Who cites «The NarrativeQA Reading Comprehension Challenge» · page 4
- Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Commonsense for Generative Multi-Hop Question Answering Tasks — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Comparative Analysis of Neural QA models on SQuAD — 2018 · Proceedings of the Workshop on Machine Reading for Question Answering
- Cut to the Chase: A Context Zoom-in Network for Reading Comprehension — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Deep Learning: A Critical Appraisal — 2018 · arXiv:1801.00631
- DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Efficient and Robust Question Answering from Minimal Context over Documents — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Learning to Search in Long Documents Using Document Structure — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
- Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds — our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Neural Approaches to Conversational AI — 2018 · arXiv:1809.08267
- QuAC: Question Answering in Context — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension — 2018 · arXiv:1810.12885
- The price of debiasing automatic metrics in natural language evalaution — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Towards Inference-Oriented Reading Comprehension: ParallelQA — 2018 · Proceedings of the Workshop on Generalization in the Age of Deep Learning
- What Makes Reading Comprehension Questions Easier? — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications — 2017 · arXiv:1711.05073
- MS MARCO: A Human Generated MAchine Reading COmprehension Dataset — 2016 · arXiv:1611.09268
- ahrabian-2024-adaptation-unlimiformer-decoder-only-transformers
- aksu-2021-velocidapter-task-oriented-dialogue-comprehension
- alla-2025-budgetmem-training-free-selective-memory
- an-2025-long-chain-thought-fine-tuning
- angelidis-2019-book-qa-stories-challenges-opportunities
- bae-2023-sound-story-multi-modal-storytelling
- bansal-2023-few-shot-unified-question-answering
- berger-2021-increasing-sentence-level-comprehension-through
- berhe-2022-survey-narrative-structure-linguistic-theories
- bhat-2021-hierarchical-encoders-modeling-interpreting-screenplays
- bleiweiss-2023-two-step-text-summarization-long
- bonomo-2025-literaryqa-effective-evaluation-long-document
- boreshban-2023-robustqa-framework-adversarial-text-generation
- byerly-2026-self-consistency-falls-short-adverse
- cao-2025-sync-synthetic-long-context-understanding
- carlsson-2021-gandalf-general-character-name-description
- chawla-2025-fb-rag-improving-rag-forward
- chen-2020-developing-how-tip-machine-comprehension
- chen-2025-longleader-comprehensive-leaderboard-large-language
- chen-2026-beyond-chunking-discourse-aware-hierarchical
- chen-2026-msa-memory-sparse-attention-efficient
- chernyavskiy-2026-discorag-discourse-aware-agent-query
- chitale-2025-evaluating-effectiveness-scalability-llm-based
- datta-2021-virtual-pre-service-teacher-assessment
- ding-2026-hierarchical-token-prepending-enhancing-information
- djenovic-2026-development-serbian-qa-datasets-through
- do-2023-machine-reading-comprehension-vietnamese-customer
- duan-2026-chunks-as-arms-multi-armed
- ficek-2024-gpt-vs-retro-exploring-intersection
- fung-2023-deepmaven-deep-question-answering-long
- ghosh-2025-onebench-test-them-all-sample
- gill-2025-what-has-been-lost-synthetic
- gillick-2018-telling-stories-soundtracks-empirical-analysis
- gioffre-2026-indaqa2-large-italian-narrative-qa
- glavas-2026-intra-prompt-parallel-decoding-common
- grijalba-2026-enhancing-evaluating-tabular-models-fly
- gu-2026-brief-pro-universal-context-compression
- gupta-2025-novelhopqa-diagnosing-multi-hop-reasoning
- gupta-2026-learning-optimal-message-representations-agentic
- he-2026-budgetdraft-acceptance-aware-multi-view
- hu-2026-memory-matters-more-event-centric
- hu-2026-optimizing-native-sparse-attention-latent
- huang-2025-multi-document-question-answering-scientific
- jahan-2026-lfqa-hp-1m-large-scale
- javadi-2025-can-stories-help-llms-reason
- jin-2026-sara-selective-adaptive-retrieval-augmented
- johnson-2025-ficsim-dataset-multi-faceted-semantic
- kalbaliyev-2024-narrative-question-answering-skills
- krishnamurthy-2021-reference-based-weak-supervision-answer
- kumar-2022-augmenting-ebooks-recommended-questions-contrastive
- laitenberger-2025-stronger-baselines-retrieval-augmented-generation
- leite-2025-advancing-question-generation-joint-narrative
- li-2023-question-interlocutor-scope-realized-graph
- li-2025-context-efficient-retrieval-factual-decomposition
- li-2025-glider-global-local-instruction-driven
- li-2025-llm-as-judge-failures-automating
- li-2025-unirag-unified-query-understanding-method
- lin-2021-readonce-transformers-reusable-representations-text
- lin-2025-facilitating-long-context-understanding-supervised
- liu-2024-bridging-context-gaps-leveraging-coreference
- liu-2024-chatqa-surpassing-gpt-4-conversational
- liu-2025-hsgm-hierarchical-segment-graph-memory
- liu-2026-instella-moe-technical-report
- lizzo-2025-unlearn-efficient-removal-knowledge-large
- lv-2024-critiprefill-segment-wise-criticality-based
- madhusudan-2025-fine-tuned-llms-are-time
- mahalingam-2025-sketch-structured-knowledge-enhanced-text
- marcuzzo-2025-morables-benchmark-assessing-abstract-moral
- matsushima-2026-aqpim-breaking-pim-capacity-wall
- meng-2025-understanding-bottlenecks-efficiently-serving-llm
- metel-2024-batch-max-higher-llm-throughput
- moroni-2025-what-we-learned-continually-training
- nie-2023-attenwalker-unsupervised-long-document-question
- novak-2023-question-answering-benchmark-database-hungarian
- park-2025-accelerating-llm-inference-precomputed-query
- park-2026-tempokv-timely-staging-llm-kv
- qian-2025-boosting-long-context-information-seeking
- qiu-2025-think-both-ways-teacher-student
- s-2024-tale-two-revisions-summarizing-changes
- safaya-2024-neurocache-efficient-vector-retrieval-long
- shen-2025-adapting-large-language-models-movie
- sheng-2025-dynamic-chunking-selection-reading-comprehension
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