Zhenru Zhang

According to our database1, Zhenru Zhang authored at least 17 papers between 2022 and 2025.

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Bibliography

2025
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.
CoRR, June, 2025

WorldPM: Scaling Human Preference Modeling.
CoRR, May, 2025

Qwen3 Technical Report.
CoRR, May, 2025

START: Self-taught Reasoner with Tools.
CoRR, March, 2025

ProcessBench: Identifying Process Errors in Mathematical Reasoning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

The Lessons of Developing Process Reward Models in Mathematical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Qwen2.5 Technical Report.
CoRR, 2024

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.
CoRR, 2024

Qwen2 Technical Report.
CoRR, 2024

VG-Annotator: Vision-Language Models as Query Annotators for Unsupervised Visual Grounding.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
Qwen Technical Report.
CoRR, 2023

VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning.
CoRR, 2023

Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Contrastive Demonstration Tuning for Pre-trained Language Models.
CoRR, 2022

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population.
CoRR, 2022

Contrastive Demonstration Tuning for Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022


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