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Zichen Zhang

12 papers hereh-index 6704 citations21 works total

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

author position
  • first author3
  • middle author7

Across the 10 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.AI3
  • cs.CL2
  • cs.RO1
  • cs.SE1
  • stat.ML1
same name
  • Zichen Zhang — 7 papers, h 5
  • Zichen Zhang — 6 papers
  • Zichen Zhang — 3 papers
  • Zichen Zhang — 3 papers, h 1
  • Zichen Zhang — 2 papers, h 0
  • Zichen Zhang — 2 papers, h 3

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
20222026
most citedGLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

4 citations · 11 across the 11 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.SE2025

Prompt Less, Smile More: MTP with Semantic Engineering in Lieu of Prompt Engineering

Jayanaka L. Dantanarayana, Savini Kashmira, Thakee Nathees +4

AI-Integrated programming is emerging as a foundational paradigm for building intelligent systems with large language models (LLMs). Recent approaches such as Meaning Typed Program…

cs.CV2025

A Comprehensive Evaluation of Transformer-Based Question Answering Models and RAG-Enhanced Design

Zichen Zhang, Kunlong Zhang, Hongwei Ruan +1

Transformer-based models have advanced the field of question answering, but multi-hop reasoning, where answers require combining evidence across multiple passages, remains difficul…

cs.CL2025★ 4 cited

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

5 Team, Aohan Zeng, Xin Lv +167

We present GLM-4.5, an open-source Mixture-of-Experts (MoE) large language model with 355B total parameters and 32B activated parameters, featuring a hybrid reasoning method that s…

cs.RO2025

Towards Embodiment Scaling Laws in Robot Locomotion

Bo Ai, Liu Dai, Nico Bohlinger +7

Cross-embodiment generalization underpins the vision of building generalist embodied agents for any robot, yet its enabling factors remain poorly understood. We investigate embodim…

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