Congying Xia

67 papers A* 12B 4Journal 37Unranked 14
YearRankTypeTitle / Venue / Authors
2026 A* conf
Benchmarking LLMs for Political Science: A United Nations Perspective.
AAAI
Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu
2025 A* conf
AAAR-1.0: Assessing AI's Potential to Assist Research.
ICML
Renze Lou, Hanzi Xu, Sijia Wang, Jiangshu Du, Ryo Kamoi, Xiaoxin Lu, Jian Xie, Yuxuan Sun, Yusen Zhang, Jihyun Janice Ahn, Hongchao Fang, Zhuoyang Zou, Wenchao Ma, Xi Li, Kai Zhang, Congying Xia, Lifu Huang, Wenpeng Yin
2025 J jnl
Benchmarking LLMs for Political Science: A United Nations Perspective.
CoRR
Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu
2025 J jnl
ProjectTest: A Project-level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms.
CoRR
Yibo Wang, Congying Xia, Wenting Zhao, Jiangshu Du, Chunyu Miao, Zhongfen Deng, Philip S. Yu, Chen Xing
2025 A* conf
ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement.
ICLR
Xiangyu Peng, Congying Xia, Xinyi Yang, Caiming Xiong, Chien-Sheng Wu, Chen Xing
2024 J jnl
AAAR-1.0: Assessing AI's Potential to Assist Research.
CoRR
Renze Lou, Hanzi Xu, Sijia Wang, Jiangshu Du, Ryo Kamoi, Xiaoxin Lu, Jian Xie, Yuxuan Sun, Yusen Zhang, Jihyun Janice Ahn, Hongchao Fang, Zhuoyang Zou, Wenchao Ma, Xi Li, Kai Zhang, Congying Xia, Lifu Huang, Wenpeng Yin
2024 — conf
FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability.
ACL (1)
Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong
2024 J jnl
FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability.
CoRR
Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong
2024 — conf
LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs.
ACL (Findings)
Tingting Liang, Chenxin Jin, Lingzhi Wang, Wenqi Fan, Congying Xia, Kai Chen, Yuyu Yin
2024 A* conf
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.
EMNLP
Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
2024 J jnl
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.
CoRR
Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Ranran Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
2024 J jnl
ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement.
CoRR
Xiangyu Peng, Congying Xia, Xinyi Yang, Caiming Xiong, Chien-Sheng Wu, Chen Xing
2024 — conf
xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations.
ECCV Workshops (5)
Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong
2024 J jnl
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations.
CoRR
Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong
2023 — conf
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm.
IJCNLP (2)
Jiangshu Du, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu
2023 J jnl
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm.
CoRR
Jiangshu Du, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu
2023 A* conf
Contrastive Box Embedding for Collaborative Reasoning.
SIGIR
Tingting Liang, Yuanqing Zhang, Qianhui Di, Congying Xia, Youhuizi Li, Yuyu Yin
2023 J jnl
Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Tao Zhang, Congying Xia, Zhiwei Liu, Shu Zhao, Hao Peng, Philip S. Yu
2023 A* conf
Learning to Select from Multiple Options.
AAAI
Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu
2023 J jnl
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network.
IEEE Trans. Knowl. Data Eng.
Tingting Liang, Congying Xia, Haoran Xu, Ziqiang Zhao, Yuyu Yin, Liang Chen, Philip S. Yu
2023 A* conf
Preference-grounded Token-level Guidance for Language Model Fine-tuning.
NeurIPS
Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou
2023 J jnl
Preference-grounded Token-level Guidance for Language Model Fine-tuning.
CoRR
Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou
2023 J jnl
Transferring From Textual Entailment to Biomedical Named Entity Recognition.
IEEE ACM Trans. Comput. Biol. Bioinform.
Tingting Liang, Congying Xia, Ziqiang Zhao, Yixuan Jiang, Yuyu Yin, Philip S. Yu
2023 J jnl
XGen-7B Technical Report.
CoRR
Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, Wojciech Kryscinski, Lidiya Murakhovs'ka, Prafulla Kumar Choubey, Alexander R. Fabbri, Ye Liu, Rui Meng, Lifu Tu, Meghana Bhat, Chien-Sheng Wu, Silvio Savarese, Yingbo Zhou, Shafiq Joty, Caiming Xiong
2022 J jnl
A Survey on Text Classification: From Traditional to Deep Learning.
ACM Trans. Intell. Syst. Technol.
Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He
2022 J jnl
Content-aware Recommendation via Dynamic Heterogeneous Graph Convolutional Network.
Knowl. Based Syst.
Tingting Liang, Lin Ma, Weizhong Zhang, Haoran Xu, Congying Xia, Yuyu Yin
2022 B conf
Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing.
IEEE Big Data
Yibo Wang, Congying Xia, Guan Wang, Philip S. Yu
2022 J jnl
Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing.
CoRR
Yibo Wang, Congying Xia, Guan Wang, Philip S. Yu
2022 J jnl
Learning to Select from Multiple Options.
CoRR
Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu
2022 J jnl
Multifaceted Improvements for Conversational Open-Domain Question Answering.
CoRR
Tingting Liang, Yixuan Jiang, Congying Xia, Ziqiang Zhao, Yuyu Yin, Philip S. Yu
2021 — conf
Cross-lingual COVID-19 Fake News Detection.
ICDM (Workshops)
Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu
2021 J jnl
Cross-lingual COVID-19 Fake News Detection.
CoRR
Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu
2021 — conf
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning.
EMNLP (1)
Jian-Guo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu
2021 J jnl
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning.
CoRR
Jian-Guo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu
2021 — conf
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization.
EMNLP (1)
Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
2021 J jnl
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization.
CoRR
Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
2021 — conf
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System.
NAACL-HLT
Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu
2021 J jnl
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System.
CoRR
Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu
2021 — conf
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition.
EMNLP (1)
Tao Zhang, Congying Xia, Philip S. Yu, Zhiwei Liu, Shu Zhao
2021 A* conf
Pseudo Siamese Network for Few-shot Intent Generation.
SIGIR
Congying Xia, Caiming Xiong, Philip S. Yu
2021 J jnl
Pseudo Siamese Network for Few-shot Intent Generation.
CoRR
Congying Xia, Caiming Xiong, Philip S. Yu
2021 A* conf
User Preference-aware Fake News Detection.
SIGIR
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
2021 J jnl
User Preference-aware Fake News Detection.
CoRR
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
2020 J jnl
A Survey on Text Classification: From Shallow to Deep Learning.
CoRR
Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He
2020 J jnl
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection.
CoRR
Congying Xia, Chenwei Zhang, Hoang Nguyen, Jiawei Zhang, Philip S. Yu
2020 — conf
Composed Variational Natural Language Generation for Few-shot Intents.
EMNLP (Findings)
Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher
2020 J jnl
Composed Variational Natural Language Generation for Few-shot Intents.
CoRR
Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher
2020 J jnl
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection.
CoRR
Hoang Nguyen, Chenwei Zhang, Congying Xia, Philip S. Yu
2020 J jnl
Graph-Bert: Only Attention is Needed for Learning Graph Representations.
CoRR
Jiawei Zhang, Haopeng Zhang, Congying Xia, Li Sun
2020 B conf
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation.
COLING
Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu
2020 J jnl
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation.
CoRR
Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu
2020 A* conf
Joint Training Capsule Network for Cold Start Recommendation.
SIGIR
Tingting Liang, Congying Xia, Yuyu Yin, Philip S. Yu
2020 J jnl
Joint Training Capsule Network for Cold Start Recommendation.
CoRR
Tingting Liang, Congying Xia, Yuyu Yin, Philip S. Yu
2020 — conf
Low-shot Learning in Natural Language Processing.
CogMI
Congying Xia, Chenwei Zhang, Jiawei Zhang, Tingting Liang, Hao Peng, Philip S. Yu
2020 B conf
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing.
COLING
Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu
2020 J jnl
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing.
CoRR
Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu
2020 J jnl
Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks.
CoRR
Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He
2020 B conf
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks.
COLING
Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He
2020 — conf
Semantic Matching and Aggregation Network for Few-shot Intent Detection.
EMNLP (Findings)
Hoang Nguyen, Chenwei Zhang, Congying Xia, Philip S. Yu
2019 J jnl
Multi-Grained Named Entity Recognition.
CoRR
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu
2019 — conf
Multi-grained Named Entity Recognition.
ACL (1)
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu
2018 — conf
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks.
ICBK
Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu
2018 J jnl
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks.
CoRR
Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu
2018 A* conf
Zero-shot User Intent Detection via Capsule Neural Networks.
EMNLP
Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
2018 J jnl
Zero-shot User Intent Detection via Capsule Neural Networks.
CoRR
Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
2017 A* conf
BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder.
ICDM
Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu
2017 J jnl
BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder.
CoRR
Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu