Shuliang Liu

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).

Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework (2026 · 2 citations)
Multi-vector models for Visual Document Retrieval (VDR), such as those in the ColPali family, represent each page as hundreds or thousands of patch embeddings.
Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering (2026 · 1 citation)
Multimodal LLMs often describe objects that are not in the image. The authors trace this to models trusting language-based expectations over what the image actually shows. They propose Vision-Language Introspection (VLI), a training-free method applied at inference time.
Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling (2026)
LLM-based evaluators ("LLM-as-a-Judge") tend to rate their own outputs, or outputs resembling their style, more favorably.

12 of 15 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 3 times (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026