Tiantian Fan

Tiantian Fan has 2 papers in our library, in 2025, most of them on Language models & pretraining, Reasoning; often with Lingjun Liu, Xin Liu, Yu Yue.

2 papers in our library · 2025

The profile is the library's match of the name; two people with one name are not always told apart.

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: the number of works on each and its rating among them.

The most cited first (OpenAlex and our library).

DAPO: An Open-Source LLM Reinforcement Learning System at Scale (2025 · 634 citations)
Reasoning-focused LLMs such as OpenAI o1 and DeepSeek R1 get much of their ability from large-scale reinforcement learning, but their reports leave out the training details that matter, so others have struggled to reproduce the results.
Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning (2025 · 61 citations)
Seed1.5-Thinking is a reasoning model from ByteDance Seed. It works through an extended chain of thought before giving its answer. The authors identify three factors behind strong reasoning models: training data, a stable RL algorithm and scalable RL infrastructure.

8 co-authors with a page, the most papers together first.

Papers of our library cite their works 678 times (of the 141,840 papers whose bibliographies we read); 16 citing papers with a page here →.

Updated 24 October 2026