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Who cites «The NarrativeQA Reading Comprehension Challenge»

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

Pages: 1 · 2 · 3 · 4 · 5

  1. A Survey on Evaluation of LLM-based Agents — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  2. ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum Learning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  3. CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  4. EduBench: A Portuguese Benchmark for Open-Ended Discursive Question Answering — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  5. GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  6. HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  7. HiChunk: Evaluating and Enhancing Retrieval Augmented Generation with Hierarchical Chunking — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  8. LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  9. Mask Tokens as Prophet: Fine-Grained Cache Eviction for Efficient dLLM Inference — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  10. MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  11. More Than Efficiency: Embedding Compression Improves Domain Adaptation in Dense Retrieval — 2026 · Proceedings of the First Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era (SURGeLLM 2026)
  12. ReFreeKV: Towards Threshold-Free KV Cache Compression — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  13. Read As Human: Compressing Context via Parallelizable Close Reading and Skimming — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  14. Situated Embedding Models for Context-Aware Dense Retrieval — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  15. TopoRAG: Graph-based RAG via Topology-aware Approximate Nearest Neighbor Search — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  16. A Comprehensive Survey on Long Context Language Modeling — 2025 · arXiv:2503.17407
  17. Brevity is the soul of sustainability: Characterizing LLM response lengths — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  18. CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning — 2025 · arXiv:2503.13517
  19. Characterizing LLM Inference Energy-Performance Tradeoffs across Workloads and GPU Scaling — 2025 · arXiv:2501.08219
  20. ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference — 2025 · arXiv:2502.00299
  21. ClusterAttn: KV Cache Compression under Intrinsic Attention Clustering — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  22. Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  23. Culturally-Nuanced Story Generation for Reasoning in Low-Resource Languages: The Case of Javanese and Sundanese — 2025 · arXiv:2502.12932
  24. DTCRS: Dynamic Tree Construction for Recursive Summarization — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  25. Demystify Verbosity Compensation Behavior of Large Language Models — 2025 · Proceedings of the 2nd Workshop on Uncertainty-Aware NLP (UncertaiNLP 2025)
  26. Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  27. DocBench: A Benchmark for Evaluating LLM-based Document Reading Systems — 2025 · Proceedings of the 4th International Workshop on Knowledge-Augmented Methods for Natural Language Processing
  28. DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  29. E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  30. ELITR-Bench: A Meeting Assistant Benchmark for Long-Context Language Models — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  31. ETHIC: Evaluating Large Language Models on Long-Context Tasks with High Information Coverage — 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)
  32. EvolKV: Evolutionary KV Cache Compression for LLM Inference — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  33. Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  34. Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  35. How to Train Long-Context Language Models (Effectively) — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  36. Implicit Reasoning in Large Language Models: A Comprehensive Survey — 2025 · arXiv:2509.02350
  37. Instella: Fully Open Language Models with Stellar Performance — 2025 · arXiv:2511.10628
  38. Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  39. LADM: Long-context Training Data Selection with Attention-based Dependency Measurement for LLMs — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  40. LLMs can be easily Confused by Instructional Distractions — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  41. Large Language Models are good multi-lingual learners : When LLMs meet cross-lingual prompts — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  42. M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  43. MDCure: A Scalable Pipeline for Multi-Document Instruction-Following — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  44. More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  45. NarratEX Dataset: Explaining the Dominant Narratives in News Texts — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  46. OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs — 2025 · Proceedings of the 18th International Natural Language Generation Conference
  47. ParallelComp: Parallel Long-Context Compressor for Length Extrapolation — 2025 · arXiv:2502.14317
  48. 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)
  49. QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management — 2025 · arXiv:2512.12967
  50. QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning — 2025 · arXiv:2505.17667
  51. R$^3$Mem: Bridging Memory Retention and Retrieval via Reversible Compression — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  52. RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  53. 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)
  54. 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)
  55. SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving — 2025 · arXiv:2509.24626
  56. 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)
  57. Unlocking Speech Instruction Data Potential with Query Rewriting — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  58. 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)
  59. $\infty$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)
  60. A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  61. A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts — 2024 · arXiv:2402.09727
  62. 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
  63. A Survey on Detection of LLMs-Generated Content — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  64. An Empirical Study of Mamba-based Language Models — 2024 · arXiv:2406.07887
  65. Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  66. CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  67. CORM: Cache Optimization with Recent Message for Large Language Model Inference — 2024 · arXiv:2404.15949
  68. Chain of Agents: Large Language Models Collaborating on Long-Context Tasks — 2024 · arXiv:2406.02818
  69. 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)
  70. 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)
  71. 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)
  72. DocFinQA: A Long-Context Financial Reasoning Dataset — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  73. 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
  74. Exploring Scientific Hypothesis Generation with Mamba — 2024 · Proceedings of the 1st Workshop on NLP for Science (NLP4Science)
  75. Extending Context Window of Large Language Models via Semantic Compression — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  76. 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)
  77. FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research — 2024 · arXiv:2405.13576
  78. FragRel: Exploiting Fragment-level Relations in the External Memory of Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  79. Gated Delta Networks: Improving Mamba2 with Delta Rule — 2024 · arXiv:2412.06464
  80. GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  81. 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)
  82. HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly — 2024 · arXiv:2410.02694
  83. 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)
  84. Instruction Pre-Training: Language Models are Supervised Multitask Learners — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  85. 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
  86. Jamba: A Hybrid Transformer-Mamba Language Model — 2024 · arXiv:2403.19887
  87. Knowledge Conflicts for LLMs: A Survey — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  88. 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)
  89. 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)
  90. LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators — 2024 · arXiv:2411.00136
  91. LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected? — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  92. Label-Efficient Model Selection for Text Generation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  93. 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)
  94. 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
  95. Linearizing Large Language Models — 2024 · arXiv:2405.06640
  96. 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)
  97. LongAlign: A Recipe for Long Context Alignment of Large Language Models — 2024 · arXiv:2401.18058
  98. LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks — 2024 · arXiv:2412.15204
  99. LongEmbed: Extending Embedding Models for Long Context Retrieval — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  100. LumberChunker: Long-Form Narrative Document Segmentation — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024

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