Who cites «SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning»
- Can LLMs Learn to Map the World from Local Descriptions? — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- More Than Efficiency: Embedding Compression Improves Domain Adaptation in Dense Retrieval — 2026 · Proceedings of the First Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era (SURGeLLM 2026)
- QSTRBench: a New Benchmark to Evaluate the Ability of Language Models to Reason with Qualitative Spatial and Temporal Calculi — 2026 · arXiv:2605.18380
- BIG-Bench Extra Hard — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- MMTEB: Massive Multilingual Text Embedding Benchmark — 2025 · arXiv:2502.13595
- iVISPAR –- An Interactive Visual-Spatial Reasoning Benchmark for VLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark — 2024 · arXiv:2401.03991
- Instruction Pre-Training: Language Models are Supervised Multitask Learners — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- 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)
- The Fourth Evaluation on Chinese Spatial Cognition — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
- TopViewRS: Vision-Language Models as Top-View Spatial Reasoners — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- tasksource: A Large Collection of NLP tasks with a Structured Dataset Preprocessing Framework — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- 基于参数高效微调与半监督学习的空间语义理解 — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
- A Benchmark for Reasoning with Spatial Prepositions — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity — 2023 · arXiv:2302.04023
- 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
- PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
- 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) — 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics
- Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models — 2023 · arXiv:2310.00836
- Unifying Structure Reasoning and Language Model Pre-training for Complex Reasoning — 2023 · arXiv:2301.08913
- Visual Spatial Reasoning — 2023
- StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts — our card · 2022 · arXiv:2204.08292
- Things not Written in Text: Exploring Spatial Commonsense from Visual Signals — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- abzianidze-2023-spacenli-evaluating-consistency-predicting-inferences
- arslan-2026-tr-teb-turkish-text-embedding
- bockling-2026-multiglobeqa-multilingual-globally-diverse-benchmark
- chow-2023-travlr-now-you-see-it
- gao-2025-do-vision-language-models-have
- golde-2025-mastermindeval-simple-but-scalable-reasoning
- kartac-2026-reasoning-gets-harder-llms-inside
- khalid-2025-large-language-reasoning-models-are
- kim-2025-drawingbench-evaluating-spatial-reasoning-ui
- kordjamshidi-2024-spatial-temporal-language-understanding-representation
- li-2023-depwignn-depth-wise-graph-neural
- liu-2025-spatial-reasoning-multimodal-large-language
- 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
- ramrakhiyani-2023-zero-shot-probing-pretrained-language
- seegmiller-2023-statistical-depth-ranking-characterizing-transformer
- shi-2025-learning-language-through-grounding
- tang-2025-sparkle-mastering-basic-spatial-capabilities
- wu-2025-spatial-representation-large-language-models
- yamada-2025-l3go-language-agents-chain-3d
- zhang-2024-extracting-following-paths-robust-relational
- zhao-2025-navigating-motion-agents-dynamic-cluttered
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