---
title: "Who cites Neural Natural Language Inference Models…"
description: "The papers of the Elamur Research library that cite «Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and…"
canonical: "https://research.elamur.ai/free/en/papers/geiger-2020-neural-natural-language-inference-models/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/geiger-2020-neural-natural-language-inference-models/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Neural Natural Language Inference Models…](https://md.research.elamur.ai/free/en/papers/geiger-2020-neural-natural-language-inference-models/) / cited by

# 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](https://md.research.elamur.ai/free/en/papers/geiger-2020-neural-natural-language-inference-models/)

1. [Arithmetic in the Wild: Llama uses Base-10 Addition to Reason About Cyclic Concepts](https://arxiv.org/abs/2605.01148) *— 2026 · arXiv:2605.01148*
2. [Assessing Logical Coherence of LLMs via Fine-Grained NLI](https://aclanthology.org/2026.lrec-1.423/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
3. [Cell-Based Representation of Relational Binding in Language Models](https://aclanthology.org/2026.acl-long.2194/) *— 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](https://aclanthology.org/2026.acl-long.808/) *— 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](https://aclanthology.org/2026.acl-short.61/) *— 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](https://aclanthology.org/2026.acl-long.154/) *— 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](https://arxiv.org/abs/2602.16200) *— 2026 · arXiv:2602.16200*
8. [Thunder-NUBench: A Benchmark for LLMs” Sentence-Level Negation Understanding](https://aclanthology.org/2026.findings-eacl.250/) *— 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](https://aclanthology.org/2026.findings-acl.1144/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
10. [Characterizing the Role of Similarity in the Property Inferences of Language Models](https://aclanthology.org/2025.naacl-long.574/) *— 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](https://aclanthology.org/2025.findings-emnlp.1133/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
12. [How Reliable are Causal Probing Interventions?](https://aclanthology.org/2025.ijcnlp-long.47/) *— 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](https://aclanthology.org/2025.naacl-long.407/) *— 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](https://aclanthology.org/2025.acl-long.974/) *— 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](https://arxiv.org/abs/2405.00208) *— 2024 · arXiv:2405.00208*
16. [AtP*: An efficient and scalable method for localizing LLM behaviour to components](https://arxiv.org/abs/2403.00745) *— 2024 · arXiv:2403.00745*
17. [Compositional Structured Explanation Generation with Dynamic Modularized Reasoning](https://aclanthology.org/2024.starsem-1.31/) *— 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](https://aclanthology.org/2024.lrec-main.559/) *— 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](https://aclanthology.org/2024.tacl-1.51/) *— 2024 · Transactions of the Association for Computational Linguistics*
20. [Inference and Verbalization Functions During In-Context Learning](https://aclanthology.org/2024.findings-emnlp.957/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
21. [Information Flow Routes: Automatically Interpreting Language Models at Scale](https://aclanthology.org/2024.emnlp-main.965/) *— 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](https://aclanthology.org/2024.genbench-1.11/) *— 2024 · Proceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLP*
23. [LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models](https://aclanthology.org/2024.acl-demos.6/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
24. [Language Models Linearly Represent Sentiment](https://aclanthology.org/2024.blackboxnlp-1.5/) *— 2024 · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP*
25. [Mechanistic?](https://aclanthology.org/2024.blackboxnlp-1.30/) *— 2024 · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP*
26. [Mission: Impossible Language Models](https://aclanthology.org/2024.acl-long.787/) *— 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](https://aclanthology.org/2024.acl-long.470/) *— 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](https://aclanthology.org/2024.blackboxnlp-1.17/) *— 2024 · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP*
29. [Representational Analysis of Binding in Language Models](https://aclanthology.org/2024.emnlp-main.967/) *— 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](https://aclanthology.org/2024.eacl-long.27/) *— 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](https://aclanthology.org/2024.naacl-demo.16/) *— 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](https://aclanthology.org/2023.findings-emnlp.674/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
33. [Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models](https://aclanthology.org/2023.findings-acl.472/) *— 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](https://aclanthology.org/2023.eacl-main.213/) *— 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](https://aclanthology.org/2023.blackboxnlp-1.12/) *— 2023 · Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP*
36. [Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability](https://arxiv.org/abs/2301.04709) *— 2023 · arXiv:2301.04709*
37. [Causal interventions expose implicit situation models for commonsense language understanding](https://aclanthology.org/2023.findings-acl.839/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
38. [Interpretability at Scale: Identifying Causal Mechanisms in Alpaca](https://arxiv.org/abs/2305.08809) *— 2023 · arXiv:2305.08809*
39. [Interventional Probing in High Dimensions: An NLI Case Study](https://aclanthology.org/2023.findings-eacl.188/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
40. [Language models are not naysayers: An analysis of language models on negation benchmarks](https://arxiv.org/abs/2306.08189) *— 2023 · arXiv:2306.08189*
41. [Linear Representations of Sentiment in Large Language Models](https://arxiv.org/abs/2310.15154) *— 2023 · arXiv:2310.15154*
42. [Localizing Model Behavior with Path Patching](https://arxiv.org/abs/2304.05969) *— 2023 · arXiv:2304.05969*
43. [NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic](https://aclanthology.org/2023.acl-long.554/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [SETI: Systematicity Evaluation of Textual Inference](https://aclanthology.org/2023.findings-acl.252/) *— 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](https://aclanthology.org/2023.acl-short.154/) *— 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](https://arxiv.org/abs/2310.06824) *— 2023 · arXiv:2310.06824*
47. [Towards Best Practices of Activation Patching in Language Models: Metrics and Methods](https://arxiv.org/abs/2309.16042) *— 2023 · arXiv:2309.16042*
48. [ANLIzing the Adversarial Natural Language Inference Dataset](https://aclanthology.org/2022.scil-1.3/) *— 2022 · Proceedings of the Society for Computation in Linguistics 2022*
49. [An Analysis of Negation in Natural Language Understanding Corpora](https://aclanthology.org/2022.acl-short.81/) *— 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](https://aclanthology.org/2022.emnlp-main.598/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
51. [Can Transformers Reason in Fragments of Natural Language?](https://aclanthology.org/2022.emnlp-main.768/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
52. [Causal Distillation for Language Models](https://aclanthology.org/2022.naacl-main.318/) *— 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](https://aclanthology.org/2022.blackboxnlp-1.33/) *— 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](https://aclanthology.org/2022.repl4nlp-1.11/) *— 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](https://aclanthology.org/2022.blackboxnlp-1.20/) *— 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](https://aclanthology.org/2022.tacl-1.14/) *— 2022 · Transactions of the Association for Computational Linguistics*
57. [Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences](https://aclanthology.org/2022.findings-emnlp.252/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
58. [Transformers in the loop: Polarity in neural models of language](https://aclanthology.org/2022.acl-long.455/) *— 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](https://aclanthology.org/2021.conll-1.19/) *— 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
60. [Causal Abstractions of Neural Networks](https://arxiv.org/abs/2106.02997) *— 2021 · arXiv:2106.02997*
61. [Constructing Taxonomies from Pretrained Language Models](https://aclanthology.org/2021.naacl-main.373/) *— 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](https://aclanthology.org/2021.eacl-main.78/) *— 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](https://aclanthology.org/2021.findings-acl.331/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
64. [Issues with Entailment-based Zero-shot Text Classification](https://aclanthology.org/2021.acl-short.99/) *— 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](https://aclanthology.org/2021.naacl-main.138/) *— 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](https://aclanthology.org/2021.conll-1.41/) *— 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
67. [Supporting Context Monotonicity Abstractions in Neural NLI Models](https://aclanthology.org/2021.naloma-1.6/) *— 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](https://aclanthology.org/2021.findings-acl.10/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*