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Meiyi Qiang

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

BRACE: A Benchmark for Robust Audio Caption Quality Evaluation

NeurIPS 2025poster

Automatic audio captioning is essential for audio understanding, enabling applications such as accessibility and content indexing. However, evaluating the quality of audio captions remains a major challenge, especially in reference-free settings where high-quality ground-truth captions are unavailab…

Cited by 0SourcecodeScholar