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Xingchen Liu

11 papers hereh-index 476 citations13 works total

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

author position
  • first author1
  • middle author8

Across the 9 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.AI2
  • cs.IR2
  • cs.LG2
  • cs.CL1
  • cs.HC1
same name
  • Xingchen Liu — 5 papers, h 8
  • Xingchen Liu — 4 papers, h 1
  • Xingchen Liu — 3 papers, h 1
  • Xingchen Liu — 2 papers, h 6
  • Xingchen Liu — 2 papers, h 2
  • Xingchen Liu — 1 paper, h 0

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

works on
large language models 3autonomous agents 1benchmarking 1contrastive learning 1feedback-driven policy discovery 1generative recommendation 1intent modeling 1knowledge distillation 1long-horizon reasoning 1multi-step reasoning 1online inference 1process evaluation 1

From the 3 of 11 linked papers with an AI index.

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2025

VisuRiddles: Fine-grained Perception is a Primary Bottleneck for Multimodal Large Language Models in Abstract Visual Reasoning

Hao Yan, Xingchen Liu, Hao Wang +11

Recent strides in multimodal large language models (MLLMs) have significantly advanced their performance in many reasoning tasks. However, Abstract Visual Reasoning (AVR) remains a…

cs.CV2025

TASTE-Rob: Advancing Video Generation of Task-Oriented Hand-Object Interaction for Generalizable Robotic Manipulation

Hongxiang Zhao, Xingchen Liu, Mutian Xu +3

We address key limitations in existing datasets and models for task-oriented hand-object interaction video generation, a critical approach of generating video demonstrations for ro…

cs.CV2025

UnCommon Objects in 3D

Xingchen Liu, Piyush Tayal, Jianyuan Wang +10

We introduce Uncommon Objects in 3D (uCO3D), a new object-centric dataset for 3D deep learning and 3D generative AI. uCO3D is the largest publicly-available collection of high-reso…

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