Elamur Research
☰
home / papers / The NarrativeQA Reading Comprehension Challenge / cited by

Who cites «The NarrativeQA Reading Comprehension Challenge» · page 3

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. Rationale-based Learning Using Self-Supervised Narrative Events for Text Summarisation of Interactive Digital Narratives — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  2. Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track
  3. SEGMENT+: Long Text Processing with Short-Context Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  4. Searching for Best Practices in Retrieval-Augmented Generation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  5. Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue — 2024 · Proceedings of the 17th International Natural Language Generation Conference
  6. Stable LM 2 1.6B Technical Report — 2024 · arXiv:2402.17834
  7. SyllabusQA: A Course Logistics Question Answering Dataset — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  8. TIGQA: An Expert-Annotated Question-Answering Dataset in Tigrinya — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  9. TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding — 2024 · arXiv:2404.11912
  10. UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  11. tinyBenchmarks: evaluating LLMs with fewer examples — 2024 · arXiv:2402.14992
  12. 大语言模型故事理解能力评价数据集(Benchmarking story comprehension ability of large language model) — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
  13. A Length-Extrapolatable Transformer — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  14. A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  15. A Question Answering Benchmark Database for Hungarian — 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)
  16. Adapting Pretrained Text-to-Text Models for Long Text Sequences — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  17. Agent Instructs Large Language Models to be General Zero-Shot Reasoners — 2023 · arXiv:2310.03710
  18. Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  19. Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  20. AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph Walking — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  21. Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  22. Causal Reasoning of Entities and Events in Procedural Texts — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  23. Closed-book Question Generation via Contrastive Learning — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  24. CoLT5: Faster Long-Range Transformers with Conditional Computation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  25. Comparing Neural Question Generation Architectures for Reading Comprehension — 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
  26. DeepMaven: Deep Question Answering on Long-Distance Movie/TV Show Videos with Multimedia Knowledge Extraction and Synthesis — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  27. Detecting ChatGPT: A Survey of the State of Detecting ChatGPT-Generated Text — 2023 · Proceedings of the 8th Student Research Workshop associated with the International Conference Recent Advances in Natural Language Processing
  28. DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI — 2023 · arXiv:2307.10172
  29. Domain Incremental Lifelong Learning in an Open World — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  30. Echoes from Alexandria: A Large Resource for Multilingual Book Summarization — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  31. Effective Long-Context Scaling of Foundation Models — 2023 · arXiv:2309.16039
  32. Efficient Long-Text Understanding with Short-Text Models — 2023 · Transactions of the Association for Computational Linguistics
  33. Efficient Streaming Language Models with Attention Sinks — 2023 · arXiv:2309.17453
  34. Evaluating Large Language Models: A Comprehensive Survey — 2023 · arXiv:2310.19736
  35. Few-shot Adaptation Works with UnpredicTable Data — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  36. Few-shot Unified Question Answering: Tuning Models or Prompts? — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  37. Functional Interpolation for Relative Positions Improves Long Context Transformers — 2023 · arXiv:2310.04418
  38. GameQA: Gamified Mobile App Platform for Building Multiple-Domain Question-Answering Datasets — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
  39. Gemini: A Family of Highly Capable Multimodal Models — 2023 · arXiv:2312.11805
  40. Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank — 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
  41. In-Context Demonstration Selection with Cross Entropy Difference — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  42. InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining — 2023 · arXiv:2310.07713
  43. L-Eval: Instituting Standardized Evaluation for Long Context Language Models — 2023 · arXiv:2307.11088
  44. Learning to Filter Context for Retrieval-Augmented Generation — 2023 · arXiv:2311.08377
  45. Learning to Generalize for Cross-domain QA — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  46. Long Story Generation Challenge — 2023 · Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges
  47. Long-Tailed Question Answering in an Open World — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  48. LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding — 2023 · arXiv:2308.14508
  49. LooGLE: Can Long-Context Language Models Understand Long Contexts? — 2023 · arXiv:2311.04939
  50. MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  51. MVP: Multi-task Supervised Pre-training for Natural Language Generation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  52. Machine Reading Comprehension for Vietnamese Customer Reviews: Task, Corpus and Baseline Models — 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
  53. Machine Reading Comprehension using Case-based Reasoning — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  54. NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation — 2023 · Northern European Journal of Language Technology
  55. NarrativeXL: a Large-scale Dataset for Long-Term Memory Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  56. PARROT: Zero-Shot Narrative Reading Comprehension via Parallel Reading — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  57. Personality Understanding of Fictional Characters during Book Reading — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  58. Position: AI Evaluation Should Learn from How We Test Humans — 2023 · arXiv:2306.10512
  59. Prompt Cache: Modular Attention Reuse for Low-Latency Inference — 2023 · MLSys 2024
  60. Question Answer Generation in Bengali: Mitigating the scarcity of QA datasets in a low-resource language — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  61. Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  62. RA-DIT: Retrieval-Augmented Dual Instruction Tuning — 2023 · arXiv:2310.01352
  63. RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  64. Rethinking Label Smoothing on Multi-hop Question Answering — 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics
  65. Retrieval meets Long Context Large Language Models — 2023 · arXiv:2310.03025
  66. Retrieval-Augmented Generation for Large Language Models: A Survey — 2023 · arXiv:2312.10997
  67. RobustQA: A Framework for Adversarial Text Generation Analysis on Question Answering Systems — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  68. Rogue Scores — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  69. Sound of Story: Multi-modal Storytelling with Audio — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  70. Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  71. Two-step Text Summarization for Long-form Biographical Narrative Genre — 2023 · Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023)
  72. Unleashing the potential of prompt engineering for large language models — 2023 · arXiv:2310.14735 · Patterns 6(6) 101260 (2025)
  73. Unlimiformer: Long-Range Transformers with Unlimited Length Input — 2023 · arXiv:2305.01625
  74. Weakly-Supervised Questions for Zero-Shot Relation Extraction — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  75. ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  76. A Relation Extraction Dataset for Knowledge Extraction from Web Tables — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  77. ASQA: Factoid Questions Meet Long-Form Answers — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  78. Analyzing Dynamic Adversarial Training Data in the Limit — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  79. AugCSE: Contrastive Sentence Embedding with Diverse Augmentations — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  80. Augmenting eBooks with with recommended questions using contrastive fine-tuned T5 — 2022 · Proceedings of the 19th International Conference on Natural Language Processing (ICON)
  81. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models — 2022 · arXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj
  82. Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-centric Summarization — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  83. Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension — our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  84. Holistic Evaluation of Language Models — 2022 · arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023
  85. Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization — 2022 · arXiv:2210.01241
  86. It is AI''s Turn to Ask Humans a Question: Question-Answer Pair Generation for Children''s Story Books — our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  87. Learning and Evaluating Character Representations in Novels — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  88. Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  89. Leveraging QA Datasets to Improve Generative Data Augmentation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  90. Lite Unified Modeling for Discriminative Reading Comprehension — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  91. LittleBird: Efficient Faster & Longer Transformer for Question Answering — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  92. MBTI Personality Prediction for Fictional Characters Using Movie Scripts — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  93. MixQG: Neural Question Generation with Mixed Answer Types — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  94. MuLD: The Multitask Long Document Benchmark — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  95. Multi-VQG: Generating Engaging Questions for Multiple Images — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  96. MultiSpanQA: A Dataset for Multi-Span Question Answering — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  97. Narrative Why-Question Answering: A Review of Challenges and Datasets — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  98. Parameter-Efficient Abstractive Question Answering over Tables or Text — 2022 · Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering
  99. ProQA: Structural Prompt-based Pre-training for Unified Question Answering — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  100. QuALITY: Question Answering with Long Input Texts, Yes! — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Pages: 1 · 2 · 3 · 4 · 5