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researcher

Ziyi He

The University of Hong Kong

6 papers hereh-index 366 citations7 works total

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

author position
  • first author1
  • middle author5

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

fields
  • cs.CL4
  • cs.AI2
affiliations
  • The University of Hong Kong
ORCID 0009-0008-3737-9487
same name
  • Ziyi He — 8 papers, h 10
  • Ziyi He — 2 papers, h 1
  • Ziyi He — 2 papers, h 5
  • Ziyi He — 1 paper, h 2
  • Ziyi He — 1 paper, h 1
  • Ziyi He — 1 paper

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
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Dental-TriageBench: Benchmarking Multimodal Reasoning for Hierarchical Dental Triage

Ziyi He, Yushi Feng, Shuangyu Yang +7

Dental triage is a safety-critical clinical routing task that requires integrating multimodal clinical information (e.g., patient complaints and radiographic evidence) to determine…

cs.CL2026

SearchGym: Bootstrapping Real-World Search Agents via Cost-Effective and High-Fidelity Environment Simulation

Xichen Zhang, Ziyi He, Yinghao Zhu +6

Search agents have emerged as a pivotal paradigm for solving open-ended, knowledge-intensive reasoning tasks. However, training these agents via Reinforcement Learning (RL) faces a…

cs.CL2025

SmartSwitch: Advancing LLM Reasoning by Overcoming Underthinking via Promoting Deeper Thought Exploration

Xichen Zhang, Sitong Wu, Haoru Tan +4

The long chain-of-thought (LongCoT) capability is central to the recent breakthroughs achieved by large language models in complex reasoning tasks. However, the accompanying issue…

cs.CL2025

Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning

Xichen Zhang, Sitong Wu, Yinghao Zhu +4

Reinforcement learning from verifiable rewards has emerged as a powerful technique for enhancing the complex reasoning abilities of Large Language Models (LLMs). However, these met…

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