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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. AgentSlimming: Towards Efficient and Cost-Aware Multi-Agent Systems — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  2. Almieyar-Oryx-BloomBench: A Bilingual Multimodal Benchmark for Cognitively Informed Evaluation of Vision-Language Models — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  3. 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)
  4. BEFT: Bias-Efficient Fine-Tuning of Language Models in Low-Data Regimes — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  5. BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  6. BenchMarker: An Education-Inspired Toolkit for Highlighting Flaws in Multiple-Choice Benchmarks — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  7. Beyond Block Boundaries: Multi-Block Editing for Diffusion Large Language Models — 2026 · arXiv:2607.22663
  8. Beyond Facts- Benchmarking Distributional Reading Comprehension in Large Language Models — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  9. 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
  10. CARVE: Content-Aware Recurrent with Value Efficiency for Chunk-Parallel Linear Attention — 2026 · arXiv:2606.27229
  11. 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)
  12. ChessArena: A Chess Testbed for Evaluating Strategic Reasoning Capabilities of Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  13. 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)
  14. 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)
  15. DRBENCHER: Can Your Agent Identify the Entity, Retrieve Its Properties and Do the Math? — 2026 · arXiv:2604.09251
  16. DashAttention: Differentiable and Adaptive Sparse Hierarchical Attention — 2026 · arXiv:2605.18753
  17. DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression — 2026 · arXiv:2609.19969
  18. DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence — 2026 · arXiv:2606.19348
  19. Demystifying Mixed Outcomes of Self-Training: Pre-training Analyses on Non-Toy LLMs — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  20. 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
  21. Diffusion Language Model Inference with Monte Carlo Tree Search — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  22. 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
  23. DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  24. FLOP-Efficient Training: Early Stopping Based on Test-Time Compute Awareness — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  25. FormulaReasoning: A Dataset for Formula-Based Numerical Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  26. 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)
  27. GRZO: Group-Relative Zeroth-Order Optimization for Large Language Model Fine-Tuning — 2026 · arXiv:2606.02857
  28. Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning — 2026 · Transactions of the Association for Computational Linguistics
  29. Hunyuan-A13B Technical Report — 2026 · arXiv:2609.27284
  30. Instruction Tuning with and without Context: Behavioral Shifts and Downstream Impact — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  31. Jamendo-MT-QA: A Benchmark for Multi-Track Comparative Music Question Answering — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  32. Knowledge Distillation During Mid-Training Favors Reasoning over Factual Recall — 2026 · arXiv:2609.01532
  33. Knowledge-Infused Multi-Bit Watermarking for RAG Knowledge Bases — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  34. Large-Scale Diverse Synthesis for Mid-Training — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  35. Learn Like Humans: Use Meta-cognitive Reflection for Efficient Self-Improvement — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  36. 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)
  37. MEUR: A Benchmark for Evaluating Vision-Language Models on Multimodal Event Understanding and Reasoning — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  38. MiMo-V2-Flash Technical Report — 2026 · arXiv:2601.02780
  39. MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents — 2026 · Transactions of the Association for Computational Linguistics
  40. Native Hybrid Attention for Efficient Sequence Modeling — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  41. 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)
  42. Operadic consistency: a label-free signal for compositional reasoning failures in LLMs — 2026 · arXiv:2606.13649
  43. PBEBench: A Multi-Step Programming by Examples Reasoning Benchmark inspired by Historical Linguistics — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  44. POLARIS: A Gödel Agent Framework for Small Language Models through Experience-Abstracted Policy Repair — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  45. Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  46. Preference Optimization for Review Question Generation Improves Writing Quality — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  47. Reasoning''s Razor: Reasoning Improves Accuracy but Hurts Recall at Critical Operating Points in Safety and Hallucination Detection — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  48. Reassessing Extractive QA Datasets at Scale: LLM-as-a-Judge and In-Depth Analyses — 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)
  49. Relevance Is Not Sufficient Evidence: Detecting Evidence Gaps Before Generation in RAG — 2026 · arXiv:2609.37469
  50. Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  51. 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)
  52. SemPA: Improving Sentence Embeddings of Large Language Models through Semantic Preference Alignment — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  53. The Imitation Game: When LLMs Learn to Reason Like Programs via Code-Centric Reasoning Data Synthesis — 2026 · arXiv:2609.16076
  54. 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)
  55. TimeRes: A Turkish Benchmark For Evaluating Temporal Understanding of Large Language Models — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  56. Tokenizer-Aware Cross-Lingual Adaptation of Decoder-Only LLMs through Embedding Relearning and Swapping — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  57. Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  58. V-FiLLM: Verified Financial LLM Reasoning Benchmark — 2026 · arXiv:2608.11047
  59. ZOCheck: CPU-Shadow Checkpointing for Zeroth-Order LLM Fine-Tuning — 2026 · arXiv:2609.27189
  60. 2 OLMo 2 Furious — 2025 · arXiv:2501.00656
  61. A Graph-Based Agent Approach to Numerical Reasoning Question Answering — 2025 · Proceedings of the 11th International Workshop on Vietnamese Language and Speech Processing
  62. 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)
  63. A Systematic Analysis of Base Model Choice for Reward Modeling — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  64. A Systematic Survey of Automatic Prompt Optimization Techniques — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  65. AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation — 2025 · arXiv:2505.14015
  66. Accurate INT8 Training Through Dynamic Block-Level Fallback — 2025 · arXiv:2503.08040
  67. Aligning Black-box Language Models with Human Judgments — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  68. 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
  69. Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment — 2025 · Transactions of the Association for Computational Linguistics
  70. BenNumEval: A Benchmark to Assess LLMs'' Numerical Reasoning Capabilities in Bengali — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  71. BengaliFig: A Low-Resource Challenge for Figurative and Culturally Grounded Reasoning in Bengali — 2025 · arXiv:2511.20399
  72. CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs — 2025 · arXiv:2507.07145
  73. CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  74. CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning — 2025 · arXiv:2503.13517
  75. CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  76. Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation — 2025 · arXiv:2502.15734
  77. Can Large Language Models Be Good Language Teachers? — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  78. 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
  79. CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction — 2025 · arXiv:2502.07316
  80. 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
  81. 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)
  82. Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  83. 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)
  84. Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM''s Nest — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  85. DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  86. Decentralized Low-Rank Fine-Tuning of Large Language Models — 2025 · Proceedings of the 1st Workshop for Research on Agent Language Models (REALM 2025)
  87. Detecting Omissions in LLM-Generated Medical Summaries — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track
  88. Development of Numerical Error Detection Tasks to Analyze the Numerical Capabilities of Language Models — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  89. DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  90. Do Large Language Model Benchmarks Test Reliability? — 2025 · arXiv:2502.03461
  91. Détection des omissions dans les résumés médicaux générés par les grands modèles de langue — 2025 · Actes des 32ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 1 : articles scientifiques originaux
  92. ESGenius: Benchmarking LLMs on Environmental, Social, and Governance (ESG) and Sustainability Knowledge — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  93. Efficiently Selecting Response Generation Strategies for Synthetic Data Construction by Self-Aligned Perplexity — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  94. End-to-End On-Device Quantization-Aware Training for LLMs at Inference Cost — 2025 · arXiv:2509.00031
  95. Enhancing Language Model Hypernetworks with Restart: A Study on Optimization — 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)
  96. Enhancing Numerical Reasoning in Vietnamese Financial Question Answering through Program-Centric Policy Optimization — 2025 · Proceedings of the 11th International Workshop on Vietnamese Language and Speech Processing
  97. FarSense: A Comprehensive Commonsense Benchmark and Evaluation Framework for the Farsi Language — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
  98. Fin-DBQA Shared-task: Database Querying and Reasoning — 2025 · Proceedings of the Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal)
  99. From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review — 2025 · arXiv:2504.19678
  100. From Remembering to Metacognition: Do Existing Benchmarks Accurately Evaluate LLMs? — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025

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