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# Who cites «StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts»

35 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/shi-2022-stepgame-new-benchmark-robust-multi/)

1. [How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study](https://aclanthology.org/2026.acl-long.496/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [Multi-Constraint State Tracking with Negation: A Diagnostic Benchmark for LLM World Modeling](https://aclanthology.org/2026.acl-srw.119/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
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. [AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking in Large Language Models](https://arxiv.org/abs/2505.17312) *— 2025 · arXiv:2505.17312*
5. [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)*
6. [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*
7. [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*
8. [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)*
9. [Stable LM 2 1.6B Technical Report](https://arxiv.org/abs/2402.17834) *— 2024 · arXiv:2402.17834*
10. [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*
11. [A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity](https://arxiv.org/abs/2302.04023) *— 2023 · arXiv:2302.04023*
12. [Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text](https://aclanthology.org/2023.findings-acl.321/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
13. [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*
14. [Evaluating Spatial Understanding of Large Language Models](https://arxiv.org/abs/2310.14540) *— 2023 · arXiv:2310.14540*
15. [Rethinking Semi-supervised Learning with Language Models](https://aclanthology.org/2023.findings-acl.347/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
16. [Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding](https://aclanthology.org/2022.naacl-main.234/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
17. [Learning to Execute Actions or Ask Clarification Questions](https://aclanthology.org/2022.findings-naacl.158/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
18. [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*
19. bockling-2026-multiglobeqa-multilingual-globally-diverse-benchmark
20. khalid-2025-large-language-reasoning-models-are
21. kordjamshidi-2024-spatial-temporal-language-understanding-representation
22. li-2023-depwignn-depth-wise-graph-neural
23. li-2024-consecutive-batch-model-editing-hook
24. liu-2025-spatial-reasoning-multimodal-large-language
25. mcpheat-2025-decompsr-dataset-decomposed-analyses-compositional
26. nafar-2024-teaching-probabilistic-logical-reasoning-transformers
27. premsri-2025-forest-frame-reference-evaluation-spatial
28. premsri-2025-neuro-symbolic-training-reasoning-over
29. qin-2025-overview-ccl25-eval-task-1
30. ramezanali-2025-seqbench-tunable-benchmark-quantify-sequential
31. shi-2023-lexical-entrainment-conversational-systems
32. sidhu-2026-grid-spatial-understanding-dataset-textual
33. tang-2025-sparkle-mastering-basic-spatial-capabilities
34. wang-2025-understanding-language-model-solve-symbolic
35. zhang-2024-extracting-following-paths-robust-relational
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