Shengju Qian

Shengju Qian has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Han Xiao, Haotian Tang, Hongsheng Li.

2 papers in our library · 2023–2024

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, with the number of works on each.

The most cited first (OpenAlex and our library).

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models (2023 · 268 citations)
Extending the context window of a pre-trained LLM is usually very costly, because self-attention cost grows quadratically with sequence length.
Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning (2024 · 117 citations)
Multi-modal large language models (MLLMs) often fail when the answer depends on a small detail in a large or high-resolution image, and their single-pass, black-box answering offers little insight into how a response was produced.

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

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 290 times (of the 149,439 papers whose bibliographies we read); 84 citing papers with a page here →.

Updated 2 November 2026