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. Thunder-NUBench: A Benchmark for LLMs'' Sentence-Level Negation Understanding — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
6. Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation — 2025 · Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025)
7. 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
8. 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)
9. 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)
10. 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)
11. 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
12. Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
13. Can Pretrained Language Models (Yet) Reason Deductively? — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
14. Consistency Analysis of ChatGPT — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
15. Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning — 2023 · The 7th Workshop on Online Abuse and Harms (WOAH)
16. Evaluating Large Language Models at Evaluating Instruction Following — 2023 · arXiv:2310.07641
17. It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
18. Language models are not naysayers: An analysis of language models on negation benchmarks — 2023 · arXiv:2306.08189
19. Limits for learning with language models — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
20. 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)
21. NLMs: Augmenting Negation in Language Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
22. Natural Language Reasoning, A Survey — 2023 · arXiv:2303.14725
23. PASTA: A Dataset for Modeling PArticipant STAtes in Narratives — 2023 · Transactions of the Association for Computational Linguistics
24. 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)
25. 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)
26. ANLIzing the Adversarial Natural Language Inference Dataset — 2022 · Proceedings of the Society for Computation in Linguistics 2022
27. 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)
28. BECEL: Benchmark for Consistency Evaluation of Language Models — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
29. Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
30. CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
31. 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)
32. Developmental Negation Processing in Transformer Language Models — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
33. E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
34. 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
35. 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
36. 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
37. 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
38. KoBEST: Korean Balanced Evaluation of Significant Tasks — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
39. 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
40. 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)
41. TINA: Textual Inference with Negation Augmentation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
42. Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic Patterns — 2022 · arXiv:2201.07614
43. A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
44. 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)
45. Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
46. 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
47. IndoNLI: A Natural Language Inference Dataset for Indonesian — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
48. Investigating Negation in Pre-trained Vision-and-language Models — 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
49. 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
50. 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
51. abzianidze-2023-formal-proofs-structured-explanations-proposing
52. abzianidze-2023-spacenli-evaluating-consistency-predicting-inferences
53. barreto-2025-this-is-not-disimprovement-improving
54. benkler-2024-recognizing-value-resonance-resonance-tuned
55. bhattarai-2024-learn-or-not-learn-replaced
56. bourgeade-2021-plongements-interpretables-pour-la-detection
57. correa-2026-negation-aware-data-augmentation-portuguese
58. hammerla-2025-d-neg-syntax-aware-graph
59. jang-2023-improving-language-models-meaning-understanding
60. jung-2026-thunder-konubench-corpus-aligned-benchmark
61. lima-2026-synthetic-data-fine-tuning-effective
62. petcu-2025-comprehensive-taxonomy-negation-nlp-neural
63. rezaei-2025-making-language-models-robust-against
64. sineva-2021-negation-instance-based-evaluation-end
65. suzuki-2025-superfluous-instruction-vulnerabilities-stemming-task
66. yahya-2024-frend-french-resource-negation-data
67. yang-2023-measuring-consistency-text-based-financial
68. zhang-2025-negvqa-can-vision-language-models

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