Gang Li

Gang Li has 2 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning; often with Jinzhe Li, Meng Zhang, Ming Liu.

2 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).

Knowledge-to-Verification: Exploring RLVR for LLMs in Knowledge-Intensive Domains (2026)
RLVR has improved LLM reasoning mainly in math and code, where answers can be checked automatically. Fields such as agriculture, law and medicine lack such checkable data, and answer-only rewards are sparse and tolerate flawed reasoning. The authors propose K2V (Knowledge-to-Verification) to address both gaps. K2V…
The Digital Dunning-Kruger Effect: Decoupling Hallucinations via Geometric Hidden-state Observation for Semantic Truthfulness (2026)
The paper tackles hallucination detection in LLMs. Black-box detectors that rely on repeated sampling or external verification are accurate but slow. Cheap white-box detectors miss errors that the model states with high confidence. The authors compare this to the Dunning-Kruger effect and split hallucinations into…

6 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.

Updated 2 November 2026