🧑‍🔬 Who cites Lawrence S. Moss

186 citations of their works from 172 papers of our library (of the 141,840 whose bibliographies we read) · 33 with a page here, the most cited first · ← Lawrence S. Moss

1. Qwen Technical ReportJinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,645 citations
2. Pre-Training with Whole Word Masking for Chinese BERTYiming Cui, Wanxiang Che, Ting Liu, et al.2019 · 1,490 citations
3. PPT: Pre-trained Prompt Tuning for Few-shot LearningYuxian Gu, Xu Han, Zhiyuan Liu, et al.2022 · 469 citations
4. Transformers as Soft Reasoners over LanguagePeter Clark, Oyvind Tafjord, Kyle Richardson2020 · 376 citations
5. Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for LittleKoustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.2021 · 292 citations
6. CLUE: A Chinese Language Understanding Evaluation BenchmarkLiang Xu, Hai Hu, Xuanwei Zhang, et al.2020 · 243 citations
7. How Context Affects Language Models' Factual PredictionsFabio Petroni, Patrick Lewis, Aleksandra Piktus, et al.2020 · 231 citations
8. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionPaloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.2020 · 161 citations
9. CPM: A Large-scale Generative Chinese Pre-trained Language ModelZhengyan Zhang, Xu Han, Hao Zhou, et al.2020 · 149 citations
10. OCNLI: Original Chinese Natural Language InferenceHai Hu, Kyle Richardson, Liang Xu, et al.2020 · 147 citations
11. UnNatural Language InferenceKoustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, et al.2021 · 132 citations
12. Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and NegationAtticus Geiger, Kyle Richardson, Christopher Potts2020 · 112 citations
13. Probing Natural Language Inference Models through Semantic FragmentsKyle Richardson, Hai Hu, Lawrence S. Moss, et al.2019 · 102 citations
14. PRover: Proof Generation for Interpretable Reasoning over RulesSwarnadeep Saha, Sayan Ghosh, Shashank Srivastava, et al.2020 · 101 citations
15. BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual TransferAkari Asai, Sneha Kudugunta, Xinyan Yu, et al.2024 · 85 citations
16. SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural ReasoningBin Wang, Zhengyuan Liu, Xin Huang, et al.2024 · 85 citations
17. Are Pretrained Language Models Symbolic Reasoners over Knowledge?Nora Kassner, Benno Krojer, Hinrich Schütze2020 · 79 citations
18. Figurative Language in Recognizing Textual EntailmentTuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, et al.2021 · 63 citations
19. Culturally Aware Natural Language InferenceJing Huang, Diyi Yang2023 · 61 citations
20. ConjNLI: Natural Language Inference Over Conjunctive SentencesSwarnadeep Saha, Yixin Nie, Mohit Bansal2020 · 50 citations
21. ANLIzing the Adversarial Natural Language Inference DatasetAdina Williams, Tristan Thrush, Douwe Kiela2022 · 48 citations
22. CxGBERT: BERT meets Construction GrammarHarish Tayyar Madabushi, Laurence Romain, Dagmar Divjak, et al.2020 · 46 citations
23. Exploring Transitivity in Neural NLI Models through VeridicalityHitomi Yanaka, Koji Mineshima, Kentaro Inui2021 · 27 citations
24. Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and modelsViktor Schlegel, Goran Nenadic, Riza Batista-Navarro2020 · 24 citations
25. When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs)Reto Gubelmann, Aikaterini-lida Kalouli, Christina Niklaus, et al.2023 · 15 citations
26. ArNLI: Arabic Natural Language Inference for Entailment and Contradiction DetectionKhloud Al Jallad, Nada Ghneim2022 · 9 citations
27. Decomposing Natural Logic Inferences for Neural NLIJulia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, et al.2022 · 8 citations
28. Simple but Challenging: Natural Language Inference Models Fail on Simple SentencesCheng Luo, Wei Liu, Jieyu Lin, et al.2022 · 7 citations
29. Annotation Difficulties in Natural Language InferenceAikaterini-Lida Kalouli, Livy Real, Annebeth Buis, et al.2021 · 5 citations
30. Supporting Context Monotonicity Abstractions in Neural NLI ModelsJulia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, et al.2021 · 5 citations
31. Probing the Natural Language Inference Task with Automated Reasoning ToolsZaid Marji, Animesh Nighojkar, John Licato2020 · 3 citations
32. Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic PatternsReto Gubelmann, Siegfried Handschuh2022 · 2 citations
33. Large Language Models Put to the Test on Chinese Noun Compounds: Experiments on Natural Language Inference and Compound SemanticsLe Qiu, Emmanuele Chersoni, He Zhou, et al.2026

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