Papers by Tianheng Wang

2 papers
Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language Models (2026.acl-long)

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Challenge: Existing benchmarks explore aspects of threedimensional spatial reasoning and visual-language reasoning in dynamic environments, but they are unable to perform well on 3D spatial deformation reasoning.
Approach: They propose to use a ladder competition format to assess the model's spatial deformation reasoning abilities to determine its performance.
Outcome: The proposed framework assesses the performance of Vision-Language Models in spatial deformation reasoning tasks.
SR-LLM: Rethinking the Structured Representation in Large Language Model (2025.acl-long)

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Challenge: Structured representations have long been pivotal in computational linguistics, but their role remains ambiguous in the Large Language Models (LLMs) era.
Approach: They propose a framework that integrates structured representations into LLMs from training-free and training-dependent perspectives.
Outcome: The proposed framework integrates structured representations through natural language descriptions in LLM prompts while augmenting the model’s inference capability through fine-tuning on linguistically described structured representation.

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