Ruifeng Xu

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 268

Top Venues

Publications

Jinchang Hou, Chang Ao, Haihong Wu, Xiangtao Kong, Zhigang Zheng, Daijia Tang, Chengming Li, Xiping Hu, Ruifeng Xu, Shiwen Ni, Min Yang
E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models. CoRR (2024)
Jiangnan Li, Yice Zhang, Shiwei Chen, Ruifeng Xu
Enhancing Multi-Label Classification via Dynamic Label-Order Learning. AAAI (2024)
Qianlong Wang, Hongling Xu, Keyang Ding, Bin Liang, Ruifeng Xu
In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis. LREC/COLING (2024)
Geng Tu, Feng Xiong, Bin Liang, Ruifeng Xu
A Persona-Infused Cross-Task Graph Network for Multimodal Emotion Recognition with Emotion Shift Detection in Conversations. SIGIR (2024)
Han Zhang, Yu Lei, Lin Gui, Min Yang, Yulan He, Hui Wang, Ruifeng Xu
CPPO: Continual Learning for Reinforcement Learning with Human Feedback. ICLR (2024)
Ziqiang Liu, Shujie Li, Zefeng Cai, Xiangyu Li, Yunshui Li, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang
TP-Link: Fine-grained Pre-Training for Text-to-SQL Parsing with Linking Information. LREC/COLING (2024)
Yice Zhang, Jie Zeng, Weiming Hu, Ziyi Wang, Shiwei Chen, Ruifeng Xu
Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction. ACL (1) (2024)
Han Zhang, Lin Gui, Yu Lei, Yuanzhao Zhai, Yehong Zhang, Yulan He, Hui Wang, Yue Yu, Kam-Fai Wong, Bin Liang, Ruifeng Xu
COPR: Continual Human Preference Learning via Optimal Policy Regularization. CoRR (2024)
Caihua Yang, Jianzhu Bao, Bin Liang, Ruifeng Xu
Enhancing Argumentative Relation Classification by Multi-Granularity Retrieval and Heterogeneous Graph Reasoning. ICASSP (2024)
Mingshan Chang, Min Yang, Qingshan Jiang, Ruifeng Xu
Contrastive variational information bottleneck for aspect-based sentiment analysis. Knowl. Based Syst. 284 (2024)
Zehua Zhang, Xingwei Liang, Ruifeng Xu, Mingjiang Wang
Hybrid Attention Time-Frequency Analysis Network for Single-Channel Speech Enhancement. ICASSP (2024)
Xingwei Liang, Geng Tu, Jiachen Du, Ruifeng Xu
Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations. J. Artif. Intell. Res. 79 (2024)
Feiteng Fang, Liang Zhu, Xi Feng, Jinchang Hou, Qixuan Zhao, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang
CLHA: A Simple Yet Effective Contrastive Learning Framework for Human Alignment. LREC/COLING (2024)
Shijue Huang, Libo Qin, Bingbing Wang, Geng Tu, Ruifeng Xu
SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-Modal Intent Detection. ICASSP (2024)
Ang Li, Jingqian Zhao, Bin Liang, Lin Gui, Hui Wang, Xi Zeng, Kam-Fai Wong, Ruifeng Xu
Mitigating Biases of Large Language Models in Stance Detection with Calibration. CoRR (2024)
Mingshan Chang, Min Yang, Qingshan Jiang, Ruifeng Xu
Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis. AAAI (2024)
Jun Gao, Huan Zhao, Wei Wang, Changlong Yu, Ruifeng Xu
EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models. CoRR (2024)
Ancheng Xu, Minghuan Tan, Lei Wang, Min Yang, Ruifeng Xu
NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models. CoRR (2024)
Bingbing Wang, Bin Liang, Chun-Mei Feng, Wangmeng Zuo, Zhixin Bai, Shijue Huang, Kam-Fai Wong, Ruifeng Xu
Towards Real-World Stickers Use: A New Dataset for Multi-Tag Sticker Recognition. CoRR (2024)
Shujie Li, Guanghu Yuan, Min Yang, Ying Shen, Chengming Li, Ruifeng Xu, Xiaoyan Zhao
Improving Semi-Supervised Text Classification with Dual Meta-Learning. ACM Trans. Inf. Syst. 42 (4) (2024)
Xingwei Liang, Zehua Zhang, Mingjiang Wang, Ruifeng Xu
Lightweight Multi-Axial Transformer with Frequency Prompt for Single Channel Speech Enhancement. ICASSP (2024)
Zhibo Chu, Shiwen Ni, Zichong Wang, Xi Feng, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang, Wenbin Zhang
History, Development, and Principles of Large Language Models-An Introductory Survey. CoRR (2024)
Yifan Yang, Yice Zhang, Ruifeng Xu
Enhancing Generative Aspect-Based Sentiment Analysis with Relation-Level Supervision and Prompt. ICASSP (2024)
Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu, Ye Li, Jianping Fan
MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property. CoRR (2024)
Depei Wang, Ruifeng Xu, Lianglun Cheng, Zhuowei Wang
Knowledge-integrated Multi-modal Movie Turning Point Identification. ACM Trans. Multim. Comput. Commun. Appl. 20 (5) (2024)
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 (2024)
Ancheng Xu, Minghuan Tan, Lei Wang, Min Yang, Ruifeng Xu
NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models. ACL (Findings) (2024)
Shijue Huang, Libo Qin, Bingbing Wang, Geng Tu, Ruifeng Xu
SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-modal Intent Detection. CoRR (2024)
Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. CoRR (2024)
Shiwen Ni, Min Yang, Ruifeng Xu, Chengming Li, Xiping Hu
Layer-wise Regularized Dropout for Neural Language Models. CoRR (2024)
Bin Liang, Ang Li, Jingqian Zhao, Lin Gui, Min Yang, Yue Yu, Kam-Fai Wong, Ruifeng Xu
Multi-modal Stance Detection: New Datasets and Model. ACL (Findings) (2024)
Haolin Deng, Chang Wang, Xin Li, Dezhang Yuan, Junlang Zhan, Tianhua Zhou, Jin Ma, Jun Gao, Ruifeng Xu
WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations. CoRR (2024)
Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. CoRR (2024)
Bingbing Wang, Bin Liang, Lanjun Zhou, Ruifeng Xu
Gaze-infused BERT: Do human gaze signals help pre-trained language models? Neural Comput. Appl. 36 (20) (2024)
Bingbing Wang, Shijue Huang, Bin Liang, Geng Tu, Min Yang, Ruifeng Xu
What do they "meme"? A metaphor-aware multi-modal multi-task framework for fine-grained meme understanding. Knowl. Based Syst. 294 (2024)
Feiteng Fang, Liang Zhu, Min Yang, Xi Feng, Jinchang Hou, Qixuan Zhao, Chengming Li, Xiping Hu, Ruifeng Xu
CLHA: A Simple yet Effective Contrastive Learning Framework for Human Alignment. CoRR (2024)
Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu
MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property. LREC/COLING (2024)
Geng Tu, Taiyu Niu, Ruifeng Xu, Bin Liang, Erik Cambria
AdaCLF: An Adaptive Curriculum Learning Framework for Emotional Support Conversation. IEEE Intell. Syst. 39 (4) (2024)
Geng Tu, Tian Xie, Bin Liang, Hongpeng Wang, Ruifeng Xu
Adaptive Graph Learning for Multimodal Conversational Emotion Detection. AAAI (2024)
Shiwen Ni, Dingwei Chen, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang
Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models. ACL (1) (2024)
Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers. ACM Comput. Surv. 56 (11) (2024)
Yuhang He, Jianzhu Bao, Yang Sun, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu
Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning. ACL (Findings) (2024)
Jinchang Hou, Chang Ao, Haihong Wu, Xiangtao Kong, Zhigang Zheng, Daijia Tang, Chengming Li, Xiping Hu, Ruifeng Xu, Shiwen Ni, Min Yang
E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models. ACL (Findings) (2024)
Ziqiang Liu, Feiteng Fang, Xi Feng, Xinrun Du, Chenhao Zhang, Zekun Wang, Yuelin Bai, Qixuan Zhao, Liyang Fan, Chengguang Gan, Hongquan Lin, Jiaming Li, Yuansheng Ni, Haihong Wu, Yaswanth Narsupalli, Zhigang Zheng, Chengming Li, Xiping Hu, Ruifeng Xu, Xiaojun Chen, Min Yang, Jiaheng Liu, Ruibo Liu, Wenhao Huang, Ge Zhang, Shiwen Ni
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models. CoRR (2024)
Bin Liang, Ang Li, Jingqian Zhao, Lin Gui, Min Yang, Yue Yu, Kam-Fai Wong, Ruifeng Xu
Multi-modal Stance Detection: New Datasets and Model. CoRR (2024)
Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. ACL (Findings) (2024)
Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training. CoRR (2024)
Qianlong Wang, Keyang Ding, Xuan Luo, Ruifeng Xu
Improving In-Context Learning via Sequentially Selection and Preference Alignment for Few-Shot Aspect-Based Sentiment Analysis. SIGIR (2024)
Rui Wang, Hongru Wang, Fei Mi, Boyang Xue, Yi Chen, Kam-Fai Wong, Ruifeng Xu
Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting. NAACL-HLT (2024)
Rui Wang, Fei Mi, Yi Chen, Boyang Xue, Hongru Wang, Qi Zhu, Kam-Fai Wong, Ruifeng Xu
Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models. CoRR (2024)
Yang Sun, Guanrong Chen, Caihua Yang, Jianzhu Bao, Bin Liang, Xi Zeng, Min Yang, Ruifeng Xu
Discourse Structure-Aware Prefix for Generation-Based End-to-End Argumentation Mining. ACL (Findings) (2024)
Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training. ACL (1) (2024)
Yang Sun, Muyi Wang, Jianzhu Bao, Bin Liang, Xiaoyan Zhao, Caihua Yang, Min Yang, Ruifeng Xu
PITA: Prompting Task Interaction for Argumentation Mining. ACL (1) (2024)
Bin Liang, Bingbing Wang, Zhixin Bai, Qiwei Lang, Mingwei Sun, Kaiheng Hou, Kam-Fai Wong, Ruifeng Xu
Reply with Sticker: New Dataset and Model for Sticker Retrieval. CoRR (2024)
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)
Shiwen Ni, Min Yang, Ruifeng Xu, Chengming Li, Xiping Hu
Layer-wise Regularized Dropout for Neural Language Models. LREC/COLING (2024)
Yice Zhang, Jie Zeng, Weiming Hu, Ziyi Wang, Shiwei Chen, Ruifeng Xu
Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction. CoRR (2024)
Keyang Ding, Chuang Fan, Yiwen Ding, Qianlong Wang, Zhiyuan Wen, Jing Li, Ruifeng Xu
LCSEP: A Large-Scale Chinese Dataset for Social Emotion Prediction to Online Trending Topics. IEEE Trans. Comput. Soc. Syst. 11 (3) (2024)
Shijue Huang, Bingbing Wang, Libo Qin, Qin Zhao, Ruifeng Xu
Improving Few-Shot and Zero-Shot Entity Linking with Coarse-to-Fine Lexicon-Based Retriever. NLPCC (3) (2023)
Jianzhu Bao, Rui Wang, Yasheng Wang, Aixin Sun, Yitong Li, Fei Mi, Ruifeng Xu
A Synthetic Data Generation Framework for Grounded Dialogues. ACL (1) (2023)
Libo Qin, Shijue Huang, Qiguang Chen, Chenran Cai, Yudi Zhang, Bin Liang, Wanxiang Che, Ruifeng Xu
MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System. CoRR (2023)
Lei Li, Jingxu Cao, Ruifeng Xu
A Polarization Rotation EBG-based Circularly Polarized Fabric Wearable Antenna for Medical Monitoring. ISAIMS (2023)
Yang Sun, Bin Liang, Jianzhu Bao, Yice Zhang, Geng Tu, Min Yang, Ruifeng Xu
Probing Graph Decomposition for Argument Pair Extraction. ACL (Findings) (2023)
Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Ruifeng Xu
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction. CoRR (2023)
Geng Tu, Bin Liang, Bing Qin, Kam-Fai Wong, Ruifeng Xu
An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations. EMNLP (Findings) (2023)
Xingwei Liang, Zehua Zhang, Ruifeng Xu
Multi-task deep cross-attention networks for far-field speaker verification and keyword spotting. EURASIP J. Audio Speech Music. Process. 2023 (1) (2023)
Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu
A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers. CoRR (2023)
Ruifeng Xu, Yuyuan Mai, Junlong Chen, Zhen Zhang
An Improved Method for the Elderly Fall Recognition System Based on YOLOV7. SmartIoT (2023)
Xingwei Liang, You Zou, Ruifeng Xu
SI-LSTM: Speaker Hybrid Long-short Term Memory and Cross Modal Attention for Emotion Recognition in Conversation. CoRR (2023)
Jun Gao, Huan Zhao, Changlong Yu, Ruifeng Xu
Exploring the Feasibility of ChatGPT for Event Extraction. CoRR (2023)
Ang Li, Bin Liang, Jingqian Zhao, Bowen Zhang, Min Yang, Ruifeng Xu
Stance Detection on Social Media with Background Knowledge. EMNLP (2023)
Mingshan Chang, Min Yang, Qingshan Jiang, Ruifeng Xu
Reducing Spurious Correlations for Aspect-Based Sentiment Analysis with Variational Information Bottleneck and Contrastive Learning. CoRR (2023)
Feiteng Fang, Min Yang, Chengming Li, Ruifeng Xu
Adversarial Meta Prompt Tuning for Open Compound Domain Adaptive Intent Detection. SIGIR (2023)
Jingya Zang, Cuiyun Gao, Yupan Chen, Ruifeng Xu, Lanjun Zhou, Xuan Wang
Learning to Generate Tips from Song Reviews. Neural Networks 161 (2023)
Min Yang, Zhenwei Wang, Qiancheng Xu, Chengming Li, Ruifeng Xu
Leveraging hierarchical semantic-emotional memory in emotional conversation generation. CAAI Trans. Intell. Technol. 8 (3) (2023)
Tianshu Yu, Min Yang, Chengming Li, Ruifeng Xu
Reducing Spurious Correlations for Relation Extraction by Feature Decomposition and Semantic Augmentation. SIGIR (2023)
Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. EMNLP (2023)
Jun Gao, Huan Zhao, Yice Zhang, Wei Wang, Changlong Yu, Ruifeng Xu
Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction. CoRR (2023)
Hongru Wang, Rui Wang, Fei Mi, Yang Deng, Zezhong Wang, Bin Liang, Ruifeng Xu, Kam-Fai Wong
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs. EMNLP (Findings) (2023)
Bin Liang, Xiang Li, Lin Gui, Yonghao Fu, Yulan He, Min Yang, Ruifeng Xu
Few-shot Aspect Category Sentiment Analysis via Meta-learning. ACM Trans. Inf. Syst. 41 (1) (2023)
Minghuan Tan, Min Yang, Ruifeng Xu
Focal Training and Tagger Decouple for Grammatical Error Correction. ACL (Findings) (2023)
Yi Chen, Rui Wang, Haiyun Jiang, Shuming Shi, Ruifeng Xu
Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study. IJCNLP (Findings) (2023)
Qianlong Wang, Keyang Ding, Bin Liang, Min Yang, Ruifeng Xu
Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models. EMNLP (Findings) (2023)
Geng Tu, Bin Liang, Ruibin Mao, Min Yang, Ruifeng Xu
Context or Knowledge is Not Always Necessary: A Contrastive Learning Framework for Emotion Recognition in Conversations. ACL (Findings) (2023)
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)
Shenghong Luo, Ruifeng Xu, Xuhang Chen, Zinuo Li, Chi-Man Pun, Shuqiang Wang
DocDeshadower: Frequency-aware Transformer for Document Shadow Removal. CoRR (2023)
Yice Zhang, Yifan Yang, Meng Li, Bin Liang, Shiwei Chen, Ruifeng Xu
Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction. EMNLP (2023)
Rui Wang, Hongru Wang, Fei Mi, Yi Chen, Ruifeng Xu, Kam-Fai Wong
Self-Critique Prompting with Large Language Models for Inductive Instructions. CoRR (2023)
Bin Liang, Rongdi Yin, Jiachen Du, Lin Gui, Yulan He, Min Yang, Ruifeng Xu
Embedding Refinement Framework for Targeted Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. 14 (1) (2023)
Libo Qin, Shijue Huang, Qiguang Chen, Chenran Cai, Yudi Zhang, Bin Liang, Wanxiang Che, Ruifeng Xu
MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System. ACL (Findings) (2023)
Xiaokang Liu, Jianquan Li, Jingjing Mu, Min Yang, Ruifeng Xu, Benyou Wang
Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary. AAAI (2023)
Geng Tu, Ran Jing, Bin Liang, Min Yang, Kam-Fai Wong, Ruifeng Xu
A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection. EMNLP (2023)
Xiao Liu, Min Yang, Ziyu Lyu, Dongding Lin, Piji Li, Ruifeng Xu
Hierarchical conversation flow transition and reasoning for conversational machine comprehension. Neural Comput. Appl. 35 (3) (2023)
Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu
A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning. AAAI (2023)
Geng Tu, Bin Liang, Dazhi Jiang, Ruifeng Xu
Sentiment- Emotion- and Context-Guided Knowledge Selection Framework for Emotion Recognition in Conversations. IEEE Trans. Affect. Comput. 14 (3) (2023)
Geng Tu, Bin Liang, Xiucheng Lyu, Lin Gui, Ruifeng Xu
Do Topic and Causal Consistency Affect Emotion Cognition? A Graph Interactive Network for Conversational Emotion Detection. ECAI (2023)
Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang
A Diffusion Model for Event Skeleton Generation. CoRR (2023)
Chenran Cai, Qin Zhao, Ruifeng Xu, Bing Qin
Improving Conversational Aspect-Based Sentiment Quadruple Analysis with Overall Modeling. NLPCC (3) (2023)
Qiancheng Xu, Min Yang, Ruifeng Xu
Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems. AAAI (2023)
Yi Chen, Haiyun Jiang, Wei Bi, Rui Wang, Longyue Wang, Shuming Shi, Ruifeng Xu
A Benchmark for Text Expansion: Datasets, Metrics, and Baselines. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ruifeng Xu