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Who cites «An Analysis of Natural Language Inference Benchmarks through the Lens of Negation»

68 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

  1. As Easy as Rocket Science: Assessing the Ability of Large Language Models to Interpret Negation in Figurative Language — 2026 · Transactions of the Association for Computational Linguistics
  2. Commonsense Knowledge with Negation: A Resource to Enhance Negation Understanding — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  3. JSTS-Neg: Japanese Semantic Textual Similarity Dataset for Evaluating Negation Understanding Ability — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  4. NegNLI-BR: A Brazilian Portuguese Benchmark for Negation in Natural Language Inference — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  5. Negation-Aware Data Augmentation for Portuguese Natural Language Inference — 2026 · Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1
  6. Synthetic Data Fine-Tuning for Effective Team Formation in Enterprises — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 5: Industry Track)
  7. Thunder-KoNUBench: A Corpus-Aligned Benchmark for Korean Negation Understanding — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  8. Thunder-NUBench: A Benchmark for LLMs'' Sentence-Level Negation Understanding — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  9. A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  10. D-Neg: Syntax-Aware Graph Reasoning for Negation Detection — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
  11. Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation — 2025 · Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025)
  12. Linking language model predictions to human behaviour on scalar implicatures — 2025 · Proceedings of Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @ COLING 2025
  13. Making Language Models Robust Against Negation — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  14. NegVQA: Can Vision Language Models Understand Negation? — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  15. Superfluous Instruction: Vulnerabilities Stemming from Task-Specific Superficial Expressions in Instruction Templates — 2025 · Proceedings of the 3rd Workshop on Towards Knowledgeable Foundation Models (KnowFM)
  16. This is not a Disimprovement: Improving Negation Reasoning in Large Language Models via Prompt Engineering — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  17. Benchmark Transparency: Measuring the Impact of Data on Evaluation — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  18. FReND: A French Resource of Negation Data — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  19. It is not True that Transformers are Inductive Learners: Probing NLI Models with External Negation — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  20. Recognizing Value Resonance with Resonance-Tuned RoBERTa Task Definition, Experimental Validation, and Robust Modeling — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  21. Revisiting subword tokenization: A case study on affixal negation in large language models — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  22. To Learn or Not to Learn: Replaced Token Detection for Learning the Meaning of Negation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  23. Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  24. Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  25. Can Pretrained Language Models (Yet) Reason Deductively? — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  26. Consistency Analysis of ChatGPT — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  27. Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning — 2023 · The 7th Workshop on Online Abuse and Harms (WOAH)
  28. Evaluating Large Language Models at Evaluating Instruction Following — 2023 · arXiv:2310.07641
  29. Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language Inference — 2023 · arXiv:2311.08637
  30. Improving Language Models' Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  31. It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  32. Language models are not naysayers: An analysis of language models on negation benchmarks — 2023 · arXiv:2306.08189
  33. Limits for learning with language models — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
  34. Measuring Consistency in Text-based Financial Forecasting Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  35. Multi-VALUE: A Framework for Cross-Dialectal English NLP — our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  36. NLMs: Augmenting Negation in Language Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  37. Natural Language Reasoning, A Survey — 2023 · arXiv:2303.14725
  38. PASTA: A Dataset for Modeling PArticipant STAtes in Narratives — 2023 · Transactions of the Association for Computational Linguistics
  39. ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  40. SpaceNLI: Evaluating the Consistency of Predicting Inferences In Space — 2023 · Proceedings of the 4th Natural Logic Meets Machine Learning Workshop
  41. Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference — 2023 · Proceedings of the 1st Workshop on Natural Language Reasoning and Structured Explanations (NLRSE)
  42. ANLIzing the Adversarial Natural Language Inference Dataset — 2022 · Proceedings of the Society for Computation in Linguistics 2022
  43. An Analysis of Negation in Natural Language Understanding Corpora — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  44. BECEL: Benchmark for Consistency Evaluation of Language Models — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  45. Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  46. CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  47. Context Matters: A Pragmatic Study of PLMs'' Negation Understanding — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  48. Developmental Negation Processing in Transformer Language Models — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  49. E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  50. Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  51. Improving negation detection with negation-focused pre-training — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  52. InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  53. It Is Not Easy To Detect Paraphrases: Analysing Semantic Similarity With Antonyms and Negation Using the New SemAntoNeg Benchmark — 2022 · Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
  54. KoBEST: Korean Balanced Evaluation of Significant Tasks — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  55. LogiTorch: A PyTorch-based library for logical reasoning on natural language — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  56. Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  57. TINA: Textual Inference with Negation Augmentation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  58. Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic Patterns — 2022 · arXiv:2201.07614
  59. A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
  60. Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  61. Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  62. Dynabench: Rethinking Benchmarking in NLP — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  63. IndoNLI: A Natural Language Inference Dataset for Indonesian — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  64. Investigating Negation in Pre-trained Vision-and-language Models — 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
  65. Negation-Instance Based Evaluation of End-to-End Negation Resolution — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
  66. Plongements Interprétables pour la Détection de Biais Cachés (Interpretable Embeddings for Hidden Biases Detection) — 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale
  67. Understanding by Understanding Not: Modeling Negation in Language Models — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  68. It''s not a Non-Issue: Negation as a Source of Error in Machine Translation — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020