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Books and Theses
- 2012
[b1]Lifeng Shang:
Facial expression analysis with graphical models. University of Hong Kong, 2012
Journal Articles
- 2023
- [j13]Lifeng Shang, Nan Zhang, Li Yang
, Lijun Shang:
Study of a Random Warranty Model Maintaining Fairness and a Random Replacement Next Model Sustaining Post-Warranty Reliability. Axioms 12(3): 258 (2023) - [j12]Yifei Xin, Baojun Wang, Lifeng Shang:
Cooperative Game Modeling With Weighted Token-Level Alignment for Audio-Text Retrieval. IEEE Signal Process. Lett. 30: 1317-1321 (2023) - 2021
- [j11]Xiaoqi Jiao, Huating Chang, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
Improving task-agnostic BERT distillation with layer mapping search. Neurocomputing 461: 194-203 (2021) - 2018
- [j10]Zhaohao Zeng, Cheng Luo, Lifeng Shang, Hang Li, Tetsuya Sakai:
Towards Automatic Evaluation of Customer-Helpdesk Dialogues. J. Inf. Process. 26: 768-778 (2018) - 2014
- [j9]Liuyang Zhou, Lifeng Shang, Hubert P. H. Shum, Howard Leung:
Human motion variation synthesis with multivariate Gaussian processes. Comput. Animat. Virtual Worlds 25(3-4): 303-311 (2014) - [j8]Weichen Zhang, Lifeng Shang, Antoni B. Chan:
A Robust Likelihood Function for 3D Human Pose Tracking. IEEE Trans. Image Process. 23(12): 5374-5389 (2014) - [j7]Liuyang Zhou, Zhiwu Lu, Howard Leung, Lifeng Shang:
Spatial temporal pyramid matching using temporal sparse representation for human motion retrieval. Vis. Comput. 30(6-8): 845-854 (2014) - 2009
- [j6]Lifeng Shang, Zhang Yi, Luping Ji:
Constrained ZIP code segmentation by a PCNN-based thinning algorithm. Neurocomputing 72(7-9): 1755-1762 (2009) - 2008
- [j5]Luping Ji, Zhang Yi, Lifeng Shang:
An improved pulse coupled neural network for image processing. Neural Comput. Appl. 17(3): 255-263 (2008) - 2007
- [j4]Lifeng Shang, Zhang Yi:
A class of binary images thinning using two PCNNs. Neurocomputing 70(4-6): 1096-1101 (2007) - [j3]Lifeng Shang, Zhang Yi, Luping Ji:
Binary Image Thinning Using Autowaves Generated by PCNN. Neural Process. Lett. 25(1): 49-62 (2007) - [j2]Luping Ji, Zhang Yi, Lifeng Shang, Xiaorong Pu:
Binary Fingerprint Image Thinning Using Template-Based PCNNs. IEEE Trans. Syst. Man Cybern. Part B 37(5): 1407-1413 (2007) - 2006
- [j1]Lifeng Shang, Jiancheng Lv, Zhang Yi:
Rigid medical image registration using PCA neural network. Neurocomputing 69(13-15): 1717-1722 (2006)
Conference and Workshop Papers
- 2024
- [c75]Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu:
Preparing Lessons for Progressive Training on Language Models. AAAI 2024: 18860-18868 - [c74]Renlong Jie, Xiaojun Meng, Lifeng Shang, Xin Jiang, Qun Liu:
Prompt-Based Length Controlled Generation with Multiple Control Types. ACL (Findings) 2024: 1067-1085 - [c73]Shijue Huang, Wanjun Zhong, Jianqiao Lu, Qi Zhu, Jiahui Gao, Weiwen Liu, Yutai Hou, Xingshan Zeng, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruifeng Xu, Qun Liu:
Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios. ACL (Findings) 2024: 4363-4400 - [c72]Yuxin Jiang, Yufei Wang, Xingshan Zeng, Wanjun Zhong, Liangyou Li, Fei Mi, Lifeng Shang, Xin Jiang, Qun Liu, Wei Wang:
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models. ACL (1) 2024: 4667-4688 - [c71]Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang:
Learning to Edit: Aligning LLMs with Knowledge Editing. ACL (1) 2024: 4689-4705 - [c70]Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Yunlong Feng, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song:
ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models. ACL (1) 2024: 6806-6827 - [c69]Wai-Chung Kwan, Xingshan Zeng, Yufei Wang, Yusen Sun, Liangyou Li, Yuxin Jiang, Lifeng Shang, Qun Liu, Kam-Fai Wong:
M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models. ACL (1) 2024: 15568-15592 - [c68]Xinshuo Hu, Dongfang Li, Xiaoguang Li, Yuxiang Wu, Lifeng Shang, Baotian Hu:
Does the Generator Mind Its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer. LREC/COLING 2024: 5202-5211 - [c67]Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, Yufei Wang, Liangyou Li, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models. EMNLP 2024: 20153-20177 - [c66]Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang:
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. ICLR 2024 - [c65]Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Lei Chen:
Retrieval-based Disentangled Representation Learning with Natural Language Supervision. ICLR 2024 - [c64]Zhiming Mao, Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
Visually Guided Generative Text-Layout Pre-training for Document Intelligence. NAACL-HLT 2024: 4713-4730 - 2023
- [c63]Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang:
Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning. AAAI 2023: 12580-12588 - [c62]Siheng Li, Cheng Yang, Yichun Yin, Xinyu Zhu, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu, Yujiu Yang:
AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models. ACL (2) 2023: 1751-1762 - [c61]Siheng Li, Yichun Yin, Cheng Yang, Wangjie Jiang, Yiwei Li, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu, Yujiu Yang:
NewsDialogues: Towards Proactive News Grounded Conversation. ACL (Findings) 2023: 3634-3649 - [c60]Rui Wang, Jianzhu Bao, Fei Mi, Yi Chen, Hongru Wang, Yasheng Wang, Yitong Li, Lifeng Shang, Kam-Fai Wong, Ruifeng Xu:
Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models. ACL (1) 2023: 6608-6619 - [c59]Guanhua Chen, Lu Hou, Yun Chen, Wenliang Dai, Lifeng Shang, Xin Jiang, Qun Liu, Jia Pan, Wenping Wang:
mCLIP: Multilingual CLIP via Cross-lingual Transfer. ACL (1) 2023: 13028-13043 - [c58]Boyang Xue, Weichao Wang, Hongru Wang, Fei Mi, Rui Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment. EMNLP (Findings) 2023: 7829-7844 - [c57]Chang Liu, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Edmund Y. Lam, Ngai Wong:
Gradually Excavating External Knowledge for Implicit Complex Question Answering. EMNLP (Findings) 2023: 14405-14417 - [c56]Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu:
Reusing Pretrained Models by Multi-linear Operators for Efficient Training. NeurIPS 2023 - 2022
- [c55]Xianghong Fang, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Dit-Yan Yeung:
Controlled Text Generation Using Dictionary Prior in Variational Autoencoders. ACL (Findings) 2022: 97-111 - [c54]Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu:
MINER: Multi-Interest Matching Network for News Recommendation. ACL (Findings) 2022: 343-352 - [c53]Dan Su, Xiaoguang Li, Jindi Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung:
Read before Generate! Faithful Long Form Question Answering with Machine Reading. ACL (Findings) 2022: 744-756 - [c52]Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu:
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis. ACL (Findings) 2022: 1720-1732 - [c51]Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu, Qun Liu:
bert2BERT: Towards Reusable Pretrained Language Models. ACL (1) 2022: 2134-2148 - [c50]Wenliang Dai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung:
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation. ACL (Findings) 2022: 2383-2395 - [c49]Qiwei Bi, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Hanfang Yang:
MTRec: Multi-Task Learning over BERT for News Recommendation. ACL (Findings) 2022: 2663-2669 - [c48]Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong:
Compression of Generative Pre-trained Language Models via Quantization. ACL (1) 2022: 4821-4836 - [c47]Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Lan Luo, Ke Zhan, Enrui Hu, Xinyu Zhang, Hao Jiang, Zhao Cao, Fan Yu, Xin Jiang, Qun Liu, Lei Chen:
Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering. ACL (1) 2022: 7135-7146 - [c46]Zhexin Zhang, Jiale Cheng, Hao Sun, Jiawen Deng, Fei Mi, Yasheng Wang, Lifeng Shang, Minlie Huang:
Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation. EMNLP (Findings) 2022: 3684-3697 - [c45]Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu:
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. EMNLP 2022: 6585-6597 - [c44]Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu:
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. EMNLP 2022: 7985-7997 - [c43]Shaobo Li, Xiaoguang Li, Lifeng Shang, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu:
Pre-training Language Models with Deterministic Factual Knowledge. EMNLP 2022: 11118-11131 - [c42]Benyou Wang, Yuxin Ren, Lifeng Shang, Xin Jiang, Qun Liu:
Exploring extreme parameter compression for pre-trained language models. ICLR 2022 - [c41]Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu:
Towards Efficient Post-training Quantization of Pre-trained Language Models. NeurIPS 2022 - 2021
- [c40]Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang:
Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation. AAAI 2021: 4249-4256 - [c39]Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu:
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions. AAAI 2021: 13279-13287 - [c38]Zhihong Shao, Lifeng Shang, Qun Liu, Minlie Huang:
A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering. ACL/IJCNLP (1) 2021: 4111-4124 - [c37]Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King:
BinaryBERT: Pushing the Limit of BERT Quantization. ACL/IJCNLP (1) 2021: 4334-4348 - [c36]Yichun Yin, Cheng Chen, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models. ACL/IJCNLP (1) 2021: 5146-5157 - [c35]Zhiqi Huang, Lu Hou, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
GhostBERT: Generate More Features with Cheap Operations for BERT. ACL/IJCNLP (1) 2021: 6512-6523 - [c34]Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu:
Generate & Rank: A Multi-task Framework for Math Word Problems. EMNLP (Findings) 2021: 2269-2279 - [c33]Baojun Wang, Zhao Zhang, Kun Xu, Guang-Yuan Hao, Yuyang Zhang, Lifeng Shang, Linlin Li, Xiao Chen, Xin Jiang, Qun Liu:
DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling. EMNLP (1) 2021: 2679-2693 - [c32]Chenyang Lyu, Lifeng Shang, Yvette Graham, Jennifer Foster, Xin Jiang, Qun Liu:
Improving Unsupervised Question Answering via Summarization-Informed Question Generation. EMNLP (1) 2021: 4134-4148 - [c31]Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu:
Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation. ICANN (3) 2021: 570-581 - [c30]Benyou Wang, Lifeng Shang, Christina Lioma, Xin Jiang, Hao Yang, Qun Liu, Jakob Grue Simonsen:
On Position Embeddings in BERT. ICLR 2021 - [c29]Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma:
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. ICLR 2021 - [c28]Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma:
Improved OOD Generalization via Adversarial Training and Pretraing. ICML 2021: 11987-11997 - [c27]Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang:
Dual Sequence Transformer for Query-based Interactive Recommendation. MDM 2021: 139-144 - 2020
- [c26]Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
Dialog State Tracking with Reinforced Data Augmentation. AAAI 2020: 9474-9481 - [c25]Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng, Lifeng Shang:
Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations. AKBC 2020 - [c24]Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu:
TernaryBERT: Distillation-aware Ultra-low Bit BERT. EMNLP (1) 2020: 509-521 - [c23]Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
TinyBERT: Distilling BERT for Natural Language Understanding. EMNLP (Findings) 2020: 4163-4174 - [c22]Yangbin Chen, Tom Ko, Lifeng Shang, Xiao Chen, Xin Jiang, Qing Li:
An Investigation of Few-Shot Learning in Spoken Term Classification. INTERSPEECH 2020: 2582-2586 - [c21]Xin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang, Lifeng Shang:
Neural Subgraph Isomorphism Counting. KDD 2020: 1959-1969 - [c20]Lu Hou, Zhiqi Huang, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
DynaBERT: Dynamic BERT with Adaptive Width and Depth. NeurIPS 2020 - 2019
- [c19]Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu:
Decomposable Neural Paraphrase Generation. ACL (1) 2019: 3403-3414 - 2018
- [c18]Zichao Li, Xin Jiang, Lifeng Shang, Hang Li:
Paraphrase Generation with Deep Reinforcement Learning. EMNLP 2018: 3865-3878 - 2017
- [c17]Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li:
Neural Machine Translation with Reconstruction. AAAI 2017: 3097-3103 - [c16]Lifeng Shang, Tetsuya Sakai, Hang Li, Ryuichiro Higashinaka, Yusuke Miyao, Yuki Arase, Masako Nomoto:
Overview of the NTCIR-13 Short Text Conversation Task. NTCIR 2017 - [c15]Zhaohao Zeng, Cheng Luo, Lifeng Shang, Hang Li, Tetsuya Sakai:
Test Collections and Measures for Evaluating Customer-Helpdesk Dialogues. EVIA@NTCIR 2017: 1-9 - 2016
- [c14]Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li:
Neural Generative Question Answering. IJCAI 2016: 2972-2978 - [c13]Tetsuya Sakai, Lifeng Shang:
On Estimating Variances for Topic Set Size Design. EVIA@NTCIR 2016 - [c12]Lifeng Shang, Tetsuya Sakai, Zhengdong Lu, Hang Li, Ryuichiro Higashinaka, Yusuke Miyao:
Overview of the NTCIR-12 Short Text Conversation Task. NTCIR 2016 - 2015
- [c11]Lifeng Shang, Zhengdong Lu, Hang Li:
Neural Responding Machine for Short-Text Conversation. ACL (1) 2015: 1577-1586 - [c10]Tetsuya Sakai, Lifeng Shang, Zhengdong Lu, Hang Li:
Topic Set Size Design with the Evaluation Measures for Short Text Conversation. AIRS 2015: 319-331 - [c9]Xinsheng Wang, Lifeng Shang, Heyi Yin:
Reliability concerns on time-to-digital converter due to bias temperature instability in nanometer era. ASICON 2015: 1-4 - [c8]Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li:
Multimodal Convolutional Neural Networks for Matching Image and Sentence. ICCV 2015: 2623-2631 - 2012
- [c7]Guodong Pan, Lifeng Shang, Dirk Schnieders, Kwan-Yee Kenneth Wong:
Mode Seeking with an Adaptive Distance Measure. ECCV Workshops (3) 2012: 213-222 - 2011
- [c6]Lifeng Shang, Kwok-Ping Chan, Guodong Pan:
DTTM: A Discriminative Temporal Topic Model for Facial Expression Recognition. ISVC (1) 2011: 596-606 - 2010
- [c5]Lifeng Shang, Kwok-Ping Chan:
A Temporal Latent Topic Model for Facial Expression Recognition. ACCV (4) 2010: 51-63 - [c4]Lifeng Shang, Linjun Yang, Fei Wang, Kwok-Ping Chan, Xian-Sheng Hua:
Real-time large scale near-duplicate web video retrieval. ACM Multimedia 2010: 531-540 - 2009
- [c3]Bin Bi, Lifeng Shang, Ben Kao:
Collaborative resource discovery in social tagging systems. CIKM 2009: 1919-1922 - [c2]Lifeng Shang, Kwok-Ping Chan:
Nonparametric discriminant HMM and application to facial expression recognition. CVPR 2009: 2090-2096 - 2008
- [c1]Lifeng Shang, Kwok-Ping Chan:
Temporal Exemplar-Based Bayesian Networks for Facial Expression Recognition. ICMLA 2008: 16-22
Informal and Other Publications
- 2024
- [i71]Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu:
Preparing Lessons for Progressive Training on Language Models. CoRR abs/2401.09192 (2024) - [i70]Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song:
PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models. CoRR abs/2401.15042 (2024) - [i69]Jianqiao Lu, Wanjun Zhong, Yufei Wang, Zhijiang Guo, Qi Zhu, Wenyong Huang, Yanlin Wang, Fei Mi, Baojun Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu:
YODA: Teacher-Student Progressive Learning for Language Models. CoRR abs/2401.15670 (2024) - [i68]Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, Yufei Wang, Liangyou Li, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models. CoRR abs/2401.16745 (2024) - [i67]Shijue Huang, Wanjun Zhong, Jianqiao Lu, Qi Zhu, Jiahui Gao, Weiwen Liu, Yutai Hou, Xingshan Zeng, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruifeng Xu, Qun Liu:
Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios. CoRR abs/2401.17167 (2024) - [i66]Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang:
Learning to Edit: Aligning LLMs with Knowledge Editing. CoRR abs/2402.11905 (2024) - [i65]Xinshuo Hu, Baotian Hu, Dongfang Li, Xiaoguang Li, Lifeng Shang:
Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer. CoRR abs/2402.14488 (2024) - [i64]Hao Zhang, Yuyang Zhang, Xiaoguang Li, Wenxuan Shi, Haonan Xu, Huanshuo Liu, Yasheng Wang, Lifeng Shang, Qun Liu, Yong Liu, Ruiming Tang:
Evaluating the External and Parametric Knowledge Fusion of Large Language Models. CoRR abs/2405.19010 (2024) - [i63]Renlong Jie, Xiaojun Meng, Lifeng Shang, Xin Jiang, Qun Liu:
Prompt-Based Length Controlled Generation with Multiple Control Types. CoRR abs/2406.10278 (2024) - [i62]Zezhong Wang, Xingshan Zeng, Weiwen Liu, Yufei Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
Chain-of-Probe: Examing the Necessity and Accuracy of CoT Step-by-Step. CoRR abs/2406.16144 (2024) - [i61]Yuxin Jiang, Bo Huang, Yufei Wang, Xingshan Zeng, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang:
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization. CoRR abs/2408.07471 (2024) - [i60]Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen:
ToolACE: Winning the Points of LLM Function Calling. CoRR abs/2409.00920 (2024) - [i59]Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang:
Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape. CoRR abs/2409.14396 (2024) - [i58]Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma:
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References. CoRR abs/2410.05193 (2024) - [i57]Kaishuai Xu, Tiezheng Yu, Wenjun Hou, Yi Cheng, Chak Tou Leong, Liangyou Li, Xin Jiang, Lifeng Shang, Qun Liu, Wenjie Li:
Subtle Errors Matter: Preference Learning via Error-injected Self-editing. CoRR abs/2410.06638 (2024) - [i56]Zezhong Wang, Xingshan Zeng, Weiwen Liu, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis. CoRR abs/2410.18447 (2024) - 2023
- [i55]Renlong Jie, Xiaojun Meng, Lifeng Shang, Xin Jiang, Qun Liu:
Enhancing Coherence of Extractive Summarization with Multitask Learning. CoRR abs/2305.12851 (2023) - [i54]Yufei Wang, Wanjun Zhong, Liangyou Li, Fei Mi, Xingshan Zeng, Wenyong Huang, Lifeng Shang, Xin Jiang, Qun Liu:
Aligning Large Language Models with Human: A Survey. CoRR abs/2307.12966 (2023) - [i53]Siheng Li, Yichun Yin, Cheng Yang, Wangjie Jiang, Yiwei Li, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu, Yujiu Yang:
NewsDialogues: Towards Proactive News Grounded Conversation. CoRR abs/2308.06501 (2023) - [i52]Siheng Li, Cheng Yang, Yichun Yin, Xinyu Zhu, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu, Yujiu Yang:
AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models. CoRR abs/2308.06507 (2023) - [i51]Renlong Jie, Xiaojun Meng, Lifeng Shang, Xin Jiang, Qun Liu:
Prompt-Based Length Controlled Generation with Reinforcement Learning. CoRR abs/2308.12030 (2023) - [i50]Jianqiao Lu, Wanjun Zhong, Wenyong Huang, Yufei Wang, Fei Mi, Baojun Wang, Weichao Wang, Lifeng Shang, Qun Liu:
SELF: Language-Driven Self-Evolution for Large Language Model. CoRR abs/2310.00533 (2023) - [i49]Baojun Wang, Kun Xu, Lifeng Shang:
Exploring the Usage of Chinese Pinyin in Pretraining. CoRR abs/2310.04960 (2023) - [i48]Boyang Xue, Weichao Wang, Hongru Wang, Fei Mi, Rui Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment. CoRR abs/2310.08372 (2023) - [i47]Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang, Xin Jiang, Qun Liu:
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. CoRR abs/2310.10477 (2023) - [i46]Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu:
Reusing Pretrained Models by Multi-linear Operators for Efficient Training. CoRR abs/2310.10699 (2023) - [i45]Wai-Chung Kwan, Xingshan Zeng, Yufei Wang, Yusen Sun, Liangyou Li, Lifeng Shang, Qun Liu, Kam-Fai Wong:
M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models. CoRR abs/2310.19240 (2023) - [i44]Yuxin Jiang, Yufei Wang, Xingshan Zeng, Wanjun Zhong, Liangyou Li, Fei Mi, Lifeng Shang, Xin Jiang, Qun Liu, Wei Wang:
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models. CoRR abs/2310.20410 (2023) - [i43]Zige Wang, Wanjun Zhong, Yufei Wang, Qi Zhu, Fei Mi, Baojun Wang, Lifeng Shang, Xin Jiang, Qun Liu:
Data Management For Large Language Models: A Survey. CoRR abs/2312.01700 (2023) - 2022
- [i42]Dan Su, Xiaoguang Li, Jindi Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung:
Read before Generate! Faithful Long Form Question Answering with Machine Reading. CoRR abs/2203.00343 (2022) - [i41]Wenliang Dai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung:
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation. CoRR abs/2203.06386 (2022) - [i40]Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Lan Luo, Ke Zhan, Enrui Hu, Xinyu Zhang, Hao Jiang, Zhao Cao, Fan Yu, Xin Jiang, Qun Liu, Lei Chen:
Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering. CoRR abs/2203.06942 (2022) - [i39]Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong:
Compression of Generative Pre-trained Language Models via Quantization. CoRR abs/2203.10705 (2022) - [i38]Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu:
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis. CoRR abs/2203.16747 (2022) - [i37]Fei Mi, Yitong Li, Yulong Zeng, Jingyan Zhou, Yasheng Wang, Chuanfei Xu, Lifeng Shang, Xin Jiang, Shiqi Zhao, Qun Liu:
PANGUBOT: Efficient Generative Dialogue Pre-training from Pre-trained Language Model. CoRR abs/2203.17090 (2022) - [i36]Yuxin Ren, Benyou Wang, Lifeng Shang, Xin Jiang, Qun Liu:
Exploring Extreme Parameter Compression for Pre-trained Language Models. CoRR abs/2205.10036 (2022) - [i35]Shaobo Li, Xiaoguang Li, Lifeng Shang, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu:
Pre-training Language Models with Deterministic Factual Knowledge. CoRR abs/2210.11165 (2022) - [i34]Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu:
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. CoRR abs/2210.11929 (2022) - [i33]Zhexin Zhang, Jiale Cheng, Hao Sun, Jiawen Deng, Fei Mi, Yasheng Wang, Lifeng Shang, Minlie Huang:
Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation. CoRR abs/2212.01810 (2022) - [i32]Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu:
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. CoRR abs/2212.03613 (2022) - [i31]Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Lei Chen:
Retrieval-based Disentanglement with Distant Supervision. CoRR abs/2212.07699 (2022) - 2021
- [i30]Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang:
Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation. CoRR abs/2103.03578 (2021) - [i29]Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
LightMBERT: A Simple Yet Effective Method for Multilingual BERT Distillation. CoRR abs/2103.06418 (2021) - [i28]Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma:
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. CoRR abs/2103.08933 (2021) - [i27]Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu:
Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation. CoRR abs/2104.11928 (2021) - [i26]Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma:
Improved OOD Generalization via Adversarial Training and Pre-training. CoRR abs/2105.11144 (2021) - [i25]Zhihong Shao, Lifeng Shang, Qun Liu, Minlie Huang:
A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering. CoRR abs/2106.07174 (2021) - [i24]Yichun Yin, Cheng Chen, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models. CoRR abs/2107.13686 (2021) - [i23]Shaobo Li, Qun Liu, Xin Jiang, Yichun Yin, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Lifeng Shang:
Integrating Regular Expressions with Neural Networks via DFA. CoRR abs/2109.02882 (2021) - [i22]Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu:
Generate & Rank: A Multi-task Framework for Math Word Problems. CoRR abs/2109.03034 (2021) - [i21]Chenyang Lyu, Lifeng Shang, Yvette Graham, Jennifer Foster, Xin Jiang, Qun Liu:
Improving Unsupervised Question Answering via Summarization-Informed Question Generation. CoRR abs/2109.07954 (2021) - [i20]Baojun Wang, Zhao Zhang, Kun Xu, Guang-Yuan Hao, Yuyang Zhang, Lifeng Shang, Linlin Li, Xiao Chen, Xin Jiang, Qun Liu:
DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling. CoRR abs/2109.08818 (2021) - [i19]Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu:
Towards Efficient Post-training Quantization of Pre-trained Language Models. CoRR abs/2109.15082 (2021) - [i18]Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu, Qun Liu:
bert2BERT: Towards Reusable Pretrained Language Models. CoRR abs/2110.07143 (2021) - 2020
- [i17]Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu:
DynaBERT: Dynamic BERT with Adaptive Width and Depth. CoRR abs/2004.04037 (2020) - [i16]Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng, Lifeng Shang:
Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations. CoRR abs/2006.11824 (2020) - [i15]Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu:
TernaryBERT: Distillation-aware Ultra-low Bit BERT. CoRR abs/2009.12812 (2020) - [i14]Yang Bai, Xiaoguang Li, Gang Wang, Chaoliang Zhang, Lifeng Shang, Jun Xu, Zhaowei Wang, Fangshan Wang, Qun Liu:
SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval. CoRR abs/2010.00768 (2020) - [i13]Xiaoqi Jiao, Huating Chang, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
Improving Task-Agnostic BERT Distillation with Layer Mapping Search. CoRR abs/2012.06153 (2020) - [i12]Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu:
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions. CoRR abs/2012.15534 (2020) - [i11]Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King:
BinaryBERT: Pushing the Limit of BERT Quantization. CoRR abs/2012.15701 (2020) - 2019
- [i10]Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu:
Decomposable Neural Paraphrase Generation. CoRR abs/1906.09741 (2019) - [i9]Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
Dialog State Tracking with Reinforced Data Augmentation. CoRR abs/1908.07795 (2019) - [i8]Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
TinyBERT: Distilling BERT for Natural Language Understanding. CoRR abs/1909.10351 (2019) - 2018
- [i7]Yangbin Chen, Tom Ko, Lifeng Shang, Xiao Chen, Xin Jiang, Qing Li:
Meta Learning for Few-shot Keyword Spotting. CoRR abs/1812.10233 (2018) - 2017
- [i6]Zichao Li, Xin Jiang, Lifeng Shang, Hang Li:
Paraphrase Generation with Deep Reinforcement Learning. CoRR abs/1711.00279 (2017) - 2016
- [i5]Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li:
Neural Machine Translation with Reconstruction. CoRR abs/1611.01874 (2016) - 2015
- [i4]Lifeng Shang, Zhengdong Lu, Hang Li:
Neural Responding Machine for Short-Text Conversation. CoRR abs/1503.02364 (2015) - [i3]Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li:
Multimodal Convolutional Neural Networks for Matching Image and Sentence. CoRR abs/1504.06063 (2015) - [i2]Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li:
Neural Generative Question Answering. CoRR abs/1512.01337 (2015) - 2013
- [i1]Lifeng Shang, Antoni B. Chan:
On Approximate Inference for Generalized Gaussian Process Models. CoRR abs/1311.6371 (2013)
Coauthor Index
[j11] [c75] [c74] [c73] [c72] [c71] [c67] [c65] [c64] [c62] [c61] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c45] [c44] [c43] [c42] [c41] [c39] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c26] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c14] [i71] [i69] [i68] [i67] [i66] [i63] [i62] [i61] [i60] [i58] [i57] [i56] [i55] [i54] [i53] [i52] [i51] [i48] [i47] [i46] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i32] [i31] [i29] [i28] [i27] [i26] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i15] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i2]
[j11] [c75] [c74] [c73] [c72] [c71] [c69] [c67] [c65] [c64] [c62] [c61] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c45] [c44] [c43] [c42] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c26] [c24] [c23] [c20] [c19] [i71] [i69] [i68] [i67] [i66] [i64] [i63] [i62] [i60] [i57] [i56] [i55] [i54] [i53] [i52] [i51] [i50] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i32] [i31] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i18] [i17] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8]
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