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Yang Wang

15 papers hereh-index 330 citations15 works total

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

author position
  • first author6
  • middle author8

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • cs.LG2
  • cs.SD2
  • cs.AI1
  • cs.CV1
same name
  • Yang Wang — 91 papers, h 102
  • Yang Wang — 34 papers, h 24
  • Yang Wang — 20 papers, h 14
  • Yang Wang — 19 papers, h 13
  • Yang Wang — 14 papers, h 6
  • Yang Wang — 12 papers, h 10

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 citedFrom Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls

2 citations · 3 across the 13 of their papers we have counts for

collaborators
Showing 2026 · cs.CLShow all

4 papers · 2 filters

cs.CL2026

Calibrated Typed Decisions for Entity, Relation, and Event Extraction

Yang Wang, Hanlin Xiao, Yanan Ma +2

Information extraction models often perform well on the datasets they are trained on, but transferring to new domains and annotation guidelines remains challenging. Supporting user…

cs.CL2026

Reading Between the Frames of Multimodal Drivelology

Yang Wang, Yanan Ma, Yiqi Liu +8

Social media videos often communicate meanings that go beyond their visible actions, captions, or speech. A mundane clip may become humorous, ironic, or satire only through the int…

cs.CL2026

Hybrid Adversarial Defence for Natural Language Understanding Tasks

Manar Abouzaid, Yang Wang, Chenghua Lin +1

Large Language Models (LLMs) are vulnerable both to hallucination and adversarial manipulation. Although these problems are closely related, existing defences typically address the…

cs.CL2026

Evaluating LLM-Based Grant Proposal Review via Structured Perturbations

William Thorne, Joseph James, Yang Wang +2

As AI-assisted grant proposals outpace manual review capacity in a kind of ``Malthusian trap'' for the research ecosystem, this paper investigates the capabilities and limitations…

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