Shuchang Tao

Shuchang Tao has 2 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning; often with Bolin Ding, Aiwei Liu, Bingbing Xu.

2 papers in our library · 2026

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Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models (2026 · 3 citations)
Reinforcement learning for diffusion large language models (dLLMs) has two weak spots. Rewards are usually sparse outcome scores or unverified process signals, and per-token log-probabilities are approximated without accounting for the expectation over all possible decoding orders. d-TreeRPO addresses both. It…
Incentivizing Strong Reasoning from Weak Supervision (2026 · 1 citation)
Improving LLM reasoning usually requires either reinforcement learning with verifiable rewards, which is compute-intensive, or SFT on long chain-of-thought (CoT) data from very strong teachers, which is costly to obtain.

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Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026