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researcher

Zili Wang

41 papers hereh-index 171.1k citations58 works total

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

author position
  • first author5
  • middle author30
  • last author1

Across the 36 of 41 papers where every author was matched, so the position is known.

fields
  • cs.LG13
  • cs.CL12
  • cs.CV6
  • cs.AI4
  • cs.MM2
  • cs.SD2
same name
  • Zili Wang — 20 papers, h 26
  • Zili Wang — 9 papers, h 8
  • Zili Wang — 2 papers, h 2
  • Zili Wang — 1 paper, h 4
  • Zili Wang — 1 paper, h 0
  • Zili Wang — 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

activity
20232026
most citedHyperMoE: Towards Better Mixture of Experts via Transferring Among Experts

5 citations · 33 across the 40 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents

Zhanbo Hua, Yifan Yao, Weihao Xie +14

While recent LLM-based terminal agents have demonstrated promising capabilities, the scarcity of high-quality, executable training data remains a critical bottleneck. Existing synt…

cs.AI2025

OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs

Caorui Li, Yu Chen, Yiyan Ji +40

Recent advances in multimodal large language models (MLLMs) have demonstrated substantial potential in video understanding. However, existing benchmarks fail to comprehensively eva…

cs.AI2025

Neurosymbolic Feature Extraction for Identifying Forced Labor in Supply Chains

Zili Wang, Frank Montabon, Kristin Yvonne Rozier

Supply chain networks are complex systems that are challenging to analyze; this problem is exacerbated when there are illicit activities involved in the supply chain, such as count…

cs.AI2024★ 1 cited

Post-hoc Reward Calibration: A Case Study on Length Bias

Zeyu Huang, Zihan Qiu, Zili Wang +2

Reinforcement Learning from Human Feedback aligns the outputs of Large Language Models with human values and preferences. Central to this process is the reward model (RM), which tr…

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