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

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  1. Probing neural language models for understanding of words of estimative probability — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
  2. Robustness of Named-Entity Replacements for In-Context Learning — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  3. Scaling Data-Constrained Language Models — 2023 · arXiv:2305.16264
  4. SpaCE2022中文空间语义理解评测任务数据集分析报告(A Quality Assessment Report of the Chinese Spatial Cognition Evaluation Benchmark) — 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics
  5. SpaceNLI: Evaluating the Consistency of Predicting Inferences In Space — 2023 · Proceedings of the 4th Natural Logic Meets Machine Learning Workshop
  6. The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants — 2023 · arXiv:2308.16884 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics 749-775 2024
  7. The Role of Semantic Parsing in Understanding Procedural Text — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  8. Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models — 2023 · arXiv:2310.00836
  9. WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models — 2023 · arXiv:2311.15930
  10. 事前学習済み言語モデルの知識に基づく演繹推論能力の調査 — 2023 · 言語処理学会 第29回年次大会 発表論文集 (NLP2023)
  11. ANLIzing the Adversarial Natural Language Inference Dataset — 2022 · Proceedings of the Society for Computation in Linguistics 2022
  12. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models — 2022 · arXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj
  13. Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  14. Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models? — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  15. Coalescing Global and Local Information for Procedural Text Understanding — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  16. Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  17. Discovering Language Model Behaviors with Model-Written Evaluations — 2022 · arXiv:2212.09251
  18. Dyna-bAbI: unlocking bAbI''s potential with dynamic synthetic benchmarking — 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics
  19. Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task — 2022 · arXiv:2210.13382
  20. EvEntS ReaLM: Event Reasoning of Entity States via Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  21. Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  22. FaiRR: Faithful and Robust Deductive Reasoning over Natural Language — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  23. Good Night at 4 pm?! Time Expressions in Different Cultures — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  24. HiMA: A Fast and Scalable History-based Memory Access Engine for Differentiable Neural Computer — 2022 · arXiv:2202.07275
  25. Holistic Evaluation of Language Models — 2022 · arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023
  26. Interpretable Proof Generation via Iterative Backward Reasoning — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  27. LILA: A Unified Benchmark for Mathematical Reasoning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  28. Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought — 2022 · arXiv:2210.01240
  29. Leveraging Relaxed Equilibrium by Lazy Transition for Sequence Modeling — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  30. Logical Reasoning for Task Oriented Dialogue Systems — 2022 · Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5)
  31. NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  32. Quantifying Adaptability in Pre-trained Language Models with 500 Tasks — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  33. Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning — 2022 · arXiv:2205.09712
  34. StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts — our card · 2022 · arXiv:2204.08292
  35. The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning — 2022 · arXiv:2205.03401
  36. Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  37. Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  38. Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  39. A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware — 2021 · arXiv:2107.03992
  40. A Template-guided Hybrid Pointer Network for Knowledge-based Task-oriented Dialogue Systems — 2021 · Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc 2021)
  41. A2P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks — 2021 · arXiv:2101.09693
  42. Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  43. Benchmarking Machine Reading Comprehension: A Psychological Perspective — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  44. Controlled tasks for model analysis: Retrieving discrete information from sequences — 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
  45. Database reasoning over text — 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)
  46. Decoding Methods for Neural Narrative Generation — 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  47. English Machine Reading Comprehension Datasets: A Survey — our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  48. Evaluation Paradigms in Question Answering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  49. GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning — our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  50. Gaussian Process based Deep Dyna-Q approach for Dialogue Policy Learning — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  51. General-Purpose Question-Answering with Macaw — 2021 · arXiv:2109.02593
  52. Knowledge-driven Natural Language Understanding of English Text and its Applications — 2021 · arXiv:2101.11707
  53. Model Agnostic Answer Reranking System for Adversarial Question Answering — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
  54. PonderNet: Learning to Ponder — 2021 · arXiv:2107.05407
  55. Pretrain-Finetune Based Training of Task-Oriented Dialogue Systems in a Real-World Setting — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers
  56. Probabilistic Graph Reasoning for Natural Proof Generation — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  57. RuleBERT: Teaching Soft Rules to Pre-Trained Language Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  58. SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning — our card · 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  59. Sorting through the noise: Testing robustness of information processing in pre-trained language models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  60. Textual Time Travel: A Temporally Informed Approach to Theory of Mind — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  61. Time-Stamped Language Model: Teaching Language Models to Understand The Flow of Events — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  62. Unsupervised Multiple Choices Question Answering: Start Learning from Basic Knowledge — 2021 · Proceedings of the 3rd Workshop on Machine Reading for Question Answering
  63. Who''s on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
  64. multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  65. A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering — 2020 · arXiv:2005.05257
  66. A Dataset for Tracking Entities in Open Domain Procedural Text — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  67. Are Pretrained Language Models Symbolic Reasoners over Knowledge? — 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning
  68. Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  69. Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  70. DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  71. Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner''s Perspective — 2020 · Proceedings of the Fourth Workshop on Structured Prediction for NLP
  72. HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data — 2020 · arXiv:2004.07347
  73. INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving — 2020 · arXiv:2007.02924
  74. Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  75. Is Language Modeling Enough? Evaluating Effective Embedding Combinations — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  76. LifeQA: A Real-life Dataset for Video Question Answering — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  77. Linguistic Appropriateness and Pedagogic Usefulness of Reading Comprehension Questions — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  78. MRC Examples Answerable by BERT without a Question Are Less Effective in MRC Model Training — 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop
  79. PRover: Proof Generation for Interpretable Reasoning over Rules — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  80. Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  81. Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base — 2020 · arXiv:2002.06115
  82. The Margarita Dialogue Corpus: A Data Set for Time-Offset Interactions and Unstructured Dialogue Systems — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  83. To Test Machine Comprehension, Start by Defining Comprehension — 2020 · arXiv:2005.01525
  84. Towards Transparent and Explainable Attention Models — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  85. Transformers as Soft Reasoners over Language — 2020 · arXiv:2002.05867
  86. Understanding Procedural Text using Interactive Entity Networks — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  87. Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  88. Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  89. Évaluation systématique d'une méthode commune de génération (Systematic evaluation of a common generation method) — 2020 · Actes de la 6e conférence conjointe Journées d''Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 3 : Rencontre des Étudiants Chercheurs en Informatique pour le TAL
  90. 應用多跳躍注意記憶關聯於記憶網路之研究 (A Research of Applying Multi-hop Attention and Memory Relations on Memory Networks) — 2020
  91. Active Reading Comprehension: A Dataset for Learning the Question-Answer Relationship Strategy — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
  92. Analysing Mathematical Reasoning Abilities of Neural Models — 2019 · arXiv:1904.01557
  93. Answering Naturally: Factoid to Full length Answer Generation — 2019 · Proceedings of the 2nd Workshop on New Frontiers in Summarization
  94. Are Red Roses Red? Evaluating Consistency of Question-Answering Models — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  95. Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets — 2019 · arXiv:1911.09241
  96. Attention is not Explanation — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  97. Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  98. Be Consistent! Improving Procedural Text Comprehension using Label Consistency — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  99. BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  100. CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

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