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Zhen Hao Wong

2 accepted papers

2026

Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions

ICLR 2026poster

Recent advances in large language model (LLM) reasoning have shown that reasoning ability can emerge through reinforcement learning (RL). However, despite these successes, RL in its current form remains insufficient to induce capabilities that exceed the limitations of the base model, as it is prima…

Cited by 0SourcecodeScholar
2025

Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration

ACL 2025long

Efficient data selection is crucial to accelerate the pretraining of language model (LMs). While various methods have been proposed to enhance data efficiency, limited research has addressed the inherent conflicts between these approaches to achieve optimal data selection for LM pretraining. To tack…

Cited by 0SourcePDFScholar