Papers by Tanawan Premsri

2 papers
FoREST: Frame of Reference Evaluation in Spatial Reasoning Tasks (2025.emnlp-main)

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Challenge: Spatial reasoning is a fundamental aspect of human intelligence.
Approach: They propose a framework to assess FoR comprehension in large language models (LLMs) by using the Frame of Reference Evaluation in Spatial Reasoning Tasks benchmark.
Outcome: The proposed method improves overall performance across spatial reasoning tasks.
Neuro-symbolic Training for Reasoning over Spatial Language (2025.findings-naacl)

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Challenge: Spatial reasoning is essential for everyday human tasks and is crucial for robots to interact with their environment in a human-like manner.
Approach: They propose to train language models to adhere to spatial reasoning rules as constraints . this allows them to capture the necessary level of abstraction for spatial reasoning .
Outcome: The proposed technique improves language models in multi-hop spatial reasoning over text . it achieves higher accuracy than other competitive Spatial Question-answering benchmarks .

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