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# Who cites «DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs» · page 6

600 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/dua-2019-drop-reading-comprehension-benchmark-requiring/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring-5/) · **6**

1. hou-2026-learn-like-humans-use-meta
2. huang-2026-beft-bias-efficient-fine-tuning
3. huang-2026-dashattention-differentiable-adaptive-sparse-hierarchical
4. huang-2026-diffusion-language-model-inference-monte
5. irsoy-2025-improving-instruct-models-free-study
6. jang-2025-rcscore-quantifying-response-consistency-large
7. jhamtani-2021-truth-conditional-captions-time-series
8. jiang-2020-fine-tune-bert-e-commerce
9. jiang-2026-tokenizer-aware-cross-lingual-adaptation
10. kakade-2026-polaris-godel-agent-framework-small
11. kar-2022-arggen-prompting-text-generation-models
12. kim-2023-fineprompt-unveiling-role-finetuned-inductive
13. kraft-2025-social-bias-popular-question-answering
14. larsen-2026-v-fillm-verified-financial-llm
15. lee-2025-loft-scalable-more-realistic-long
16. lee-2026-drbencher-agent-identify-entity-retrieve
17. lee-2026-instruction-tuning-without-context-behavioral
18. li-2022-finmath-injecting-tree-structured-solver
19. li-2022-qlevr-diagnostic-dataset-quantificational-language
20. li-2023-hypothetical-training-robust-machine-reading
21. li-2024-lorasc-expressive-generalizable-low-rank
22. li-2025-glider-global-local-instruction-driven
23. li-2025-logigraph-logical-reasoning-contrastive-learning
24. li-2025-self-foveate-enhancing-diversity-difficulty
25. lim-2024-enhancing-arguments-recognition-financial-mathematical
26. liu-2024-chatqa-surpassing-gpt-4-conversational
27. liu-2024-efficient-expert-pruning-sparse-mixture
28. liu-2024-hift-hierarchical-full-parameter-fine
29. liu-2025-loginumsynth-synthesizing-joint-logical-numerical
30. liu-2025-select-then-decompose-empirical-analysis
31. liu-2026-chessarena-chess-testbed-evaluating-strategic
32. longpre-2021-transferability-minimal-prediction-preserving-inputs
33. mi-2025-kerzoo-kernel-function-informed-zeroth
34. mirza-2025-stratified-selective-sampling-instruction-tuning
35. mo-2022-knowledge-transfer-between-structured-unstructured
36. mo-2025-cdt-comprehensive-capability-framework-large
37. mou-2026-block-boundaries-multi-block-editing
38. nararatwong-2025-fin-dbqa-shared-task-database
39. negheimish-2021-discrete-reasoning-templates-natural-language
40. negheimish-2023-preserving-word-order-importance-through
41. nishida-2023-sparse-neural-retrieval-model-efficient
42. novak-2023-question-answering-benchmark-database-hungarian
43. oukelmoun-2025-detecting-omissions-llm-generated-medical
44. oukelmoun-2025-detection-des-omissions-dans-les
45. panagopoulou-2025-contra4-evaluating-contrastive-cross-modal
46. pang-2023-sharpt-shared-latent-space-prompt
47. peng-2025-cuckoo-ie-free-rider-hatched
48. pezeshkpour-2025-multi-conditional-ranking-large-language
49. puerto-2023-ukp-square-v3-platform-multi
50. raj-2025-quic-quantum-inspired-compound-adapters
51. ramezanali-2025-seqbench-tunable-benchmark-quantify-sequential
52. ranaldi-2023-teasing-llms-adapted-italian
53. ren-2020-interpretable-reasoning-over-paragraph-effects
54. ren-2021-prediction-or-comparison-interpretable-qualitative
55. ren-2025-efficiently-selecting-response-generation-strategies
56. russodivito-2024-ai-vs-human-effectiveness-llms
57. sakamoto-2021-predicting-numerals-natural-language-text
58. sakamoto-2023-predicting-numerals-text-nearest-neighbor
59. sakamoto-2025-development-numerical-error-detection-tasks
60. sefat-2025-bengalifig-low-resource-challenge-figurative
61. sharma-2023-learning-non-linguistic-skills-without
62. shen-2025-cycle-instruct-fully-seed-free
63. shi-2020-sequence-sequence-approach-numerical-slot
64. sogaard-2021-locke-s-holiday-belief-bias
65. son-2024-multi-hop-database-reasoning-virtual
66. song-2025-is-large-language-model-performance
67. stay-2021-what-can-generative-language-model
68. sui-2025-kristeva-close-reading-as-novel
69. sultan-2022-not-overfit-or-underfit-source
70. sun-2025-loct-instruct-automatic-pipeline-constructing
71. sun-2026-zocheck-cpu-shadow-checkpointing-zeroth
72. takahashi-2019-cler-cross-task-learning-expert
73. takeshita-2025-randomly-removing-50-dimensions-text
74. takizawa-2025-mcqformatbench-robustness-tests-multiple-choice
75. tan-2025-end-end-device-quantization-aware
76. tan-2026-grzo-group-relative-zeroth-order
77. tikhonov-2023-post-turing-mapping-landscape-llm
78. toan-2025-vlsp-2025-challenge-numerical-reasoning
79. uluoglakci-2024-hypotermqa-hypothetical-terms-dataset-benchmarking
80. valladares-2025-xautolm-efficient-fine-tuning-language
81. wang-2023-unsupervised-candidate-answer-extraction-through
82. wang-2024-enhancing-numerical-reasoning-guidance-reliable
83. wang-2024-information-theoretic-approach-analyze-nlp
84. wang-2024-mmlu-sr-benchmark-stress-testing
85. wang-2025-improving-context-fidelity-native-retrieval
86. wang-2025-pmss-pretrained-matrices-skeleton-selection
87. wang-2025-removing-prompt-template-bias-reinforcement
88. xiao-2025-scop-evaluating-comprehension-process-large
89. xu-2025-can-large-language-models-be
90. yagoubi-2025-neurips-2025-e2lm-competition-early
91. yan-2025-infifusion-unified-framework-enhanced-cross
92. ye-2022-robustness-question-rewriting-systems-questions
93. yuan-2024-drama-dynamic-multi-granularity-graph
94. zeinalipour-2025-farsense-comprehensive-commonsense-benchmark-evaluation
95. zhang-2025-enhancing-language-model-hypernetworks-restart
96. zhang-2025-imprag-retrieval-augmented-generation-implicit
97. zhang-2025-modification-mixture-depths-made-easy
98. zhang-2025-remembering-metacognition-do-existing-benchmarks
99. zhang-2026-imitation-game-llms-learn-reason
100. zhou-2025-ccq-convolutional-code-extreme-low

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring-5/) · **6**

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