Papers by Yuanyuan Shi
ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling (2026.acl-long)
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Jianghao Lin, Yuanyuan Shi, Xin Peng, Renjie Ding, Hairui Wang, Yuxuan Peng, Bizhe Bai, Weixi Song, Fengshuo Bai, Huacan Chai, Weinan Zhang, Fei Huang, Ying Wen
| Challenge: | Existing research on inference scaling focuses on unstructured output generation tasks, such as mathematical problems. |
| Approach: | They propose an inference-scaling framework that combines fine-grained beam search with ToolPRM, a process reward model scoring each intra-call decision. |
| Outcome: | The proposed framework outperforms outcome and coarse-grained reward models in predictive accuracy and yields consistent test-time gains on multiple function-calling benchmarks. |
Uncovering the Bigger Picture: Comprehensive Event Understanding Via Diverse News Retrieval (2025.emnlp-main)
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| Challenge: | Existing news retrieval systems prioritize textual relevance, leading to redundancy and limited viewpoint exposure. |
| Approach: | They propose a framework that explicitly models semantic variation at the sentence level. |
| Outcome: | The proposed framework outperforms strong baselines in terms of retrieval diversity without compromising relevance. |