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Who cites «Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation»

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

  1. Arithmetic in the Wild: Llama uses Base-10 Addition to Reason About Cyclic Concepts — 2026 · arXiv:2605.01148
  2. Assessing Logical Coherence of LLMs via Fine-Grained NLI — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  3. Cell-Based Representation of Relational Binding in Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  4. Immediate Inference: The Missing Foundation in Large Language Model Logical Reasoning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  5. LOGICAL-COMMONSENSEQA: A Benchmark for Logical Commonsense Reasoning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  6. Multi-component Causal Tracing in Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  7. The Validity of Coreference-based Evaluations of Natural Language Understanding — 2026 · arXiv:2602.16200
  8. Thunder-NUBench: A Benchmark for LLMs'' Sentence-Level Negation Understanding — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  9. When Models Decide and When They Bind: A Two-Stage Computation for Multiple-Choice Question Answering — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  10. Characterizing the Role of Similarity in the Property Inferences of Language Models — 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)
  11. Distinguishing fair from unfair compositional generalization tasks — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  12. How Reliable are Causal Probing Interventions? — 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
  13. Sneaking Syntax into Transformer Language Models with Tree Regularization — 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. Steering off Course: Reliability Challenges in Steering Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  15. A Primer on the Inner Workings of Transformer-based Language Models — 2024 · arXiv:2405.00208
  16. AtP*: An efficient and scalable method for localizing LLM behaviour to components — 2024 · arXiv:2403.00745
  17. Compositional Structured Explanation Generation with Dynamic Modularized Reasoning — 2024 · Proceedings of the 13th Joint Conference on Lexical and Computational Semantics (*SEM 2024)
  18. Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  19. Exploring Continual Learning of Compositional Generalization in NLI — 2024 · Transactions of the Association for Computational Linguistics
  20. Inference and Verbalization Functions During In-Context Learning — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  21. Information Flow Routes: Automatically Interpreting Language Models at Scale — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  22. Investigating the Generalizability of Pretrained Language Models across Multiple Dimensions: A Case Study of NLI and MRC — 2024 · Proceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLP
  23. LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
  24. Language Models Linearly Represent Sentiment — 2024 · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP
  25. Mechanistic? — 2024 · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP
  26. Mission: Impossible Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  27. RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  28. Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations — 2024 · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP
  29. Representational Analysis of Binding in Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  30. Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  31. \textttpyvene: A Library for Understanding and Improving PyTorch Models via Interventions — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations)
  32. Balaur: Language Model Pretraining with Lexical Semantic Relations — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  33. Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  34. COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  35. Causal Abstraction for Chain-of-Thought Reasoning in Arithmetic Word Problems — 2023 · Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP
  36. Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability — 2023 · arXiv:2301.04709
  37. Causal interventions expose implicit situation models for commonsense language understanding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  38. Interpretability at Scale: Identifying Causal Mechanisms in Alpaca — 2023 · arXiv:2305.08809
  39. Interventional Probing in High Dimensions: An NLI Case Study — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  40. Language models are not naysayers: An analysis of language models on negation benchmarks — 2023 · arXiv:2306.08189
  41. Linear Representations of Sentiment in Large Language Models — 2023 · arXiv:2310.15154
  42. Localizing Model Behavior with Path Patching — 2023 · arXiv:2304.05969
  43. NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  44. SETI: Systematicity Evaluation of Textual Inference — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  45. 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)
  46. The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets — 2023 · arXiv:2310.06824
  47. Towards Best Practices of Activation Patching in Language Models: Metrics and Methods — 2023 · arXiv:2309.16042
  48. ANLIzing the Adversarial Natural Language Inference Dataset — 2022 · Proceedings of the Society for Computation in Linguistics 2022
  49. 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)
  50. CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  51. Can Transformers Reason in Fragments of Natural Language? — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  52. Causal Distillation for Language Models — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  53. Decomposing Natural Logic Inferences for Neural NLI — 2022 · Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
  54. Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models — 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP
  55. 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
  56. Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference — 2022 · Transactions of the Association for Computational Linguistics
  57. Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  58. Transformers in the loop: Polarity in neural models of language — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  59. A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
  60. Causal Abstractions of Neural Networks — 2021 · arXiv:2106.02997
  61. Constructing Taxonomies from Pretrained Language Models — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  62. Exploring Transitivity in Neural NLI Models through Veridicality — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  63. Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  64. Issues with Entailment-based Zero-shot Text Classification — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
  65. Modeling Event Plausibility with Consistent Conceptual Abstraction — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  66. Negation-Instance Based Evaluation of End-to-End Negation Resolution — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
  67. Supporting Context Monotonicity Abstractions in Neural NLI Models — 2021 · Proceedings of the 1st and 2nd Workshops on Natural Logic Meets Machine Learning (NALOMA)
  68. SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021