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# Who cites «SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning»

52 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/mirzaee-2021-spartqa-textual-question-answering-benchmark/)

1. [Can LLMs Learn to Map the World from Local Descriptions?](https://aclanthology.org/2026.acl-long.128/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [More Than Efficiency: Embedding Compression Improves Domain Adaptation in Dense Retrieval](https://aclanthology.org/2026.surgellm-1.24/) *— 2026 · Proceedings of the First Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era (SURGeLLM 2026)*
3. [QSTRBench: a New Benchmark to Evaluate the Ability of Language Models to Reason with Qualitative Spatial and Temporal Calculi](https://arxiv.org/abs/2605.18380) *— 2026 · arXiv:2605.18380*
4. [BIG-Bench Extra Hard](https://aclanthology.org/2025.acl-long.1285/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
5. [Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation](https://aclanthology.org/2025.coling-main.223/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
6. [MMTEB: Massive Multilingual Text Embedding Benchmark](https://arxiv.org/abs/2502.13595) *— 2025 · arXiv:2502.13595*
7. [iVISPAR –- An Interactive Visual-Spatial Reasoning Benchmark for VLMs](https://aclanthology.org/2025.emnlp-main.1359/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
8. [Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark](https://arxiv.org/abs/2401.03991) *— 2024 · arXiv:2401.03991*
9. [Instruction Pre-Training: Language Models are Supervised Multitask Learners](https://aclanthology.org/2024.emnlp-main.148/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
10. [Mind''s Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models](https://arxiv.org/abs/2404.03622) *— 2024 · arXiv:2404.03622*
11. [SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models](https://aclanthology.org/2024.acl-long.261/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [The Fourth Evaluation on Chinese Spatial Cognition](https://aclanthology.org/2024.ccl-3.14/) *— 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)*
13. [TopViewRS: Vision-Language Models as Top-View Spatial Reasoners](https://aclanthology.org/2024.emnlp-main.106/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
14. [tasksource: A Large Collection of NLP tasks with a Structured Dataset Preprocessing Framework](https://aclanthology.org/2024.lrec-main.1361/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
15. [基于参数高效微调与半监督学习的空间语义理解](https://aclanthology.org/2024.ccl-3.10/) *— 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)*
16. [A Benchmark for Reasoning with Spatial Prepositions](https://aclanthology.org/2023.emnlp-main.1015/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
17. [A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity](https://arxiv.org/abs/2302.04023) *— 2023 · arXiv:2302.04023*
18. [Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning](https://aclanthology.org/2023.findings-emnlp.221/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
19. [Evaluating Spatial Understanding of Large Language Models](https://arxiv.org/abs/2310.14540) *— 2023 · arXiv:2310.14540*
20. [PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners](https://aclanthology.org/2023.eacl-main.41/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
21. [SpaCE2022中文空间语义理解评测任务数据集分析报告(A Quality Assessment Report of the Chinese Spatial Cognition Evaluation Benchmark)](https://aclanthology.org/2023.ccl-1.48/) *— 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics*
22. [Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models](https://arxiv.org/abs/2310.00836) *— 2023 · arXiv:2310.00836*
23. [Unifying Structure Reasoning and Language Model Pre-training for Complex Reasoning](https://arxiv.org/abs/2301.08913) *— 2023 · arXiv:2301.08913*
24. [Visual Spatial Reasoning](https://aclanthology.org/2023.tacl-1.37/) *— 2023*
25. [StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts](https://md.mova.elamur.ai/free/en/docs/papers/shi-2022-stepgame-new-benchmark-robust-multi/) *— our card · 2022 · arXiv:2204.08292*
26. [Things not Written in Text: Exploring Spatial Commonsense from Visual Signals](https://aclanthology.org/2022.acl-long.168/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
27. [Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning](https://aclanthology.org/2022.emnlp-main.413/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
28. [Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding](https://aclanthology.org/2021.findings-emnlp.422/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
29. abzianidze-2023-spacenli-evaluating-consistency-predicting-inferences
30. arslan-2026-tr-teb-turkish-text-embedding
31. bockling-2026-multiglobeqa-multilingual-globally-diverse-benchmark
32. chow-2023-travlr-now-you-see-it
33. gao-2025-do-vision-language-models-have
34. golde-2025-mastermindeval-simple-but-scalable-reasoning
35. kartac-2026-reasoning-gets-harder-llms-inside
36. khalid-2025-large-language-reasoning-models-are
37. kim-2025-drawingbench-evaluating-spatial-reasoning-ui
38. kordjamshidi-2024-spatial-temporal-language-understanding-representation
39. li-2023-depwignn-depth-wise-graph-neural
40. liu-2025-spatial-reasoning-multimodal-large-language
41. premsri-2025-forest-frame-reference-evaluation-spatial
42. premsri-2025-neuro-symbolic-training-reasoning-over
43. qin-2025-overview-ccl25-eval-task-1
44. ramezanali-2025-seqbench-tunable-benchmark-quantify-sequential
45. ramrakhiyani-2023-zero-shot-probing-pretrained-language
46. seegmiller-2023-statistical-depth-ranking-characterizing-transformer
47. shi-2025-learning-language-through-grounding
48. tang-2025-sparkle-mastering-basic-spatial-capabilities
49. wu-2025-spatial-representation-large-language-models
50. yamada-2025-l3go-language-agents-chain-3d
51. zhang-2024-extracting-following-paths-robust-relational
52. zhao-2025-navigating-motion-agents-dynamic-cluttered
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