Long Context Inference for LLMs with Training-Free Dynamic Triangular Attention Pattern. CoRR Hongyin Tang, Di Xiu, Lanrui Wang, Xiurui Geng, Jingang Wang, Xunliang Cai
2024	J	`jnl`	Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling. CoRR Yiwen Ding, Zhiheng Xi, Wei He, Zhuoyuan Li, Yitao Zhai, Xiaowei Shi, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang
2024	J	`jnl`	Multi-Programming Language Sandbox for LLMs. CoRR 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
2024	A*	`conf`	Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation. EMNLP Ruotong Pan, Boxi Cao, Hongyu Lin, Xianpei Han, Jia Zheng, Sirui Wang, Xunliang Cai, Le Sun
2024	J	`jnl`	Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation. CoRR Ruotong Pan, Boxi Cao, Hongyu Lin, Xianpei Han, Jia Zheng, Sirui Wang, Xunliang Cai, Le Sun
2024	J	`jnl`	Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration. CoRR Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao
2024	—	`conf`	Pattern Shifting or Knowledge Losing? A Forgetting Perspective for Understanding the Effect of Instruction Fine-Tuning. CCL Chunkang Zhang, Boxi Cao, Yaojie Lu, Hongyu Lin, Liu Cao, Ke Zeng, Guanglu Wan, Xunliang Cai, Xianpei Han, Le Sun
2024	A*	`conf`	Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning. NeurIPS Bei Li, Tong Zheng, Rui Wang, Jiahao Liu, Qingyan Guo, Junliang Guo, Xu Tan, Tong Xiao, Jingbo Zhu, Jingang Wang, Xunliang Cai
2024	J	`jnl`	Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning. CoRR Bei Li, Tong Zheng, Rui Wang, Jiahao Liu, Qingyan Guo, Junliang Guo, Xu Tan, Tong Xiao, Jingbo Zhu, Jingang Wang, Xunliang Cai
2024	J	`jnl`	PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation. CoRR Ao Wang, Hui Chen, Jianchao Tan, Kefeng Zhang, Xunliang Cai, Zijia Lin, Jungong Han, Guiguang Ding
2024	J	`jnl`	ReMamba: Equip Mamba with Effective Long-Sequence Modeling. CoRR Danlong Yuan, Jiahao Liu, Bei Li, Huishuai Zhang, Jingang Wang, Xunliang Cai, Dongyan Zhao
2024	A*	`conf`	Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal. EMNLP Zhicong Lu, Li Jin, Peiguang Li, Yu Tian, Linhao Zhang, Sirui Wang, Guangluan Xu, Changyuan Tian, Xunliang Cai
2024	J	`jnl`	S CoRR Yuchen Yan, Jin Jiang, Yang Liu, Yixin Cao, Xin Xu, Mengdi Zhang, Xunliang Cai, Jian Shao
2024	J	`jnl`	SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models. CoRR Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu
2024	—	`conf`	Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism. ACL (Findings) Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai
2024	J	`jnl`	Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism. CoRR Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai
2024	J	`jnl`	Unraveling the Mystery of Scaling Laws: Part I. CoRR Hui Su, Zhi Tian, Xiaoyu Shen, Xunliang Cai
2024	A*	`conf`	What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation. AAAI Zhuocheng Gong, Jiahao Liu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan
2024	J	`jnl`	What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation. CoRR Zhuocheng Gong, Jiahao Liu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan
2024	J	`jnl`	What's Wrong with Your Code Generated by Large Language Models? An Extensive Study. CoRR 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
2023	—	`conf`	APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. EMNLP (Findings) Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	J	`jnl`	APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. CoRR Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	—	`conf`	Improving Input-label Mapping with Demonstration Replay for In-context Learning. EMNLP (Findings) Zhuocheng Gong, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan
2023	J	`jnl`	Improving Input-label Mapping with Demonstration Replay for In-context Learning. CoRR Zhuocheng Gong, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan
2023	A*	`conf`	Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. EMNLP Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	J	`jnl`	Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. CoRR Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	A	`conf`	Progressive Event Alignment Network for Partial Relevant Video Retrieval. ICME Xun Jiang, Zhiguo Chen, Xing Xu, Fumin Shen, Zuo Cao, Xunliang Cai
2023	—	`conf`	Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression. EMNLP (Findings) Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Wang, Rui Yan
2023	J	`jnl`	Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression. CoRR Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Lucien Wang, Rui Yan
2022	A*	`conf`	Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss. AAAI Yantao Gong, Cao Liu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Weipeng Zhang, Houfeng Wang
2022	J	`jnl`	Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss. CoRR Yantao Gong, Cao Liu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Weipeng Zhang, Houfeng Wang
2022	—	`conf`	Deep Graph Mutual Learning for Cross-domain Recommendation. DASFAA (2) Yifan Wang, Yongkang Li, Shuai Li, Weiping Song, Jiangke Fan, Shan Gao, Ling Ma, Bing Cheng, Xunliang Cai, Sheng Wang, Ming Zhang
2022	A*	`conf`	Dialogue Topic Segmentation via Parallel Extraction Network with Neighbor Smoothing. SIGIR Jinxiong Xia, Cao Liu, Jiansong Chen, Yuchen Li, Fan Yang, Xunliang Cai, Guanglu Wan, Houfeng Wang
2022	A	`conf`	GTLR: Graph-Based Transformer with Language Reconstruction for Video Paragraph Grounding. ICME Xun Jiang, Xing Xu, Jingran Zhang, Fumin Shen, Zuo Cao, Xunliang Cai
2022	A	`conf`	Instance-Level Semantic Alignment for Zero-Shot Cross-Modal Retrieval. ICME Kai Wang, Yifan Wang, Xing Xu, Zuo Cao, Xunliang Cai
2022	A*	`conf`	Structure-Aware Semantic-Aligned Network for Universal Cross-Domain Retrieval. SIGIR Jialin Tian, Xing Xu, Kai Wang, Zuo Cao, Xunliang Cai, Heng Tao Shen
2021	A	`conf`	Density-Based Dynamic Curriculum Learning for Intent Detection. CIKM Yantao Gong, Cao Liu, Jiazhen Yuan, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Ruiyao Niu, Houfeng Wang
2021	J	`jnl`	Density-Based Dynamic Curriculum Learning for Intent Detection. CoRR Yantao Gong, Cao Liu, Jiazhen Yuan, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Ruiyao Niu, Houfeng Wang
2021	A*	`conf`	Distant Supervision based Machine Reading Comprehension for Extractive Summarization in Customer Service. SIGIR Bing Ma, Cao Liu, Jingyu Wang, Shujie Hu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Jianxin Liao
2021	—	`conf`	Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks. EMNLP (1) Qingbin Liu, Pengfei Cao, Cao Liu, Jiansong Chen, Xunliang Cai, Fan Yang, Shizhu He, Kang Liu, Jun Zhao
2021	—	`conf`	From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding. ACL/IJCNLP (1) Shan Wu, Bo Chen, Chunlei Xin, Xianpei Han, Le Sun, Weipeng Zhang, Jiansong Chen, Fan Yang, Xunliang Cai
2021	J	`jnl`	From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding. CoRR Shan Wu, Bo Chen, Chunlei Xin, Xianpei Han, Le Sun, Weipeng Zhang, Jiansong Chen, Fan Yang, Xunliang Cai