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title: "Who cites A large annotated — page 5 — 2,008 citing papers"
description: "2008 papers of the Elamur Research library cite «A large annotated corpus for learning natural language inference», found in their…"
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# Who cites «A large annotated corpus for learning natural language inference»

2008 papers of our library cite it (of the 149,439 whose bibliographies we read) · 427 with a page here, the most cited first · page 5 of 5 · 401–427 · [← back to «A large annotated corpus for learning natural language inference»](https://md.research.elamur.ai/free/en/papers/bowman-2015-large-annotated-corpus-learning-natural/)

[← prev](https://md.research.elamur.ai/free/en/papers/bowman-2015-large-annotated-corpus-learning-natural/cited-by/page/4/) [1](https://md.research.elamur.ai/free/en/papers/bowman-2015-large-annotated-corpus-learning-natural/cited-by/) … [4](https://md.research.elamur.ai/free/en/papers/bowman-2015-large-annotated-corpus-learning-natural/cited-by/page/4/) **5**

401. **[E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral-benchmarks/) [IEEE Access](https://md.research.elamur.ai/free/en/venues/ieee-access/)**Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi*2026*
402. [**E-CONAN (Entailment, CONtradition And Neutral) Diagnostics Dataset Investigating Linguistic Phenomena in Arabic Natural Language Understanding arXiv:2609.33530**Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi*2026*](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral/)
403. **[HU at SemEval-2026 Task 6: A Hybrid Discriminative Modeling of Political Clarity and Evasion](https://md.research.elamur.ai/free/en/papers/munawar-2026-hu-semeval-2026-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Taha Munawar, Basil Khan, Arsal Jangda, et al.*2026*
404. **[Large Language Models Put to the Test on Chinese Noun Compounds: Experiments on Natural Language Inference and Compound Semantics](https://md.research.elamur.ai/free/en/papers/qiu-2026-large-language-models-put-test/) [Workshop on Multiword Expressions (MWE)](https://md.research.elamur.ai/free/en/venues/mwe/)**Le Qiu, Emmanuele Chersoni, He Zhou, et al.*2026*
405. **[Measuring and Mitigating Shortcut Reliance in Language Models with Probe-Based Representation Entanglement](https://md.research.elamur.ai/free/en/papers/singh-2026-measuring-mitigating-shortcut-reliance-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Divyajot Singh*2026*
406. **[Modeling Perspectives in NLP: Parameter-Efficient Perspective Conditioning for Span Extraction and Summarization](https://md.research.elamur.ai/free/en/papers/saisudha-2026-modeling-perspectives-nlp-parameter-efficient/) [edition of NLPerspectives](https://md.research.elamur.ai/free/en/venues/nlperspectives/)**Harikrishnan Gurushankar Saisudha, Sabine Bergler*2026*
407. **[On the Representation Geometry of LoRA Model Merging](https://md.research.elamur.ai/free/en/papers/lu-2026-representation-geometry-lora-model-merging/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenyang Lu, Jiaru Li, Jinman Zhao, et al.*2026*
408. **[One Sentence, Two Embeddings: Contrastive Learning of Explicit and Implicit Semantic Representations](https://md.research.elamur.ai/free/en/papers/oda-2026-one-sentence-two-embeddings-contrastive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kohei Oda, Po-Min Chuang, Kiyoaki Shirai, et al.*2026*
409. **[One Word Is Not Enough: Simple Prompts Improve Word Embeddings](https://md.research.elamur.ai/free/en/papers/ranjan-2026-one-word-is-not-enough/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Rajeev Ranjan*2026*
410. **[Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-parallel-universes-parallel-languages-comprehensive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qianli Wang, Van Bach Nguyen, Yihong Liu, et al.*2026*
411. **[PEI at #SMM4H-HeaRD 2026: Enhancing Patient Metadata Detection via Hypothesis-Conditioned Classification and Paraphrase-Based Data Augmentation](https://md.research.elamur.ai/free/en/papers/zeidi-2026-pei-smm4h-heard-2026-enhancing/) [Social Media Mining for Health Research and Applications Workshop and Shared Tasks](https://md.research.elamur.ai/free/en/venues/smm4h/)**Farnaz Zeidi, Roman Christof, Farnoush Zeidi, et al.*2026*
412. **[Reference-Free Schema Generation for Literature Review Tables via Multi-Faceted Rewards](https://md.research.elamur.ai/free/en/papers/saha-2026-reference-free-schema-generation-literature/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sinjoy Saha, Suman Saha, Mahfuza Farooque, et al.*2026*
413. [**Selection Shapes the Boundary: A Preregistered Replication of Monotonicity and Label Agreement in Unselected NLI Populations arXiv:2607.19231**Haram Choi*2026*](https://md.research.elamur.ai/free/en/papers/choi-2026-selection-shapes-boundary-preregistered-replication/)
414. **[Sentiment Syndicate at SemEval-2026 Task 6: Reframing Political Question–Answer Interactions via Natural Language Inference for Clarity Level Classification](https://md.research.elamur.ai/free/en/papers/rafsan-2026-sentiment-syndicate-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Rafi Rafsan*2026*
415. **[Soft Head Selection for Injecting ICL-Derived Task Embeddings](https://md.research.elamur.ai/free/en/papers/park-2026-soft-head-selection-injecting-icl/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jungwon Park, Jimyeong Kim, Changin Choi, et al.*2026*
416. **[SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents](https://md.research.elamur.ai/free/en/papers/wastl-2026-swissgov-rsd-human-annotated-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michelle Wastl, Jannis Vamvas, Rico Sennrich*2026*
417. **[Task-Related In-Context Learning](https://md.research.elamur.ai/free/en/papers/wang-2026-task-related-context-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenqiang Wang, Peng Chen, Yan Xiao, et al.*2026*
418. **[The Imperfective Paradox in Large Language Models](https://md.research.elamur.ai/free/en/papers/ma-2026-imperfective-paradox-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bolei Ma, Yusuke Miyao*2026*
419. **[Trustworthy and Explainable Causal Representation Learning in Transformers](https://md.research.elamur.ai/free/en/papers/liu-2026-trustworthy-explainable-causal-representation-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yang Liu, Yinghao Zhang, Lin Liu, et al.*2026*
420. **[Word Surprisal Correlates with Sentential Contradiction in LLMs](https://md.research.elamur.ai/free/en/papers/shi-2026-word-surprisal-correlates-sentential-contradiction/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ning Shi, Bradley Hauer, David Basil, et al.*2026*
421. **[A MISMATCHED Benchmark for Scientific Natural Language Inference](https://md.research.elamur.ai/free/en/papers/shaik-2025-mismatched-benchmark-scientific-natural-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Firoz Shaik, Mobashir Sadat, Nikita Gautam, et al.*2025*
422. **[Math Natural Language Inference: this should be easy!](https://md.research.elamur.ai/free/en/papers/paiva-2025-math-natural-language-inference-this/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Valeria de Paiva, Qiyue Gao, Hai Hu, et al.*2025*
423. **[When Does Meaning Backfire? Investigating the Role of AMRs in NLI](https://md.research.elamur.ai/free/en/papers/min-2025-when-does-meaning-backfire-investigating/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Junghyun Min, Xiulin Yang, Shira Wein*2025*
424. **[Can generative AI recognise textual entailment? (生成 AI は含意関係認識ができるのか)](https://md.research.elamur.ai/free/en/papers/arasawa-2024-can-generative-ai-recognise/) [Annual Meeting of the Association for Natural Language Processing](https://md.research.elamur.ai/free/en/venues/annual-meeting-of-the-association-for-natural-language-processing/)**荒沢康平, 狩野芳伸*2024*
425. [**Human Temporal Inferences Go Beyond Aspectual Class**Katarzyna Pruś, Mark Steedman, Adam Lopez*2024*](https://md.research.elamur.ai/free/en/papers/prus-2024-human-temporal-inferences-go-beyond/)
426. **[Role of Context in Unsupervised Sentence Representation Learning: the Case of Dialog Act Modeling](https://md.research.elamur.ai/free/en/papers/hronsky-2023-role-context-unsupervised-sentence-representation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rastislav Hronsky, Emmanuel Keuleers*2023*
427. [**Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference arXiv:2101.07397**Qingyuan Hu, Yi Zhang, Kanishka Misra, et al.*2021*](https://md.research.elamur.ai/free/en/papers/hu-2021-exploring-lexical-irregularities-hypothesis-only/)

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