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researcher

Jia Zheng

6 papers hereh-index 7225 citations10 works total

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

author position
  • middle author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.AI1
  • cs.CV1
same name
  • Jia Zheng — 15 papers, h 13
  • Jia Zheng — 3 papers, h 4
  • Jia Zheng — 1 paper, h 1
  • Jia Zheng — 1 paper, h 5
  • Jia Zheng — 1 paper, h 2
  • Jia Zheng — 1 paper, h 1

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
20242026
most citedNot All Contexts Are Equal: Teaching LLMs Credibility-aware Generation

2 citations · 3 across the 5 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

ReasoningLens: Hierarchical Visualization and Diagnostic Auditing for Large Reasoning Models

Jun Zhang, Jiasheng Zheng, Boxi Cao +5

The emergence of Large Reasoning Models has introduced exceptionally long Chain-of-Thought traces, creating a transparency burden where critical logic is often buried under massive…

cs.CL2025★ 1 cited

Large Language Models Often Say One Thing and Do Another

Ruoxi Xu, Hongyu Lin, Xianpei Han +4

As large language models (LLMs) increasingly become central to various applications and interact with diverse user populations, ensuring their reliable and consistent performance i…

cs.CL2024

READoc: A Unified Benchmark for Realistic Document Structured Extraction

Zichao Li, Aizier Abulaiti, Yaojie Lu +5

Document Structured Extraction (DSE) aims to extract structured content from raw documents. Despite the emergence of numerous DSE systems, their unified evaluation remains inadequa…

cs.CL2024★ 2 cited

Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation

Ruotong Pan, Boxi Cao, Hongyu Lin +5

The rapid development of large language models has led to the widespread adoption of Retrieval-Augmented Generation (RAG), which integrates external knowledge to alleviate knowledg…

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