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
- 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)
- MultiGlobeQA: A Multilingual and Globally Diverse Benchmark for Geospatial Reasoning — 2026 · arXiv:2608.03882
- QSTRBench: a New Benchmark to Evaluate the Ability of Language Models to Reason with Qualitative Spatial and Temporal Calculi — 2026 · arXiv:2605.18380
- Reasoning Gets Harder for LLMs Inside A Dialogue — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- TR-TEB: Turkish Text Embedding Benchmark — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- 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
- Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- DrawingBench: Evaluating Spatial Reasoning and UI Interaction Capabilities of Large Language Models through Mouse-Based Drawing Tasks — 2025 · arXiv:2512.01174
- FoREST: Frame of Reference Evaluation in Spatial Reasoning Tasks — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)
- Large Language and Reasoning Models are Shallow Disjunctive Reasoners — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Learning Language through Grounding — 2025 · Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 5: Tutorial Abstracts)
- MMTEB: Massive Multilingual Text Embedding Benchmark — 2025 · arXiv:2502.13595
- MastermindEval: A Simple But Scalable Reasoning Benchmark — 2025 · arXiv:2503.05891
- Navigating Motion Agents in Dynamic and Cluttered Environments through LLM Reasoning — 2025 · arXiv:2503.07323
- Neuro-symbolic Training for Reasoning over Spatial Language — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
- Overview of CCL25-Eval Task 1: The Fifth Spatial Cognition Evaluation (SpaCE2025) — 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)
- Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Spatial Reasoning in Multimodal Large Language Models: A Survey of Tasks, Benchmarks and Methods — 2025 · arXiv:2511.15722
- Spatial Representation of Large Language Models in 2D Scene — 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)
- iVISPAR –- An Interactive Visual-Spatial Reasoning Benchmark for VLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- seqBench: A Tunable Benchmark to Quantify Sequential Reasoning Limits of LLMs — 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
- Extracting and Following Paths for Robust Relational Reasoning with Large Language Models — 2024 · arXiv:2412.17963 · Transactions on Machine Learning Research, 2026
- 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)
- Spatial and Temporal Language Understanding: Representation, Reasoning, and Grounding — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 5: Tutorial Abstracts)
- 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
- DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text — 2023 · Findings of the Association for Computational Linguistics: EMNLP 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
- 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
- SpaceNLI: Evaluating the Consistency of Predicting Inferences In Space — 2023 · Proceedings of the 4th Natural Logic Meets Machine Learning Workshop
- Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models — 2023 · arXiv:2310.00836
- TraVLR: Now You See It, Now You Don''t! A Bimodal Dataset for Evaluating Visio-Linguistic Reasoning — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
- Unifying Structure Reasoning and Language Model Pre-training for Complex Reasoning — 2023 · arXiv:2301.08913
- Visual Spatial Reasoning — 2023
- Zero-shot Probing of Pretrained Language Models for Geography Knowledge — 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems
- 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