Who cites «StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts»
- How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Multi-Constraint State Tracking with Negation: A Diagnostic Benchmark for LLM World Modeling — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
- QSTRBench: a New Benchmark to Evaluate the Ability of Language Models to Reason with Qualitative Spatial and Temporal Calculi — 2026 · arXiv:2605.18380
- AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking in Large Language Models — 2025 · arXiv:2505.17312
- BIG-Bench Extra Hard — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark — 2024 · arXiv:2401.03991
- Mind''s Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models — 2024 · arXiv:2404.03622
- SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Stable LM 2 1.6B Technical Report — 2024 · arXiv:2402.17834
- TopViewRS: Vision-Language Models as Top-View Spatial Reasoners — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity — 2023 · arXiv:2302.04023
- Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Evaluating Spatial Understanding of Large Language Models — 2023 · arXiv:2310.14540
- Rethinking Semi-supervised Learning with Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Learning to Execute Actions or Ask Clarification Questions — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
- Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- bockling-2026-multiglobeqa-multilingual-globally-diverse-benchmark
- khalid-2025-large-language-reasoning-models-are
- kordjamshidi-2024-spatial-temporal-language-understanding-representation
- li-2023-depwignn-depth-wise-graph-neural
- li-2024-consecutive-batch-model-editing-hook
- liu-2025-spatial-reasoning-multimodal-large-language
- mcpheat-2025-decompsr-dataset-decomposed-analyses-compositional
- nafar-2024-teaching-probabilistic-logical-reasoning-transformers
- premsri-2025-forest-frame-reference-evaluation-spatial
- premsri-2025-neuro-symbolic-training-reasoning-over
- qin-2025-overview-ccl25-eval-task-1
- ramezanali-2025-seqbench-tunable-benchmark-quantify-sequential
- shi-2023-lexical-entrainment-conversational-systems
- sidhu-2026-grid-spatial-understanding-dataset-textual
- tang-2025-sparkle-mastering-basic-spatial-capabilities
- wang-2025-understanding-language-model-solve-symbolic
- zhang-2024-extracting-following-paths-robust-relational
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