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Suhang Wang

12 papers hereh-index 4226 citations14 works total

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

author position
  • first author1
  • middle author4
  • last author7

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.CL2
  • cs.SE2
  • cs.CR1
  • cs.CV1
  • cs.IR1
same name
  • Suhang Wang — 24 papers, h 10
  • Suhang Wang — 20 papers, h 9
  • Suhang Wang — 7 papers, h 2
  • Suhang Wang — 5 papers, h 4
  • Suhang Wang — 5 papers, h 3
  • Suhang Wang — 3 papers, h 20

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
collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents

Minhua Lin, Juncheng Wu, Zijun Wang +14

LLM agents are increasingly deployed as systems built around editable external harnesses, including prompts, skills, memories and tools, that shape task execution without changing…

cs.AI2026

Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue

Ali Al-Lawati, Nafis Tripto, Abolfazl Ansari +3

The emergence of multi-agent systems introduces novel moderation challenges that extend beyond content filtering. Agents with malicious intent may contribute harmful content that a…

cs.AI2026

Query-Efficient Agentic Graph Extraction Attacks on GraphRAG Systems

Shuhua Yang, Jiahao Zhang, Yilong Wang +2

Graph-based retrieval-augmented generation (GraphRAG) systems construct knowledge graphs over document collections to support multi-hop reasoning. While prior work shows that Graph…

cs.AI2025

Divide-Verify-Refine: Can LLMs Self-Align with Complex Instructions?

Xianren Zhang, Xianfeng Tang, Hui Liu +4

Recent studies show LLMs struggle with complex instructions involving multiple constraints (e.g., length, format, sentiment). Existing works address this issue by fine-tuning, whic…

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