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

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

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1. Apertus: Democratizing Open and Compliant LLMs for Global Language Environments — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
2. BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
3. Beyond Static Synthetic Noise: Assessing the Robustness of Large Language Models to Natural Context Variation in the Real World — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
4. CASPER: Bridging Discrete and Continuous Prompt Optimization through Feedback-Guided Gradient Descent — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 5: Industry Track)
5. Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
6. CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
7. DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression — 2026 · arXiv:2609.19969
8. DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence — 2026 · arXiv:2606.19348
9. Demystifying Mixed Outcomes of Self-Training: Pre-training Analyses on Non-Toy LLMs — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
10. DiFRa: A Unified Framework for Harmonizing Semantic Diversity and Factual Consistency in Question-Answer Generation — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
11. Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
12. DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
13. FormulaReasoning: A Dataset for Formula-Based Numerical Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
14. FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow Generation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
15. Hunyuan-A13B Technical Report — 2026 · arXiv:2609.27284
16. Jamendo-MT-QA: A Benchmark for Multi-Track Comparative Music Question Answering — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
17. Knowledge-Infused Multi-Bit Watermarking for RAG Knowledge Bases — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
18. Large-Scale Diverse Synthesis for Mid-Training — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
19. LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
20. MEUR: A Benchmark for Evaluating Vision-Language Models on Multimodal Event Understanding and Reasoning — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
21. MiMo-V2-Flash Technical Report — 2026 · arXiv:2601.02780
22. MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents — 2026 · Transactions of the Association for Computational Linguistics
23. Nature-Inspired Population-Based Evolution of Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
24. PBEBench: A Multi-Step Programming by Examples Reasoning Benchmark inspired by Historical Linguistics — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
25. Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
26. Preference Optimization for Review Question Generation Improves Writing Quality — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
27. SciPedia: Unlocking the Value of Scientific Data for Pre-training — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
28. Think in Sentences: Explicit Sentence Boundaries Enhance Language Model''s Capabilities — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
29. Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
30. 2 OLMo 2 Furious — 2025 · arXiv:2501.00656
31. A Survey of Post-Training Scaling in Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
32. A Systematic Survey of Automatic Prompt Optimization Techniques — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
33. AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation — 2025 · arXiv:2505.14015
34. Accurate INT8 Training Through Dynamic Block-Level Fallback — 2025 · arXiv:2503.08040
35. Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
36. Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment — 2025 · Transactions of the Association for Computational Linguistics
37. CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning — 2025 · arXiv:2503.13517
38. Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation — 2025 · arXiv:2502.15734
39. Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
40. CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction — 2025 · arXiv:2502.07316
41. CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
42. Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
43. Cool-Fusion: Fuse Large Language Models without Training — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
44. DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
45. Do Large Language Model Benchmarks Test Reliability? — 2025 · arXiv:2502.03461
46. From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review — 2025 · arXiv:2504.19678
47. Gemma 3 Technical Report — 2025 · arXiv:2503.19786
48. Generating Complex Question Decompositions in the Face of Distribution Shifts — 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)
49. Gödel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
50. Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning — 2025 · arXiv:2502.03304
51. HoPE: A Novel Positional Encoding Without Long-Term Decay for Enhanced Context Awareness and Extrapolation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
52. How to Leverage Digit Embeddings to Represent Numbers? — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
53. Humanity's Last Exam — 2025 · arXiv:2501.14249
54. Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought — 2025 · arXiv:2505.15431
55. Implicit Reasoning in Large Language Models: A Comprehensive Survey — 2025 · arXiv:2509.02350
56. Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
57. JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models — 2025 · arXiv:2501.14851
58. Kimi K2: Open Agentic Intelligence — 2025 · arXiv:2507.20534
59. LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
60. MIRAGE: A Metric-Intensive Benchmark for Retrieval-Augmented Generation Evaluation — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
61. MiMo-VL Technical Report — 2025 · arXiv:2506.03569
62. MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining — 2025 · arXiv:2505.07608
63. MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
64. MiniMax-01: Scaling Foundation Models with Lightning Attention — 2025 · arXiv:2501.08313
65. MoM: Linear Sequence Modeling with Mixture-of-Memories — 2025 · arXiv:2502.13685
66. More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track
67. NOSA: Native and Offloadable Sparse Attention — 2025 · arXiv:2510.13602
68. Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention — 2025 · arXiv:2502.11089
69. Olmo 3 — 2025 · arXiv:2512.13961
70. Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity — 2025 · arXiv:2505.21411
71. Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs — 2025 · arXiv:2504.07866
72. QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
73. Reasoning with Latent Thoughts: On the Power of Looped Transformers — 2025 · arXiv:2502.17416
74. STEER-BENCH: A Benchmark for Evaluating the Steerability of Large Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
75. SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training — 2025 · arXiv 2025
76. SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains — 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)
77. Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
78. SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model — 2025 · arXiv:2502.02737
79. Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
80. Structured Definitions and Segmentations for Legal Reasoning in LLMs: A Study on Indian Legal Data — 2025 · arXiv:2511.20669
81. Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
82. Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
83. Towards the Law of Capacity Gap in Distilling Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
84. Unlocking Speech Instruction Data Potential with Query Rewriting — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
85. VerIF: Verification Engineering for Reinforcement Learning in Instruction Following — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
86. Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors — 2025 · arXiv:2504.04785
87. Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
88. olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models — 2025 · arXiv:2502.18443
89. AFlow: Automating Agentic Workflow Generation — 2024 · arXiv:2410.10762
90. Adding Error Bars to Evals: A Statistical Approach to Language Model Evaluations — 2024 · arXiv:2411.00640
91. AgentInstruct: Toward Generative Teaching with Agentic Flows — 2024 · arXiv:2407.03502
92. AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
93. Automated Design of Agentic Systems — 2024 · arXiv:2408.08435
94. Benchmarking Large Language Models on CFLUE - A Chinese Financial Language Understanding Evaluation Dataset — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
95. CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
96. Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? — 2024 · arXiv:2406.13121
97. Competition-Level Problems are Effective LLM Evaluators — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
98. Continual Learning of Large Language Models: A Comprehensive Survey — 2024 · arXiv:2404.16789
99. DBQR-QA: A Question Answering Dataset on a Hybrid of Database Querying and Reasoning — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
100. Data Diversity Matters for Robust Instruction Tuning — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024

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