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Jinhua Gao

11 papers hereh-index 14720 citations35 works total

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

author position
  • middle author8

Across the 8 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.SI3
  • cs.LG2
  • astro-ph.IM1
  • q-fin.TR1
same name
  • Jinhua Gao — 5 papers, h 33
  • Jinhua Gao — 3 papers, h 2
  • Jinhua Gao — 2 papers, h 2
  • Jinhua Gao — 1 paper, h 0

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

activity
20172026
most citedFew-Shot Stance Detection via Target-Aware Prompt Distillation

29 citations · 72 across the 11 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

ZenGen: Social Mind for LLMs

ZenGen Team, Ao Xiang, Bi Jingping +57

As large language models move from isolated task solving toward long-term service in human environments, they require social intelligence: the ability to infer mental states, track…

cs.CL2025

Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models

Yilong Xu, Jinhua Gao, Xiaoming Yu +4

Retrieval-Augmented Language Models boost task performance, owing to the retriever that provides external knowledge. Although crucial, the retriever primarily focuses on semantics…

cs.CL2024

ALiiCE: Evaluating Positional Fine-grained Citation Generation

Yilong Xu, Jinhua Gao, Xiaoming Yu +3

Large Language Model (LLM) can enhance its credibility and verifiability by generating text with citations. However, existing research on citation generation is predominantly limit…

cs.CL2022★ 29 cited

Few-Shot Stance Detection via Target-Aware Prompt Distillation

Yan Jiang, Jinhua Gao, Huawei Shen +1

Stance detection aims to identify whether the author of a text is in favor of, against, or neutral to a given target. The main challenge of this task comes two-fold: few-shot learn…

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