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Wang, Qifan

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69 papers 2020–2026

How Do Large Language Models Learn Concepts During Continual Pre-Training?

Yao, Barry Menglong, Li, Sha, Yao, Yunzhi, Liu, Minqian, Xia, Zaishuo, Wang, Qifan
+1 more show fewer
Huang, Lifu
2026-01 Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing

LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models

Zhu, Xi, Xue, Haochen, Zhao, Ziwei, Xu, Wujiang, Huang, Ching-Yuen, Guo, Minghao
+4 more show fewer
Wang, Qifan, Zhou, Kaixiong, Razzak, Imran, Zhang, Yongfeng
2026-01 Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing

Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think?

Wang, Shouren, Yang, Wang, Long, Xianxuan, Ganguly, Debargha, Wang, Qifan, Chaudhary, Vipin
+1 more show fewer
Han, Xiaotian
2026-01 Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing

Teacher-Guided Policy Optimization for On-Policy Reasoning Distillation under Large Policy Divergence

Liu, Xinyu, Jiao, Kechen, Xiao, Chunyang, Zhao, Runsong, Ruan, Junhao, Li, Bei
+7 more show fewer
Liu, Jiahao, Wang, Qifan, Chen, Xin, Wang, Jingang, Wang, Chenglong, Xiao, Tong, Zhu, JingBo
2026-01 Findings of the Association for Computational Linguistics: EMNLP 2026

ETC: Encoding Long and Structured Inputs in Transformers

Ainslie, Joshua, Onta\~n\'on, Santiago, Alberti, Chris, Cvicek, Vaclav, Fisher, Zachary, Pham, Philip
+4 more show fewer
Ravula, Anirudh, Sanghai, Sumit, Wang, Qifan, Yang, Li
2020-01 Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations

Chen, Borun, Tang, Hongyin, Bu, Jiahao, Zhang, Kai, Wang, Jingang, Wang, Qifan
+3 more show fewer
Zheng, Hai-Tao, Wu, Wei, Yu, Liqian
2022-01 Proceedings of the 29th International Conference on Computational Linguistics

Autoregressive Entity Generation for End-to-End Task-Oriented Dialog

Huang, Guanhuan, Quan, Xiaojun, Wang, Qifan
2022-01 Proceedings of the 29th International Conference on Computational Linguistics

XPrompt: Exploring the Extreme of Prompt Tuning

Ma, Fang, Zhang, Chen, Ren, Lei, Wang, Jingang, Wang, Qifan, Wu, Wei
+2 more show fewer
Quan, Xiaojun, Song, Dawei
2022-01 Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Federated Model Decomposition with Private Vocabulary for Text Classification

Zhang, Zhuo, Hu, Xiangjing, Qu, Lizhen, Wang, Qifan, Xu, Zenglin
2022-01 Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

VIRT: Improving Representation-based Text Matching via Virtual Interaction

Li, Dan, Yang, Yang, Tang, Hongyin, Liu, Jiahao, Wang, Qifan, Wang, Jingang
+3 more show fewer
Xu, Tong, Wu, Wei, Chen, Enhong
2022-01 Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation

Wang, Qifan, Yang, Li, Quan, Xiaojun, Feng, Fuli, Liu, Dongfang, Xu, Zenglin
+2 more show fewer
Wang, Sinong, Ma, Hao
2022-01 Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction

Wang, Qifan, Yang, Li, Wang, Jingang, Krishnan, Jitin, Dai, Bo, Wang, Sinong
+3 more show fewer
Xu, Zenglin, Khabsa, Madian, Ma, Hao
2022-01 Findings of the Association for Computational Linguistics: EMNLP 2022

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank

Liu, Jiduan, Liu, Jiahao, Wang, Qifan, Wang, Jingang, Wu, Wei, Xian, Yunsen
+3 more show fewer
Zhao, Dongyan, Chen, Kai, Yan, Rui
2023-01 Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Disentangled Phonetic Representation for Chinese Spelling Correction

Liang, Zihong, Quan, Xiaojun, Wang, Qifan
2023-01 Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression

Wu, Siyue, Chen, Hongzhan, Quan, Xiaojun, Wang, Qifan, Wang, Rui
2023-01 Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales

Joshi, Brihi, Liu, Ziyi, Ramnath, Sahana, Chan, Aaron, Tong, Zhewei, Nie, Shaoliang
+3 more show fewer
Wang, Qifan, Choi, Yejin, Ren, Xiang
2023-01 Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

MUSTIE: Multimodal Structural Transformer for Web Information Extraction

Wang, Qifan, Wang, Jingang, Quan, Xiaojun, Feng, Fuli, Xu, Zenglin, Nie, Shaoliang
+4 more show fewer
Wang, Sinong, Khabsa, Madian, Firooz, Hamed, Liu, Dongfang
2023-01 Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation

Wang, Nan, Wang, Qifan, Wang, Yi-Chia, Sanjabi, Maziar, Liu, Jingzhou, Firooz, Hamed
+2 more show fewer
Wang, Hongning, Nie, Shaoliang
2023-01 Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing