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2020 – today
- 2024
[c26]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- [c25]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 - [c24]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 - [c23]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 - [c22]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 - [c21]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 - [c20]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 - [c19]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 - [c18]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 - [c17]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 - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]Hui Su, Zhi Tian, Xiaoyu Shen, Xunliang Cai:
Unraveling the Mystery of Scaling Laws: Part I. CoRR abs/2403.06563 (2024) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]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) - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]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) - 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)
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