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Who cites «DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs» · page 3

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

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  1. DeepSeek LLM: Scaling Open-Source Language Models with Longtermism — 2024 · arXiv:2401.02954
  2. DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model — 2024 · arXiv:2405.04434
  3. DeepSeek-V3 Technical Report — 2024 · arXiv:2412.19437
  4. DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  5. Divide-or-Conquer? Which Part Should You Distill Your LLM? — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  6. DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  7. Downstream Trade-offs of a Family of Text Watermarks — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  8. Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision — 2024 · arXiv:2403.09472
  9. EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
  10. Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs — 2024 · arXiv:2407.00945
  11. Enhancing Arguments Recognition for Financial Mathematical Reasoning over Hybrid Data — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  12. Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  13. Ethos: Rectifying Language Models in Orthogonal Parameter Space — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  14. Eureka: Evaluating and Understanding Large Foundation Models — 2024 · arXiv:2409.10566
  15. FAC$^2$E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  16. Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  17. From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline — 2024 · arXiv:2406.11939
  18. Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning Gap — 2024 · arXiv:2402.19450
  19. GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  20. Gated Delta Networks: Improving Mamba2 with Delta Rule — 2024 · arXiv:2412.06464
  21. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context — 2024 · arXiv:2403.05530
  22. HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  23. Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent — 2024 · arXiv:2411.02265
  24. HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
  25. Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  26. Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  27. Improving Language Model Reasoning with Self-motivated Learning — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  28. In-Context Principle Learning from Mistakes — 2024 · arXiv:2402.05403
  29. JDocQA: Japanese Document Question Answering Dataset for Generative Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  30. Just read twice: closing the recall gap for recurrent language models — 2024 · arXiv:2407.05483
  31. Knowledge Fusion of Large Language Models — 2024 · arXiv:2401.10491
  32. LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks — 2024 · arXiv:2406.18403
  33. Large Language Models for Scientific Information Extraction: An Empirical Study for Virology — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
  34. Lessons from the Trenches on Reproducible Evaluation of Language Models — 2024 · arXiv:2405.14782
  35. LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  36. LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  37. LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  38. LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks — 2024 · arXiv:2412.15204
  39. MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  40. MLT-DR: Multi-Lingual/Task Demonstration Retrieval An Attempt towards Generalized Retriever for In-Context Learning — 2024 · Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024)
  41. MMLU-SR: A Benchmark for Stress-Testing Reasoning Capability of Large Language Models — 2024 · Proceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLP
  42. Measuring Retrieval Complexity in Question Answering Systems — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  43. Mitigating the Alignment Tax of RLHF — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  44. MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures — 2024 · arXiv:2406.06565
  45. Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once? — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  46. Multi-Task Learning with Adapters for Plausibility Prediction: Bridging the Gap or Falling into the Trenches? — 2024 · Proceedings of the Fifth Workshop on Insights from Negative Results in NLP
  47. Multi-hop Database Reasoning with Virtual Knowledge Graph — 2024 · Proceedings of the 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM 2024)
  48. NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  49. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  50. NumDecoders at SemEval-2024 Task 7: FlanT5 and GPT enhanced with CoT for Numerical Reasoning — 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
  51. Number Cookbook: Number Understanding of Language Models and How to Improve It — 2024 · arXiv:2411.03766
  52. ODIN: Disentangled Reward Mitigates Hacking in RLHF — 2024 · arXiv:2402.07319
  53. PEDANTS: Cheap but Effective and Interpretable Answer Equivalence — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  54. Paraphrasing in Affirmative Terms Improves Negation Understanding — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  55. Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models — 2024 · arXiv:2411.12580
  56. Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  57. Rationale-Aware Answer Verification by Pairwise Self-Evaluation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  58. Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus — 2024 · arXiv:2403.11793
  59. Revisiting Knowledge Distillation for Autoregressive Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  60. S3Prompt: Instructing the Model with Self-calibration, Self-recall and Self-aggregation to Improve In-context Learning — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  61. SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety — 2024 · arXiv:2404.05399
  62. SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  63. Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers? — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  64. SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  65. Synthetic Multimodal Question Generation — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  66. The Llama 3 Herd of Models — 2024 · arXiv:2407.21783
  67. TinyLlama: An Open-Source Small Language Model — 2024 · arXiv:2401.02385
  68. Towards Faithful Model Explanation in NLP: A Survey — 2024 · Computational Linguistics
  69. Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  70. Tulu 3: Pushing Frontiers in Open Language Model Post-Training — 2024 · arXiv:2411.15124
  71. Unified Active Retrieval for Retrieval Augmented Generation — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  72. Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  73. eXmY: A Data Type and Technique for Arbitrary Bit Precision Quantization — 2024 · arXiv:2405.13938
  74. mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  75. A Comprehensive Evaluation of Tool-Assisted Generation Strategies — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  76. A Comprehensive Overview of Large Language Models — 2023 · arXiv:2307.06435
  77. A Question Answering Benchmark Database for Hungarian — 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)
  78. A Survey of Deep Learning for Mathematical Reasoning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  79. A Survey of Large Language Models — 2023 · arXiv:2303.18223 · Frontiers of Computer Science, Volume 20, Issue 12, Article 2012627 (2026)
  80. AlpaGasus: Training A Better Alpaca with Fewer Data — 2023 · arXiv:2307.08701
  81. Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  82. Arithmetic-Based Pretraining Improving Numeracy of Pretrained Language Models — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
  83. Best-k Search Algorithm for Neural Text Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  84. Catwalk: A Unified Language Model Evaluation Framework for Many Datasets — 2023 · arXiv:2312.10253
  85. Causal Reasoning of Entities and Events in Procedural Texts — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  86. Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  87. Complex Reasoning in Natural Language — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 6: Tutorial Abstracts)
  88. Connectivity Patterns are Task Embeddings — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  89. Coverage-based Example Selection for In-Context Learning — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  90. Data-Efficient Finetuning Using Cross-Task Nearest Neighbors — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  91. Defining a New NLP Playground — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  92. DiPlomat: A Dialogue Dataset for Situated Pragmatic Reasoning — 2023 · arXiv:2306.09030
  93. Do Question Answering Modeling Improvements Hold Across Benchmarks? — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  94. Domain Incremental Lifelong Learning in an Open World — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  95. Don''t Blame the Annotator: Bias Already Starts in the Annotation Instructions — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  96. Empowering Cross-lingual Behavioral Testing of NLP Models with Typological Features — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  97. Evaluating Open-Domain Question Answering in the Era of Large Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  98. Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  99. Extracting Victim Counts from Text — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  100. FERMAT: An Alternative to Accuracy for Numerical Reasoning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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