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researcher

Kai Shu

4 papers hereh-index 4542 citations9 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CL1
  • cs.MM1
same name
  • Kai Shu — 9 papers, h 10
  • Kai Shu — 8 papers, h 8
  • Kai Shu — 6 papers, h 3
  • Kai Shu — 5 papers, h 3
  • Kai Shu — 5 papers, h 1
  • Kai Shu — 3 papers, h 4

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

collaborators

4 papers

cs.MM2026

MOMENTA: Mixture-of-Experts Over Multimodal Embeddings with Neural Temporal Aggregation for Misinformation Detection

Yeganeh Abdollahinejad, Ahmad Mousavi, Naeemul Hassan +4

The widespread dissemination of multimodal content on social media has made misinformation detection increasingly challenging, as misleading narratives often arise not only from te…

cs.CL2025

Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm

Baixiang Huang, Zhen Tan, Haoran Wang +6

Agents based on Large Language Models (LLMs) have demonstrated strong capabilities across a wide range of tasks. However, deploying LLM-based agents in high-stakes domains comes wi…

cs.AI2025

Who's Your Judge? On the Detectability of LLM-Generated Judgments

Dawei Li, Zhen Tan, Chengshuai Zhao +6

Large Language Model (LLM)-based judgments leverage powerful LLMs to efficiently evaluate candidate content and provide judgment scores. However, the inherent biases and vulnerabil…

cs.AI2025

From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge

Dawei Li, Bohan Jiang, Liangjie Huang +10

Assessment and evaluation have long been critical challenges in artificial intelligence (AI) and natural language processing (NLP). Traditional methods, usually matching-based or s…

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