Can Large Language Models Reason about the Region Connection Calculus?
Fuente:
arXiv
Guardado en:
| Autores principales: | Cohn, Anthony G, Blackwell, Robert E |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Evaluating the Ability of Large Language Models to Reason about Cardinal Directions
por: Cohn, Anthony G, et al.
Publicado: (2024)
por: Cohn, Anthony G, et al.
Publicado: (2024)
Evaluating the Ability of Large Language Models to Reason about Cardinal Directions, Revisited
por: Cohn, Anthony G, et al.
Publicado: (2025)
por: Cohn, Anthony G, et al.
Publicado: (2025)
Towards Reproducible LLM Evaluation: Quantifying Uncertainty in LLM Benchmark Scores
por: Blackwell, Robert E., et al.
Publicado: (2024)
por: Blackwell, Robert E., et al.
Publicado: (2024)
Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark
por: Li, Fangjun, et al.
Publicado: (2024)
por: Li, Fangjun, et al.
Publicado: (2024)
QSTRBench: a New Benchmark to Evaluate the Ability of Language Models to Reason with Qualitative Spatial and Temporal Calculi
por: Cohn, Anthony G., et al.
Publicado: (2026)
por: Cohn, Anthony G., et al.
Publicado: (2026)
Can Large Language Models Generalize Procedures Across Representations?
por: Lin, Fangru, et al.
Publicado: (2026)
por: Lin, Fangru, et al.
Publicado: (2026)
Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning
por: Li, Fangjun, et al.
Publicado: (2024)
por: Li, Fangjun, et al.
Publicado: (2024)
Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
por: Lin, Fangru, et al.
Publicado: (2024)
por: Lin, Fangru, et al.
Publicado: (2024)
Can Language Models Reason about Individualistic Human Values and Preferences?
por: Jiang, Liwei, et al.
Publicado: (2024)
por: Jiang, Liwei, et al.
Publicado: (2024)
Large Reasoning Models Struggle to Transfer Parametric Knowledge Across Scripts
por: Bandarkar, Lucas, et al.
Publicado: (2026)
por: Bandarkar, Lucas, et al.
Publicado: (2026)
Large Language Models Can Learn Temporal Reasoning
por: Xiong, Siheng, et al.
Publicado: (2024)
por: Xiong, Siheng, et al.
Publicado: (2024)
Performance Comparison of Large Language Models on Advanced Calculus Problems
por: Moon, In Hak
Publicado: (2025)
por: Moon, In Hak
Publicado: (2025)
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
por: Wang, Jingyuan, et al.
Publicado: (2025)
por: Wang, Jingyuan, et al.
Publicado: (2025)
Code Simulation Challenges for Large Language Models
por: La Malfa, Emanuele, et al.
Publicado: (2024)
por: La Malfa, Emanuele, et al.
Publicado: (2024)
Can Large Language Models do Analytical Reasoning?
por: Hu, Yebowen, et al.
Publicado: (2024)
por: Hu, Yebowen, et al.
Publicado: (2024)
NExT: Teaching Large Language Models to Reason about Code Execution
por: Ni, Ansong, et al.
Publicado: (2024)
por: Ni, Ansong, et al.
Publicado: (2024)
Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?
por: Zhang, Yanjian, et al.
Publicado: (2025)
por: Zhang, Yanjian, et al.
Publicado: (2025)
Can Large Language Models Reason and Plan?
por: Kambhampati, Subbarao
Publicado: (2024)
por: Kambhampati, Subbarao
Publicado: (2024)
BAR: A Backward Reasoning based Agent for Complex Minecraft Tasks
por: Du, Weihong, et al.
Publicado: (2025)
por: Du, Weihong, et al.
Publicado: (2025)
Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking
por: Zhu, Junda, et al.
Publicado: (2025)
por: Zhu, Junda, et al.
Publicado: (2025)
Benchmarking Large Language Models for Calculus Problem-Solving: A Comparative Analysis
por: Moon, In Hak
Publicado: (2025)
por: Moon, In Hak
Publicado: (2025)
Break the Chain: Large Language Models Can be Shortcut Reasoners
por: Ding, Mengru, et al.
Publicado: (2024)
por: Ding, Mengru, et al.
Publicado: (2024)
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models
por: Jiang, Song, et al.
Publicado: (2023)
por: Jiang, Song, et al.
Publicado: (2023)
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?
por: Su, Zhaochen, et al.
Publicado: (2024)
por: Su, Zhaochen, et al.
Publicado: (2024)
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?
por: He, Yancheng, et al.
Publicado: (2025)
por: He, Yancheng, et al.
Publicado: (2025)
Can Large Language Models Act as Symbolic Reasoners?
por: Sullivan, Rob, et al.
Publicado: (2024)
por: Sullivan, Rob, et al.
Publicado: (2024)
Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses
por: Han, Bin, et al.
Publicado: (2025)
por: Han, Bin, et al.
Publicado: (2025)
What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models
por: Yun, Tian, et al.
Publicado: (2025)
por: Yun, Tian, et al.
Publicado: (2025)
WeatherQA: Can Multimodal Language Models Reason about Severe Weather?
por: Ma, Chengqian, et al.
Publicado: (2024)
por: Ma, Chengqian, et al.
Publicado: (2024)
An Empirical Study of Conformal Prediction in LLM with ASP Scaffolds for Robust Reasoning
por: Kaur, Navdeep, et al.
Publicado: (2025)
por: Kaur, Navdeep, et al.
Publicado: (2025)
Large Language Models Can Self-Improve in Long-context Reasoning
por: Li, Siheng, et al.
Publicado: (2024)
por: Li, Siheng, et al.
Publicado: (2024)
LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning about Actions
por: Ishay, Adam, et al.
Publicado: (2025)
por: Ishay, Adam, et al.
Publicado: (2025)
Reasoning Can Hurt the Inductive Abilities of Large Language Models
por: Jin, Haibo, et al.
Publicado: (2025)
por: Jin, Haibo, et al.
Publicado: (2025)
Role-Conditioned Refusals: Evaluating Access Control Reasoning in Large Language Models
por: Klisura, Đorđe, et al.
Publicado: (2025)
por: Klisura, Đorđe, et al.
Publicado: (2025)
SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about Laughter
por: Jung-Mok, Lee, et al.
Publicado: (2026)
por: Jung-Mok, Lee, et al.
Publicado: (2026)
Exploring Spatial Representations in the Historical Lake District Texts with LLM-based Relation Extraction
por: Haris, Erum, et al.
Publicado: (2024)
por: Haris, Erum, et al.
Publicado: (2024)
Can Large Language Models Create New Knowledge for Spatial Reasoning Tasks?
por: Greatrix, Thomas, et al.
Publicado: (2024)
por: Greatrix, Thomas, et al.
Publicado: (2024)
Can't say cant? Measuring and Reasoning of Dark Jargons in Large Language Models
por: Ji, Xu, et al.
Publicado: (2024)
por: Ji, Xu, et al.
Publicado: (2024)
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
por: Yan, Yibo, et al.
Publicado: (2025)
por: Yan, Yibo, et al.
Publicado: (2025)
Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
por: Ni, Jingwei, et al.
Publicado: (2025)
por: Ni, Jingwei, et al.
Publicado: (2025)
Ejemplares similares
-
Evaluating the Ability of Large Language Models to Reason about Cardinal Directions
por: Cohn, Anthony G, et al.
Publicado: (2024) -
Evaluating the Ability of Large Language Models to Reason about Cardinal Directions, Revisited
por: Cohn, Anthony G, et al.
Publicado: (2025) -
Towards Reproducible LLM Evaluation: Quantifying Uncertainty in LLM Benchmark Scores
por: Blackwell, Robert E., et al.
Publicado: (2024) -
Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark
por: Li, Fangjun, et al.
Publicado: (2024) -
QSTRBench: a New Benchmark to Evaluate the Ability of Language Models to Reason with Qualitative Spatial and Temporal Calculi
por: Cohn, Anthony G., et al.
Publicado: (2026)