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Who cites «The NarrativeQA Reading Comprehension Challenge» · page 2

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

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  1. OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs — 2025 · Proceedings of the 18th International Natural Language Generation Conference
  2. PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long-Document QA — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  3. ParallelComp: Parallel Long-Context Compressor for Length Extrapolation — 2025 · arXiv:2502.14317
  4. PeerQA: A Scientific Question Answering Dataset from Peer Reviews — 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)
  5. QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management — 2025 · arXiv:2512.12967
  6. QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning — 2025 · arXiv:2505.17667
  7. R$^3$Mem: Bridging Memory Retention and Retrieval via Reversible Compression — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  8. RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  9. ReSSFormer: A Recursive Sparse Structured Transformer for Scalable and Long-Context Reasoning — 2025 · arXiv:2510.01585
  10. 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)
  11. SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval — 2025 · Proceedings of the Workshop on Generative AI and Knowledge Graphs (GenAIK)
  12. SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model — 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)
  13. SYNC: A Synthetic Long-Context Understanding Benchmark for Controlled Comparisons of Model Capabilities — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  14. Self-Taught Agentic Long Context Understanding — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  15. SemEval 2025 Task 10: Multilingual Characterization and Extraction of Narratives from Online News — 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
  16. 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)
  17. SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving — 2025 · arXiv:2509.24626
  18. Stronger Baselines for Retrieval-Augmented Generation with Long-Context Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  19. The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  20. The Threat of PROMPTS in Large Language Models: A System and User Prompt Perspective — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  21. Think Both Ways: Teacher-Student Bidirectional Reasoning Enhances MCQ Generation and Distractor Quality — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  22. Towards Multi-Document Question Answering in Scientific Literature: Pipeline, Dataset, and Evaluation — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  23. UNLEARN Efficient Removal of Knowledge in Large Language Models — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  24. Understanding Bottlenecks for Efficiently Serving LLM Inference With KV Offloading — 2025 · arXiv:2601.19910
  25. UniRAG: Unified Query Understanding Method for Retrieval Augmented Generation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  26. Unlocking Speech Instruction Data Potential with Query Rewriting — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  27. VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation — 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)
  28. What Has Been Lost with Synthetic Evaluation? — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  29. What We Learned from Continually Training Minerva: A Case Study on Italian — 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)
  30. When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  31. You Only Use Reactive Attention Slice When Retrieving From Long Context — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  32. $\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  33. A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  34. A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts — 2024 · arXiv:2402.09727
  35. A Simple and Effective $L_2$ Norm-Based Strategy for KV Cache Compression — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  36. A Survey on Detection of LLMs-Generated Content — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  37. A Tale of Two Revisions: Summarizing Changes Across Document Versions — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  38. An Empirical Study of Mamba-based Language Models — 2024 · arXiv:2406.07887
  39. Batch-Max: Higher LLM Throughput using Larger Batch Sizes and KV Cache Compression — 2024 · arXiv:2412.05693
  40. Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  41. Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding — 2024 · arXiv:2410.01671
  42. CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  43. CORM: Cache Optimization with Recent Message for Large Language Model Inference — 2024 · arXiv:2404.15949
  44. Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehension — 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing
  45. Chain of Agents: Large Language Models Collaborating on Long-Context Tasks — 2024 · arXiv:2406.02818
  46. ChatQA: Surpassing GPT-4 on Conversational QA and RAG — 2024 · arXiv:2401.10225
  47. Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  48. ContraDoc: Understanding Self-Contradictions in Documents with 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)
  49. CritiPrefill: A Segment-wise Criticality-based Approach for Prefilling Acceleration in LLMs — 2024 · arXiv:2409.12490
  50. DLUE: Benchmarking Document Language Understanding — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
  51. Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcom — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
  52. DocFinQA: A Long-Context Financial Reasoning Dataset — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  53. Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  54. Exploring Scientific Hypothesis Generation with Mamba — 2024 · Proceedings of the 1st Workshop on NLP for Science (NLP4Science)
  55. Extending Context Window of Large Language Models via Semantic Compression — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  56. Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  57. FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research — 2024 · arXiv:2405.13576
  58. FragRel: Exploiting Fragment-level Relations in the External Memory of Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  59. GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  60. Gated Delta Networks: Improving Mamba2 with Delta Rule — 2024 · arXiv:2412.06464
  61. GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  62. Grounding Language Model with Chunking-Free In-Context Retrieval — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  63. HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly — 2024 · arXiv:2410.02694
  64. HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversations — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  65. Instruction Pre-Training: Language Models are Supervised Multitask Learners — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  66. Interpreting Themes from Educational Stories — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  67. Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  68. Jamba: A Hybrid Transformer-Mamba Language Model — 2024 · arXiv:2403.19887
  69. Knowledge Conflicts for LLMs: A Survey — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  70. L-Eval: Instituting Standardized Evaluation for Long Context Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  71. LFED: A Literary Fiction Evaluation Dataset for Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  72. LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators — 2024 · arXiv:2411.00136
  73. LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected? — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  74. Label-Efficient Model Selection for Text Generation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  75. Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  76. Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  77. Linearizing Large Language Models — 2024 · arXiv:2405.06640
  78. Long-Context Language Modeling with Parallel Context Encoding — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  79. LongAlign: A Recipe for Long Context Alignment of Large Language Models — 2024 · arXiv:2401.18058
  80. LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks — 2024 · arXiv:2412.15204
  81. LongEmbed: Extending Embedding Models for Long Context Retrieval — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  82. LumberChunker: Long-Form Narrative Document Segmentation — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  83. M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation — 2024 · arXiv:2402.03216
  84. Make Your LLM Fully Utilize the Context — 2024 · arXiv:2404.16811
  85. MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences — 2024 · arXiv:2410.02381
  86. Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries — 2024 · arXiv:2409.12640
  87. MovieSum: An Abstractive Summarization Dataset for Movie Screenplays — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  88. NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  89. Neurocache: Efficient Vector Retrieval for Long-range Language Modeling — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  90. NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens — 2024 · arXiv:2403.12766
  91. On Narrative Question Answering Skills — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
  92. On the Adaptation of Unlimiformer for Decoder-Only Transformers — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  93. PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  94. PEDANTS: Cheap but Effective and Interpretable Answer Equivalence — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  95. Paraphrasing in Affirmative Terms Improves Negation Understanding — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  96. Plot Retrieval as an Assessment of Abstract Semantic Association — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  97. PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling — 2024 · arXiv:2406.02069
  98. Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference — 2024 · arXiv:2406.10774
  99. RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  100. RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval — 2024 · arXiv:2401.18059

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