Yixin Ji

Yixin Ji has 3 papers in our library, in 2026, most of them on Reasoning, Language models & pretraining; often with Juntao Li, Min Zhang, Ruotao Xu.

3 papers in our library · 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).

When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient Reasoning (2026 · 1 citation)
Large reasoning models tend to overthink: they keep re-verifying or trying other strategies after they already have a correct solution, which wastes tokens.
GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection (2026)
Sparse tuning methods for large language models usually work along one axis. Some update only a chosen subset of layers using every sample in a batch. Others train all layers on a filtered subset of the data. The authors argue that this ignores a key fact: individual samples help some layers and hurt others.…
When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning (2026)
Tool-Integrated Reasoning (TIR) models solve math problems by interleaving reasoning with code execution. The authors show that these models often handle disagreements between their own reasoning and the tool's output poorly. They audited more than 32k trajectories with an LLM and found that most conflicts are…

7 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 1 time (of the 149,439 papers whose bibliographies we read).

Updated 2 November 2026