Xunliang Cai

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 39

Top Topics

Knowledge Transfer

Metropolis Hastings

Top Venues

EMNLP (Findings)

Publications

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 (2024)
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 (2024)
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 (2024)
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)
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)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
Zhuocheng Gong, Jiahao Liu, Ziyue Wang, Pengfei Wu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan
Graph-Structured Speculative Decoding. CoRR (2024)
Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai
Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism. CoRR (2024)
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)
Hui Su, Zhi Tian, Xiaoyu Shen, Xunliang Cai
Unraveling the Mystery of Scaling Laws: Part I. CoRR (2024)
Zhuocheng Gong, Jiahao Liu, Ziyue Wang, Pengfei Wu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan
Graph-Structured Speculative Decoding. ACL (Findings) (2024)
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)
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 (2024)
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)
Xun Jiang, Zhiguo Chen, Xing Xu, Fumin Shen, Zuo Cao, Xunliang Cai
Progressive Event Alignment Network for Partial Relevant Video Retrieval. ICME (2023)
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)
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 (2023)
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)
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 (2023)
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 (2023)
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 (2023)
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)
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)
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)
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)
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)
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 (2022)
Kai Wang, Yifan Wang, Xing Xu, Zuo Cao, Xunliang Cai
Instance-Level Semantic Alignment for Zero-Shot Cross-Modal Retrieval. ICME (2022)
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)
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)
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 (2021)
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)
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)
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)
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 (2021)
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)