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researcher

Haozhao Wang

35 papers hereh-index 242.1k citations135 works total

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

author position
  • first author2
  • middle author30
  • last author1

Across the 33 of 35 papers where every author was matched, so the position is known.

fields
  • cs.LG17
  • cs.DC5
  • cs.IR5
  • cs.AI4
  • cs.CL3
  • math.OC1
same name
  • Haozhao Wang — 10 papers
  • Haozhao Wang — 3 papers, h 4
  • Haozhao Wang — 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
20192026
most citedParameterized Knowledge Transfer for Personalized Federated Learning

25 citations · 56 across the 20 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

CallBench: A Benchmark for Dual-Goal Coordination in Phone Call Assistants

Xuzhao Geng, Haozhao Wang, Xuelian Li +4

Target-oriented dialogue systems have demonstrated strong capabilities in completing user goals through interactive conversations. However, existing studies are primarily designed…

cs.AI2025

Is Model Editing Built on Sand? Revealing Its Illusory Success and Fragile Foundation

Wei Liu, Haomei Xu, Bingqing Liu +6

Large language models (LLMs) inevitably encode outdated or incorrect knowledge. Updating, deleting, and forgetting such knowledge is important for alignment, safety, and other issu…

cs.AI2025

Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets

Wei Liu, Zhongyu Niu, Lang Gao +4

This study investigates the self-rationalization framework constructed with a cooperative game, where a generator initially extracts the most informative segment from raw input, an…

cs.AI2025

Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization

Wei Liu, Zhiying Deng, Zhongyu Niu +4

Extracting a small subset of crucial rationales from the full input is a key problem in explainability research. The most widely used fundamental criterion for rationale extraction…

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