Papers by Yibin Zheng
QuASAR: A Question-Driven Structure-Aware Approach for Table-to-Text Generation (2025.acl-long)
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| Challenge: | Existing methods for table-to-text generation fail to capture the structure of tabular data or rely on complex attention mechanisms, limiting their applicability. |
| Approach: | They propose a question-driven self-supervised approach to enhance the model’s structural perception and representation capabilities by focusing on structure-related queries. |
| Outcome: | The proposed model improves its model's structural perception and representation capabilities by guiding it to capture local and global table structures. |
War of Thoughts: Competition Stimulates Stronger Reasoning in Large Language Models (2025.findings-acl)
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| Challenge: | Recent advances in Large Language Models (LLMs) have reshaped the landscape of reasoning tasks. |
| Approach: | They propose a method that enhances LLM reasoning without finetuning by using test-time scaling. |
| Outcome: | The proposed method outperforms baseline models in both budget and model size. |