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Zhining Liu

26 papers hereh-index 12388 citations31 works total

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

author position
  • first author6
  • middle author20

Across the 26 of 26 papers where every author was matched, so the position is known.

fields
  • cs.LG15
  • cs.AI4
  • cs.CL4
  • cs.CR1
  • cs.CV1
  • cs.CY1
same name
  • Zhining Liu — 4 papers, h 5
  • Zhining Liu — 3 papers, h 15
  • Zhining Liu — 3 papers, h 5
  • Zhining Liu — 3 papers, h 1
  • Zhining Liu — 1 paper
  • Zhining Liu — 1 paper, h 2

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
20232026
most citedAIM: Attributing, Interpreting, Mitigating Data Unfairness

5 citations · 16 across the 26 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

ReContext: Recursive Evidence Replay as LLM Harness for Long-Context Reasoning

Yanjun Zhao, Ruizhong Qiu, Tianxin Wei +6

Understanding and reasoning over long contexts has become a key requirement for deploying large language models (LLMs) in realistic applications. Although recent LLMs support incre…

cs.AI2026★ 1 cited

Agentic Reasoning for Large Language Models

Tianxin Wei, Ting-Wei Li, Zhining Liu +26

Reasoning is a fundamental cognitive process underlying inference, problem-solving, and decision-making. While large language models (LLMs) demonstrate strong reasoning capabilitie…

cs.AI2026

TSAQA: Time Series Analysis Question And Answering Benchmark

Baoyu Jing, Sanhorn Chen, Lecheng Zheng +13

Time series data are integral to critical applications across domains such as finance, healthcare, transportation, and environmental science. While recent work has begun to explore…

cs.AI2025

Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs

Zhining Liu, Ziyi Chen, Hui Liu +9

Vision-Language Models (VLMs) achieve strong results on multimodal tasks such as visual question answering, yet they can still fail even when the correct visual evidence is present…

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