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Who cites «Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks»

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

Pages: 1 · 2 · 3 · 4

  1. Improving Chain-of-Thought for Logical Reasoning via Attention-Aware Intervention — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  2. Logic Haystacks: Probing LLMs'' Long-Context Logical Reasoning (Without Easily Identifiable Unrelated Padding) — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
  3. Multi-Constraint State Tracking with Negation: A Diagnostic Benchmark for LLM World Modeling — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  4. NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPO — 2026 · arXiv:2607.03957
  5. PBEBench: A Multi-Step Programming by Examples Reasoning Benchmark inspired by Historical Linguistics — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  6. QSTRBench: a New Benchmark to Evaluate the Ability of Language Models to Reason with Qualitative Spatial and Temporal Calculi — 2026 · arXiv:2605.18380
  7. Word Surprisal Correlates with Sentential Contradiction in LLMs — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  8. A Comprehensive Survey on Long Context Language Modeling — 2025 · arXiv:2503.17407
  9. BIG-Bench Extra Hard — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  10. Elements of World Knowledge ( EWoK ): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models — 2025
  11. From Reasoning to Learning: A Survey on Hypothesis Discovery and Rule Learning with Large Language Models — 2025 · arXiv:2505.21935
  12. More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  13. Temporal Relation Classification: An XAI Perspective — 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
  14. Theory of Mind in Large Language Models: Assessment and Enhancement — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  15. Towards Rationality in Language and Multimodal Agents: A Survey — 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)
  16. Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark — 2024 · arXiv:2401.03991
  17. Aquila2 Technical Report — 2024 · arXiv:2408.07410
  18. Are self-explanations from Large Language Models faithful? — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  19. BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — 2024 · arXiv:2406.10149
  20. Belief Revision: The Adaptability of Large Language Models Reasoning — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  21. Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  22. Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  23. Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus — 2024 · arXiv:2411.12498
  24. Instruction Pre-Training: Language Models are Supervised Multitask Learners — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  25. Interpreting User Requests in the Context of Natural Language Standing Instructions — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  26. JFLD: A Japanese Benchmark for Deductive Reasoning Based on Formal Logic — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  27. LLMs Are Prone to Fallacies in Causal Inference — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  28. Mind''s Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models — 2024 · arXiv:2404.03622
  29. OpenPI2.0: An Improved Dataset for Entity Tracking in Texts — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  30. OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  31. P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  32. PIXAR: Auto-Regressive Language Modeling in Pixel Space — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  33. Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  34. SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  35. Teaching Small Language Models Reasoning through Counterfactual Distillation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  36. TopViewRS: Vision-Language Models as Top-View Spatial Reasoners — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  37. Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance? — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  38. tasksource: A Large Collection of NLP tasks with a Structured Dataset Preprocessing Framework — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  39. 基于参数高效微调与半监督学习的空间语义理解 — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
  40. A Benchmark for Reasoning with Spatial Prepositions — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  41. A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  42. A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity — 2023 · arXiv:2302.04023
  43. AI Alignment: A Comprehensive Survey — 2023 · arXiv:2310.19852
  44. ALERT: Adapt Language Models to Reasoning Tasks — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  45. Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond — 2023 · arXiv:2306.09841
  46. COLLIE: Systematic Construction of Constrained Text Generation Tasks — 2023 · arXiv:2307.08689
  47. Causal Reasoning of Entities and Events in Procedural Texts — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  48. Certified Deductive Reasoning with Language Models — 2023 · arXiv:2306.04031
  49. CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  50. Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  51. Do Question Answering Modeling Improvements Hold Across Benchmarks? — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  52. Entity Tracking in Language Models — 2023 · arXiv:2305.02363
  53. Exploring the Capacity of Pretrained Language Models for Reasoning about Actions and Change — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  54. Exploring the State of the Art in Legal QA Systems — 2023 · arXiv:2304.06623 · J Big Data 10, 127 (2023)
  55. How Many Data Samples is an Additional Instruction Worth? — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  56. Identifying the limits of transformers when performing model-checking with natural language — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  57. LMentry: A Language Model Benchmark of Elementary Language Tasks — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  58. Language Models Meet World Models: Embodied Experiences Enhance Language Models — 2023 · arXiv:2305.10626
  59. Large Language Models Can Be Easily Distracted by Irrelevant Context — 2023 · arXiv:2302.00093
  60. Learning to Reason and Memorize with Self-Notes — 2023 · arXiv:2305.00833
  61. Legal Question-Answering in the Indian Context: Efficacy, Challenges, and Potential of Modern AI Models — 2023 · arXiv:2309.14735
  62. MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal Logic — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  63. MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning — 2023 · arXiv:2310.16049 · ICLR 2024 (Spotlight)
  64. NarrativeXL: a Large-scale Dataset for Long-Term Memory Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  65. Natural Language Reasoning, A Survey — 2023 · arXiv:2303.14725
  66. ORCA: A Challenging Benchmark for Arabic Language Understanding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  67. OpenPI-C: A Better Benchmark and Stronger Baseline for Open-Vocabulary State Tracking — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  68. 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)
  69. Scaling Data-Constrained Language Models — 2023 · arXiv:2305.16264
  70. 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
  71. 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
  72. The Role of Semantic Parsing in Understanding Procedural Text — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  73. Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models — 2023 · arXiv:2310.00836
  74. WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models — 2023 · arXiv:2311.15930
  75. 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)
  76. ANLIzing the Adversarial Natural Language Inference Dataset — 2022 · Proceedings of the Society for Computation in Linguistics 2022
  77. 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
  78. Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  79. Coalescing Global and Local Information for Procedural Text Understanding — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  80. 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
  81. Discovering Language Model Behaviors with Model-Written Evaluations — 2022 · arXiv:2212.09251
  82. Dyna-bAbI: unlocking bAbI''s potential with dynamic synthetic benchmarking — 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics
  83. Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task — 2022 · arXiv:2210.13382
  84. EvEntS ReaLM: Event Reasoning of Entity States via Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  85. 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
  86. 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)
  87. Good Night at 4 pm?! Time Expressions in Different Cultures — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  88. Holistic Evaluation of Language Models — 2022 · arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023
  89. 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
  90. LILA: A Unified Benchmark for Mathematical Reasoning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  91. Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought — 2022 · arXiv:2210.01240
  92. 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)
  93. Logical Reasoning for Task Oriented Dialogue Systems — 2022 · Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5)
  94. 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)
  95. 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
  96. Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning — 2022 · arXiv:2205.09712
  97. StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts — our card · 2022 · arXiv:2204.08292
  98. The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning — 2022 · arXiv:2205.03401
  99. Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  100. Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems — 2022 · Findings of the Association for Computational Linguistics: ACL 2022

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