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Yu Zhang

4 papers hereh-index 4275 citations8 works total

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

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.AI1
  • cs.CL1
same name
  • Yu Zhang — 91 papers, h 38
  • Yu Zhang — 52 papers, h 51
  • Yu Zhang — 27 papers
  • Yu Zhang — 25 papers, h 27
  • Yu Zhang — 24 papers, h 9
  • Yu Zhang — 22 papers, h 18

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

4 papers

cs.AI2026

A Deterministic Agentic Workflow for HS Tariff Classification: Multi-Dimensional Rule Reasoning with Interpretable Decisions

Yu Zhang, Dongjiang Zhuang, Qu Zhou +4

Harmonized System (HS) tariff classification is a high-stakes, expert-level task in which a free-form product description must be mapped to a specific six- or eight-digit code unde…

cs.CV2025

Reasoning-Aligned Perception Decoupling for Scalable Multi-modal Reasoning

Yunhao Gou, Kai Chen, Zhili Liu +5

Recent breakthroughs in reasoning language models have significantly advanced text-based reasoning. On the other hand, Multi-modal Large Language Models (MLLMs) still lag behind, h…

cs.CV2025

Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning

Yunhao Gou, Hansi Yang, Zhili Liu +8

Visual Instruction Tuning (VIT) aims to enhance Multimodal Large Language Models (MLLMs), yet its effectiveness is often compromised by corrupted datasets with issues such as hallu…

cs.CL2024

Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment

Zhili Liu, Yunhao Gou, Kai Chen +8

As the capabilities of large language models (LLMs) continue to expand, aligning these models with human values remains a significant challenge. Recent studies show that reasoning…

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