Qifan Wang

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 191

Top Venues

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)
Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer M. Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu
Prototypical Transformer as Unified Motion Learners. CoRR (2024)
Yawen Lu, Dongfang Liu, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Victor Chen, Heng Fan
ProMotion: Prototypes As Motion Learners. CoRR (2024)
Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu
Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning? CoRR (2024)
Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. ICLR (2024)
Barry Menglong Yao, Sijia Wang, Yu Chen, Qifan Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang
Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. EACL (1) (2024)
Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng
Direct Multi-Turn Preference Optimization for Language Agents. CoRR (2024)
Zhiyang Xu, Minqian Liu, Ying Shen, Joy Rimchala, Jiaxin Zhang, Qifan Wang, Yu Cheng, Lifu Huang
Lateralization LoRA: Interleaved Instruction Tuning with Modality-Specialized Adaptations. CoRR (2024)
Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. CoRR (2024)
Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations. CoRR (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)
Zhiyuan Cheng, Cheng Han, James Liang, Qifan Wang, Xiangyu Zhang, Dongfang Liu
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks. CoRR (2024)
Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu
Image Translation as Diffusion Visual Programmers. CoRR (2024)
Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang
Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models. CoRR (2024)
Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang
Multimodal Instruction Tuning with Conditional Mixture of LoRA. CoRR (2024)
Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning. CoRR (2024)
Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song
Minimal Distillation Schedule for Extreme Language Model Compression. EACL (Findings) (2024)
Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. NAACL-HLT (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)
Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu
AMD: Automatic Multi-step Distillation of Large-scale Vision Models. CoRR (2024)
Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer
Representation Deficiency in Masked Language Modeling. ICLR (2024)
Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Qifan Wang, Haifeng Xu, Hongning Wang
User Welfare Optimization in Recommender Systems with Competing Content Creators. CoRR (2024)
Zhiyang Xu, Chao Feng, Rulin Shao, Trevor Ashby, Ying Shen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang
Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning. CoRR (2024)
Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
Large Language Models are Learnable Planners for Long-Term Recommendation. SIGIR (2024)
Wenzhe Ouyang, Zenglin Xu, Jing Xu, Qifan Wang, Yong Xu
MixingMask: A contour-aware approach for joint object detection and instance segmentation. Pattern Recognit. 155 (2024)
Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu
Image Translation as Diffusion Visual Programmers. ICLR (2024)
Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li
MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning. AAAI (2024)
Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Jingzhou Liu, Qifan Wang, Haifeng Xu, Hongning Wang
User Welfare Optimization in Recommender Systems with Competing Content Creators. KDD (2024)
Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. NAACL-HLT (2024)
Mingkai Chen, Taowen Wang, James Chenhao Liang, Chuan Liu, Chunshu Wu, Qifan Wang, Ying Nian Wu, Michael Huang, Chuang Ren, Ang Li, Tong Geng, Dongfang Liu
Inertial Confinement Fusion Forecasting via LLMs. CoRR (2024)
Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu
Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ICLR (2024)
Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai
HYDRA: Model Factorization Framework for Black-Box LLM Personalization. CoRR (2024)
Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Zihao Zhou, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Kaize Ding, Fan Yang, Ruixiang Tang, Yongfeng Zhang
Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models. CoRR (2024)
Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang
: Robust Confidence Estimation in LLMs through Internal States. CoRR (2024)
Zhiyang Xu, Chao Feng, Rulin Shao, Trevor Ashby, Ying Shen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang
Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning. ACL (Findings) (2024)
Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang
Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models. ACL (1) (2024)
Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua
Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers. CoRR (2024)
Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang
Multimodal Instruction Tuning with Conditional Mixture of LoRA. ACL (1) (2024)
Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. CoRR (2024)
Qifan Wang
Research on the Development Status of the Combination of Biology, Chemistry, Geology and Artificial Intelligence. DSAI (2024)
Zhiyuan Peng, Xuyang Wu, Qifan Wang, Sravanthi Rajanala, Yi Fang
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models. CoRR (2024)
Chi Han, Qifan Wang, Hao Peng, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models. NAACL-HLT (2024)
Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding. LREC/COLING (2024)
Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu
MUSTIE: Multimodal Structural Transformer for Web Information Extraction. ACL (1) (2023)
Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. EMNLP (2023)
Jianli Bai, Xiaowu Zhang, Xiangfu Song, Hang Shao, Qifan Wang, Shujie Cui, Giovanni Russello
CryptoMask : Privacy-preserving Face Recognition. CoRR (2023)
Rongyi Sun, Ziran Li, Yifeng Ding, Qifan Wang, Jingang Wang, Haitao Zheng, Wei Wu, Yunsen Xian
Fusion or Defusion? Flexible Vision-and-Language Pre-Training. ACL (Findings) (2023)
Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer
Representation Deficiency in Masked Language Modeling. CoRR (2023)
Zihong Liang, Xiaojun Quan, Qifan Wang
Disentangled Phonetic Representation for Chinese Spelling Correction. ACL (1) (2023)
Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization. CoRR (2023)
Zeyu Yang, Jizhi Zhang, Fuli Feng, Chongming Gao, Qifan Wang, Xiangnan He
Interactive active learning for fairness with partial group label. AI Open 4 (2023)
Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin Chen, Dongfang Liu
TransFlow: Transformer as Flow Learner. CVPR (2023)
Qifan Wang, Lei Zhou, Jianli Bai, Yun Sing Koh, Shujie Cui, Giovanni Russello
: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE. Comput. Secur. 135 (2023)
Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales. ACL (1) (2023)
Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. ACL (Findings) (2023)
Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling. CoRR (2023)
Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li
Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition. CoRR (2023)
Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He
Attack Prompt Generation for Red Teaming and Defending Large Language Models. CoRR (2023)
Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. EMNLP (Findings) (2023)
Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang
Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection. AAAI (2023)
Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang
The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning. CoRR (2023)
Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. CoRR (2023)
Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He
CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation. CoRR (2023)
Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. EMNLP (2023)
Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu
E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning. CoRR (2023)
Zihong Liang, Xiaojun Quan, Qifan Wang
Disentangled Phonetic Representation for Chinese Spelling Correction. CoRR (2023)
Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi
Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model. CoRR (2023)
Chuang Cai, Qifan Wang, Weiwei Cai, Yixin Yang, Yahui Hu, Liujun Li, Yanfeng Wang, Guoxiong Zhou
Identification of grape leaf diseases based on VN-BWT and Siamese DWOAM-DRNet. Eng. Appl. Artif. Intell. 123 (Part B) (2023)
Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang
The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models. EMNLP (2023)
Qifan Wang, Yinwei Wei, Jianhua Yin, Jianlong Wu, Xuemeng Song, Liqiang Nie
DualGNN: Dual Graph Neural Network for Multimedia Recommendation. IEEE Trans. Multim. 25 (2023)
Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. CoRR (2023)
Jianli Bai, Xiangfu Song, Xiaowu Zhang, Qifan Wang, Shujie Cui, Ee-Chien Chang, Giovanni Russello
Mostree: Malicious Secure Private Decision Tree Evaluation with Sublinear Communication. ACSAC (2023)
Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. CoRR (2023)
Siyue Wu, Hongzhan Chen, Xiaojun Quan, Qifan Wang, Rui Wang
AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression. ACL (1) (2023)
Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference. CoRR (2023)
Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang
Federated Generalization via Information-Theoretic Distribution Diversification. CoRR (2023)
Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, Bingzhe Wu, Jiaxiang Wu
PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection. CoRR (2023)
Barry Menglong Yao, Yu Chen, Qifan Wang, Sijia Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang
AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. CoRR (2023)
Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. ACL (Findings) (2023)
Chenbin Pan, Rui Hou, Hanchao Yu, Qifan Wang, Senem Velipasalar, Madian Khabsa
SVT: Supertoken Video Transformer for Efficient Video Understanding. CoRR (2023)
Zheyun Qin, Cheng Han, Qifan Wang, Xiushan Nie, Yilong Yin, Xiankai Lu
Unified 3D Segmenter As Prototypical Classifiers. NeurIPS (2023)
James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu
ClusterFomer: Clustering As A Universal Visual Learner. NeurIPS (2023)
Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. CoRR (2023)
Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu
VPT: An Effective and Efficient Approach for Visual Prompt Tuning. ICCV (2023)
Chi Han, Qifan Wang, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models. CoRR (2023)
Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li
mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning. CoRR (2023)
Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. ACL (Findings) (2023)
Jianli Bai, Xiaowu Zhang, Xiangfu Song, Hang Shao, Qifan Wang, Shujie Cui, Giovanni Russello
CryptoMask: Privacy-Preserving Face Recognition. ICICS (2023)
Wei Cai, Fuli Feng, Qifan Wang, Tian Yang, Zhenguang Liu, Congfu Xu
A Causal View for Item-level Effect of Recommendation on User Preference. WSDM (2023)
Tianyuan Shi, Liangzhi Li, Zijian Lin, Tao Yang, Xiaojun Quan, Qifan Wang
Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems. EMNLP (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)
Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CVPR (2023)
Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. 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)
Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He
Attack Prompt Generation for Red Teaming and Defending Large Language Models. EMNLP (Findings) (2023)
Yuchen Liu, Natasha Ong, Kaiyan Peng, Bo Xiong, Qifan Wang, Rui Hou, Madian Khabsa, Kaiyue Yang, David Liu, Donald S. Williamson, Hanchao Yu
MMViT: Multiscale Multiview Vision Transformers. CoRR (2023)
Yuanhang Yang, Shiyi Qi, Chuanyi Liu, Qifan Wang, Cuiyun Gao, Zenglin Xu
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling. EMNLP (2023)
Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models. ACL (Findings) (2023)
Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, Bingzhe Wu, Jiaxiang Wu
PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection. EMNLP (Findings) (2023)
Yang Zhang, Zhiyu Hu, Yimeng Bai, Fuli Feng, Jiancan Wu, Qifan Wang, Xiangnan He
Recommendation Unlearning via Influence Function. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Qifan Wang