Shangqing Tu

Shangqing Tu has 2 papers in our library, in 2024–2026, most of them on Reasoning; often with Juanzi Li, Lei Hou, Yushi Bai.

2 papers in our library · 2024–2026

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).

LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks (2024 · 135 citations)
Most long-context benchmarks reward shallow skills. Answers can often be pulled straight from the text, tasks are frequently synthetic, and scoring relies on fragile metrics like F1 or ROUGE. LongBench v2 targets genuine comprehension and reasoning over very long inputs instead. The authors gathered 503 English…
DeepPrune: Parallel Scaling without Inter-trace Redundancy (2026 · 3 citations)
Parallel scaling has an LLM generate many Chain-of-Thought traces for one problem and aggregate them. It improves reasoning accuracy but consumes enormous token budgets. The authors show that most of this spending is redundant. Across trace pairs from four reasoning models, more than 80% of pairs reach the same final…

12 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 385 times (of the 149,439 papers whose bibliographies we read); 86 citing papers with a page here →.

Updated 31 October 2026