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researcher

Chi Zhang

10 papers hereh-index 590 citations12 works total

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

author position
  • middle author7
  • last author3

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

fields
  • cs.CV8
  • cs.AI1
  • cs.CL1
same name
  • Chi Zhang — 39 papers, h 20
  • Chi Zhang — 32 papers, h 22
  • Chi Zhang — 26 papers, h 5
  • Chi Zhang — 26 papers, h 4
  • Chi Zhang — 21 papers, h 19
  • Chi Zhang — 20 papers, h 6

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 citedLever LM: Configuring In-Context Sequence to Lever Large Vision Language Models

2 citations · 2 across the 9 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Instruction-based Image Editing: A Survey on Data, Models, Evaluation, and Applications

Xianghao Zang, Zijian Jiang, Jiarong Cheng +8

Instruction-based Image Editing (IIE) aims to transform a given image into a new one based on textual instructions. Advances in Large Language Models (LLMs) and Vision-Language Mod…

cs.CV2026

SwitchCraft: Training-Free Multi-Event Video Generation with Attention Controls

Qianxun Xu, Chenxi Song, Yujun Cai +1

Recent advances in text-to-video diffusion models have enabled high-fidelity and temporally coherent videos synthesis. However, current models are predominantly optimized for singl…

cs.AI2026

Human or Machine? A Preliminary Turing Test for Speech-to-Speech Interaction

Xiang Li, Jiabao Gao, Sipei Lin +5

The pursuit of human-like conversational agents has long been guided by the Turing test. For modern speech-to-speech (S2S) systems, a critical yet unanswered question is whether th…

cs.CL2026

DRIFT: Detecting Representational Inconsistencies for Factual Truthfulness

Rohan Bhatnagar, Youran Sun, Chi Andrew Zhang +2

LLMs often produce fluent but incorrect answers, yet detecting such hallucinations typically requires multiple sampling passes or post-hoc verification, adding significant latency…

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