Mengzhang Cai

According to our database1, Mengzhang Cai authored at least 14 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
MinerU2.5-Pro: Pushing the Limits of Data-Centric Document Parsing at Scale.
CoRR, April, 2026

Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training.
CoRR, March, 2026

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch.
CoRR, January, 2026

Closing the Data Loop: Using OpenDataArena to Engineer Superior Training Datasets.
CoRR, January, 2026

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Heterogeneous Adaptive Policy Optimization: Tailoring Optimization to Every Token's Nature.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
OpenDataArena: A Fair and Open Arena for Benchmarking Post-Training Dataset Value.
CoRR, December, 2025

From Uniform to Heterogeneous: Tailoring Policy Optimization to Every Token's Nature.
CoRR, September, 2025

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment.
CoRR, May, 2025

MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer.
CoRR, March, 2025

Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2022
Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021
Random Sampling Weights Allocation Update for Deep Reinforcement Learning.
Proceedings of the Neural Information Processing - 28th International Conference, 2021


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