Who cites Shiyu Chang
- Making Pre-trained Language Models Better Few-shot LearnersTianyu Gao, Adam Fisch, Danqi Chen2021 · 1,963 citations
- Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language InferenceTimo Schick, Hinrich Schütze2021 · 1,803 citations
- ERASER: A Benchmark to Evaluate Rationalized NLP ModelsJay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, et al.2020 · 821 citations
- Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness?Alon Jacovi, Yoav Goldberg2020 · 748 citations
- A Survey on Automated Fact-CheckingZhijiang Guo, Michael Schlichtkrull, Andreas Vlachos2022 · 646 citations
- The FineWeb Datasets: Decanting the Web for the Finest Text Data at ScaleGuilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.2024 · 404 citations
- A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosMichael A. Hedderich, Lukas Lange, Heike Adel, et al.2021 · 400 citations
- RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningMingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.2022 · 328 citations
- Induction Networks for Few-Shot Text ClassificationRuiying Geng, Binhua Li, Yongbin Li, et al.2019 · 263 citations
- Personalizing Dialogue Agents via Meta-LearningAndrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, et al.2019 · 246 citations
- Learning to Faithfully Rationalize by ConstructionSarthak Jain, Sarah Wiegreffe, Yuval Pinter, et al.2020 · 223 citations
- Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 174 citations
- Zero-Shot Cross-Lingual Transfer with Meta LearningFarhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, et al.2020 · 171 citations
- Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights CasesIlias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, et al.2021 · 167 citations
- DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
- Explaining NLP Models via Minimal Contrastive Editing (MiCE)Alexis Ross, Ana Marasović, Matthew Peters2021 · 154 citations
- Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsYang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 153 citations
- RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-EncoderShitao Xiao, Zheng Liu, Yingxia Shao, et al.2022 · 145 citations
- An Information Bottleneck Approach for Controlling Conciseness in Rationale ExtractionBhargavi Paranjape, Mandar Joshi, John Thickstun, et al.2020 · 137 citations
- Scaling Sentence Embeddings with Large Language ModelsTing Jiang, Shaohan Huang, Zhongzhi Luan, et al.2024 · 126 citations
- SimLM: Pre-training with Representation Bottleneck for Dense Passage RetrievalLiang Wang, Nan Yang, Xiaolong Huang, et al.2023 · 106 citations
- AnglE-optimized Text EmbeddingsXianming Li, Jing Li2023 · 102 citations
- FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every LanguageGuilherme Penedo, Hynek Kydliček, Vinko Sabolčec, et al.2025 · 97 citations
- Faithfulness Tests for Natural Language ExplanationsPepa Atanasova, Oana-Maria Camburu, Christina Lioma, et al.2023 · 92 citations
- Mitigating Language Bias in Multilingual Sentence Embeddings for Cross-Lingual Similarity EstimationKanade Nonomura, Keita Fukushima, Risa Kondo, et al.2026 · 1 citation
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