Jason Klein Liu

According to our database1, Jason Klein Liu authored at least 7 papers between 2024 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
What Makes Diffusion Language Models Super Data Learners?
CoRR, October, 2025

Rethinking KL Regularization in RLHF: From Value Estimation to Gradient Optimization.
CoRR, October, 2025

The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward.
CoRR, September, 2025

LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs.
CoRR, April, 2025

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence.
CoRR, February, 2025

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.
CoRR, 2024


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