Papers by Yonghua Hei
PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions (2025.findings-emnlp)
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Song Dai, Yibo Yan, Jiamin Su, Zihao Dongfang, Yubo Gao, Yonghua Hei, Jungang Li, Junyan Zhang, Sicheng Tao, Zhuoran Gao, Xuming Hu
| Challenge: | Current physics benchmarks focus on text-only inputs or only on problem-solving . current physics reasoning benchmarks neglect critical intermediate steps of variable identification and process formulation. |
| Approach: | a new benchmark evaluates multimodal large language models in physics reasoning . the benchmark measures variables, process formulations, and solution derivation . |
| Outcome: | PhysicsArena is the first multimodal physics reasoning benchmark . it evaluates MLLMs across three critical dimensions: variable identification, process formulation, and solution derivation. |
Unlocking Speech Instruction Data Potential with Query Rewriting (2025.findings-acl)
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| Challenge: | Existing LLMs lack datasets and biased training tasks to follow speech instructions. |
| Approach: | They propose a query rewriting framework that uses multiple agents to annotate and validate the synthesized speech. |
| Outcome: | The proposed framework can transform text instructions into distributions more suitable for TTS models for speech synthesis without human annotation. |