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Who cites «DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs» · page 4

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

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  1. Few-shot Adaptation Works with UnpredicTable Data — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  2. Few-shot Unified Question Answering: Tuning Models or Prompts? — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  3. Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  4. Fine-Tuning Language Models with Just Forward Passes — 2023 · arXiv:2305.17333
  5. FinePrompt: Unveiling the Role of Finetuned Inductive Bias on Compositional Reasoning in GPT-4 — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  6. GPQA: A Graduate-Level Google-Proof Q&A Benchmark — 2023 · arXiv:2311.12022
  7. Gemini: A Family of Highly Capable Multimodal Models — 2023 · arXiv:2312.11805
  8. How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  9. Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  10. Improving Numeracy by Input Reframing and Quantitative Pre-Finetuning Task — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  11. In-context Pretraining: Language Modeling Beyond Document Boundaries — 2023 · arXiv:2310.10638
  12. InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining — 2023 · arXiv:2310.07713
  13. Intégration du raisonnement numérique dans les modèles de langue : État de l''art et direction de recherche — 2023 · Actes de CORIA-TALN 2023. Actes de la 18e Conférence en Recherche d'Information et Applications (CORIA)
  14. Large Language Models Can Be Easily Distracted by Irrelevant Context — 2023 · arXiv:2302.00093
  15. Large Language Models Can Self-Improve — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  16. Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners — 2023 · arXiv:2305.14825
  17. Large Language Models as Analogical Reasoners — 2023 · arXiv:2310.01714
  18. Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  19. Learning to Generalize for Cross-domain QA — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  20. Long-Tailed Question Answering in an Open World — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  21. MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  22. MAFiD: Moving Average Equipped Fusion-in-Decoder for Question Answering over Tabular and Textual Data — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  23. Making Language Models Better Reasoners with Step-Aware Verifier — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  24. MarkQA: A large scale KBQA dataset with numerical reasoning — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  25. MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  26. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models — 2023 · arXiv:2309.12284
  27. MoT: Memory-of-Thought Enables ChatGPT to Self-Improve — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  28. Multi-Row, Multi-Span Distant Supervision For Table+Text Question Answering — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  29. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future — 2023 · arXiv:2309.15402
  30. Numeric Magnitude Comparison Effects in Large Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  31. Orca 2: Teaching Small Language Models How to Reason — 2023 · arXiv:2311.11045
  32. PaLM 2 Technical Report — 2023 · arXiv:2305.10403
  33. Post Turing: Mapping the landscape of LLM Evaluation — 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  34. Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  35. Predicting Numerals in Text Using Nearest Neighbor Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  36. Prompting with Pseudo-Code Instructions — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  37. RA-DIT: Retrieval-Augmented Dual Instruction Tuning — 2023 · arXiv:2310.01352
  38. RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  39. ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  40. ReTAG: Reasoning Aware Table to Analytic Text Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  41. Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  42. Reasoning over Public and Private Data in Retrieval-Based Systems — 2023 · Transactions of the Association for Computational Linguistics
  43. Robust Prompt Optimization for Large Language Models Against Distribution Shifts — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  44. SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  45. SharPT: Shared Latent Space Prompt Tuning — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  46. SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images — 2023 · arXiv:2301.04883
  47. Sparse Neural Retrieval Model for Efficient Cross-Domain Retrieval-Based Question Answering — 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
  48. Tab-CQA: A Tabular Conversational Question Answering Dataset on Financial Reports — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)
  49. Teasing LLMs Adapted to Italian — 2023 · Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023)
  50. Towards preserving word order importance through Forced Invalidation — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  51. TraVLR: Now You See It, Now You Don''t! A Bimodal Dataset for Evaluating Visio-Linguistic Reasoning — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  52. UKP-SQuARE v3: A Platform for Multi-Agent QA Research — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
  53. Unifying Structure Reasoning and Language Model Pre-training for Complex Reasoning — 2023 · arXiv:2301.08913
  54. Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  55. VILA: On Pre-training for Visual Language Models — 2023 · arXiv:2312.07533
  56. Weakly-Supervised Questions for Zero-Shot Relation Extraction — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  57. When Do Decompositions Help for Machine Reading? — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  58. ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-order Optimization — 2023 · arXiv:2312.15184
  59. ``John is 50 years old, can his son be 65?'''' Evaluating NLP Models'' Understanding of Feasibility — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  60. 20Q: Overlap-Free World Knowledge Benchmark for Language Models — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  61. A Few More Examples May Be Worth Billions of Parameters — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  62. ANLIzing the Adversarial Natural Language Inference Dataset — 2022 · Proceedings of the Society for Computation in Linguistics 2022
  63. AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  64. Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  65. An MRC Framework for Semantic Role Labeling — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  66. Analytical Reasoning of Text — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  67. Analyzing Dynamic Adversarial Training Data in the Limit — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  68. Analyzing Multi-Task Learning for Abstractive Text Summarization — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  69. Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  70. ArgGen: Prompting Text Generation Models for Document-Level Event-Argument Aggregation — 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022
  71. Ask Me Anything: A simple strategy for prompting language models — 2022 · arXiv:2210.02441
  72. BanglaRQA: A Benchmark Dataset for Under-resourced Bangla Language Reading Comprehension-based Question Answering with Diverse Question-Answer Types — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  73. 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
  74. ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models — 2022
  75. CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  76. Case-Based Abductive Natural Language Inference — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  77. Chaining Simultaneous Thoughts for Numerical Reasoning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  78. Challenges in Generalization in Open Domain Question Answering — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  79. CommonsenseQA 2.0: Exposing the Limits of AI through Gamification — 2022 · arXiv:2201.05320
  80. Complex Reading Comprehension Through Question Decomposition — 2022 · Proceedings of the 20th Annual Workshop of the Australasian Language Technology Association
  81. ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  82. Cross-Task Generalization via Natural Language Crowdsourcing Instructions — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  83. 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
  84. Domain Adaptation for Question Answering via Question Classification — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  85. Efficient Training of Language Models to Fill in the Middle — 2022 · arXiv:2207.14255
  86. Efficiently Tuned Parameters Are Task Embeddings — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  87. Enhancing Financial Table and Text Question Answering with Tabular Graph and Numerical Reasoning — 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)
  88. Exploiting Numerical-Contextual Knowledge to Improve Numerical Reasoning in Question Answering — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  89. Exploring The Landscape of Distributional Robustness for Question Answering Models — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  90. FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  91. FQuAD2.0: French Question Answering and Learning When You Don''t Know — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  92. FinMath: Injecting a Tree-structured Solver for Question Answering over Financial Reports — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  93. 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
  94. Hey AI, Can You Solve Complex Tasks by Talking to Agents? — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  95. How Well Do Multi-hop Reading Comprehension Models Understand Date Information? — 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 2: Short Papers)
  96. Hyperdecoders: Instance-specific decoders for multi-task NLP — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  97. Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET — 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)
  98. Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  99. Improving In-Context Few-Shot Learning via Self-Supervised Training — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  100. 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

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