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Who cites «DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs» · page 2

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

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  1. GRI-QA: a Comprehensive Benchmark for Table Question Answering over Environmental Data — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  2. Gemma 3 Technical Report — 2025 · arXiv:2503.19786
  3. 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)
  4. Glider: Global and Local Instruction-Driven Expert Router — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  5. Great Memory, Shallow Reasoning: Limits of $k$NN-LMs — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
  6. 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)
  7. Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning — 2025 · arXiv:2502.03304
  8. 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)
  9. How to Leverage Digit Embeddings to Represent Numbers? — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  10. Humanity's Last Exam — 2025 · arXiv:2501.14249
  11. Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought — 2025 · arXiv:2505.15431
  12. ImpRAG: Retrieval-Augmented Generation with Implicit Queries — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  13. Implicit Reasoning in Large Language Models: A Comprehensive Survey — 2025 · arXiv:2509.02350
  14. 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)
  15. Improving Context Fidelity via Native Retrieval-Augmented Reasoning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  16. Improving Instruct Models for Free: A Study on Partial Adaptation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  17. Inefficiencies of Meta Agents for Agent Design — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  18. InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion — 2025 · arXiv:2501.02795
  19. Is Large Language Model Performance on Reasoning Tasks Impacted by Different Ways Questions Are Asked? — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  20. JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models — 2025 · arXiv:2501.14851
  21. KRISTEVA: Close Reading as a Novel Task for Benchmarking Interpretive Reasoning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  22. KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning — 2025 · arXiv:2505.18886
  23. Kimi K2: Open Agentic Intelligence — 2025 · arXiv:2507.20534
  24. LOFT: Scalable and More Realistic Long-Context Evaluation — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  25. LoCt-Instruct: An Automatic Pipeline for Constructing Datasets of Logical Continuous Instructions — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  26. LogiGraph: Logical Reasoning with Contrastive Learning and Lightweight Graph Networks — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  27. LogiNumSynth: Synthesizing Joint Logical-Numerical Reasoning Problems for Language Models — 2025 · arXiv:2510.11031
  28. 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)
  29. LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  30. MCQFormatBench: Robustness Tests for Multiple-Choice Questions — 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)
  31. MIRAGE: A Metric-Intensive Benchmark for Retrieval-Augmented Generation Evaluation — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  32. MiMo-VL Technical Report — 2025 · arXiv:2506.03569
  33. MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining — 2025 · arXiv:2505.07608
  34. 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)
  35. MiniMax-01: Scaling Foundation Models with Lightning Attention — 2025 · arXiv:2501.08313
  36. MoDification: Mixture of Depths Made Easy — 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)
  37. MoM: Linear Sequence Modeling with Mixture-of-Memories — 2025 · arXiv:2502.13685
  38. Model Merging for Knowledge Editing — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
  39. 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
  40. MovieCORE: COgnitive REasoning in Movies — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  41. Multi-Conditional Ranking with Large Language Models — 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)
  42. NOSA: Native and Offloadable Sparse Attention — 2025 · arXiv:2510.13602
  43. Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention — 2025 · arXiv:2502.11089
  44. NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models — 2025 · arXiv:2506.07731
  45. Olmo 3 — 2025 · arXiv:2512.13961
  46. PATCH! Psychometrics-AssisTed BenCHmarking of Large Language Models against Human Populations: A Case Study of Proficiency in 8th Grade Mathematics — 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)
  47. PMSS: Pretrained Matrices Skeleton Selection for LLM Fine-tuning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  48. Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity — 2025 · arXiv:2505.21411
  49. Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs — 2025 · arXiv:2504.07866
  50. QuIC: Quantum-Inspired Compound Adapters for Parameter Efficient Fine-Tuning — 2025 · arXiv:2502.06916
  51. QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  52. RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question Answering — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  53. RCScore: Quantifying Response Consistency in Large Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  54. Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  55. Reasoning with Latent Thoughts: On the Power of Looped Transformers — 2025 · arXiv:2502.17416
  56. Removing Prompt-template Bias in Reinforcement Learning from Human Feedback — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  57. SCOP: Evaluating the Comprehension Process of Large Language Models from a Cognitive View — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  58. SMARTMiner: Extracting and Evaluating SMART Goals from Low-Resource Health Coaching Notes — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  59. 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
  60. SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training — 2025 · arXiv 2025
  61. Select-Then-Decompose: From Empirical Analysis to Adaptive Selection Strategy for Task Decomposition in Large Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  62. Self-Foveate: Enhancing Diversity and Difficulty of Synthesized Instructions from Unsupervised Text via Multi-Level Foveation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  63. 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)
  64. Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  65. SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model — 2025 · arXiv:2502.02737
  66. Social Bias in Popular Question-Answering Benchmarks — 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
  67. 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
  68. Stratified Selective Sampling for Instruction Tuning with Dedicated Scoring Strategy — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  69. Structured Definitions and Segmentations for Legal Reasoning in LLMs: A Study on Indian Legal Data — 2025 · arXiv:2511.20669
  70. SuLoRA: Subspace Low-Rank Adaptation for Parameter-Efficient Fine-Tuning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  71. Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  72. Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  73. 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)
  74. Unlocking Speech Instruction Data Potential with Query Rewriting — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  75. VLSP 2025 challenge: Numerical Reasoning Question and Answer — 2025 · Proceedings of the 11th International Workshop on Vietnamese Language and Speech Processing
  76. VMLU Benchmarks: A comprehensive benchmark toolkit for Vietnamese LLMs — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  77. VerIF: Verification Engineering for Reinforcement Learning in Instruction Following — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  78. Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors — 2025 · arXiv:2504.04785
  79. What Has Been Lost with Synthetic Evaluation? — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  80. 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)
  81. XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  82. \textit D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  83. olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models — 2025 · arXiv:2502.18443
  84. seqBench: A Tunable Benchmark to Quantify Sequential Reasoning Limits of LLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  85. AFlow: Automating Agentic Workflow Generation — 2024 · arXiv:2410.10762
  86. AI vs. Human: Effectiveness of LLMs in Simplifying Italian Administrative Documents — 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)
  87. Adding Error Bars to Evals: A Statistical Approach to Language Model Evaluations — 2024 · arXiv:2411.00640
  88. AgentInstruct: Toward Generative Teaching with Agentic Flows — 2024 · arXiv:2407.03502
  89. An Information-Theoretic Approach to Analyze NLP Classification Tasks — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  90. AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  91. Automated Design of Agentic Systems — 2024 · arXiv:2408.08435
  92. Benchmarking Large Language Models on CFLUE - A Chinese Financial Language Understanding Evaluation Dataset — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  93. 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
  94. Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? — 2024 · arXiv:2406.13121
  95. ChatQA: Surpassing GPT-4 on Conversational QA and RAG — 2024 · arXiv:2401.10225
  96. Competition-Level Problems are Effective LLM Evaluators — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  97. Continual Learning of Large Language Models: A Comprehensive Survey — 2024 · arXiv:2404.16789
  98. DBQR-QA: A Question Answering Dataset on a Hybrid of Database Querying and Reasoning — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  99. DRAMA: Dynamic Multi-Granularity Graph Estimate Retrieval over Tabular and Textual Question Answering — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  100. Data Diversity Matters for Robust Instruction Tuning — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024

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