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Shengping Liu

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.CV1
same name
  • Shengping Liu — 5 papers
  • Shengping Liu — 3 papers
  • Shengping Liu — 3 papers
  • Shengping Liu — 1 paper, h 8
  • Shengping Liu — 1 paper
  • Shengping Liu — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedTransparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2025

ASP2LJ : An Adversarial Self-Play Laywer Augmented Legal Judgment Framework

Ao Chang, Tong Zhou, Yubo Chen +4

Legal Judgment Prediction (LJP) aims to predict judicial outcomes, including relevant legal charge, terms, and fines, which is a crucial process in Large Language Model(LLM). Howev…

cs.CL2025

Semantic Pivots Enable Cross-Lingual Transfer in Large Language Models

Kaiyu He, Tong Zhou, Yubo Chen +4

Large language models (LLMs) demonstrate remarkable ability in cross-lingual tasks. Understanding how LLMs acquire this ability is crucial for their interpretability. To quantify t…

cs.CL2025★ 1 cited

Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation

Jiajun Shen, Tong Zhou, Yubo Chen +4

While hallucinations of large language models could been alleviated through retrieval-augmented generation and citation generation, how the model utilizes internal knowledge is sti…

cs.CV2025

Investigating and Enhancing Vision-Audio Capability in Omnimodal Large Language Models

Rui Hu, Delai Qiu, Shuyu Wei +4

Omnimodal Large Language Models (OLLMs) have shown significant progress in integrating vision and text, but still struggle with integrating vision and audio, often exhibiting subop…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.