Papers by Qiyue Yin
Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning (2025.findings-emnlp)
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| Challenge: | Existing methods for training effective PRMs focus on the first incorrect step and all preceding steps, assuming that all subsequent steps are incorrect. |
| Approach: | They propose a data annotation method specifically designed to score the long CoT reasoning process by using an LLM-based judger for annotation. |
| Outcome: | The proposed method improves PRMs' ability to identify effective self-correction behaviors and reasoning based on erroneous steps. |
Counter-Contrastive Learning for Language GANs (2021.findings-emnlp)
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| Challenge: | Generative Adversarial Networks (GANs) have proven to be difficult to generate natural language due to the uninformative learning signals passed from the discriminator. |
| Approach: | They propose to adopt the counter-contrastive learning method to support the generator’s training in language GANs by pulling the language representations of generated and real samples together and pushing apart representations. |
| Outcome: | The proposed method outperforms existing GANs on synthetic and real benchmarks and yields competitive performance compared to previous methods. |