papers

Publications (6)

cs.CV2026

InterEdit: Navigating Text-Guided 3D Dyadic Human Motion Editing

Yebin Yang, Di Wen, Lei Qi +10

Text-guided 3D motion editing has seen success in single-person scenarios, but its extension to multi-person settings is less explored due to limited paired data and the complexity…

cs.IR2025

Xinyu AI Search: Enhanced Relevance and Comprehensive Results with Rich Answer Presentations

Bo Tang, Junyi Zhu, Chenyang Xi +15

Traditional search engines struggle to synthesize fragmented information for complex queries, while generative AI search engines face challenges in relevance, comprehensiveness, an…

cs.CV2024

FTII-Bench: A Comprehensive Multimodal Benchmark for Flow Text with Image Insertion

Jiacheng Ruan, Yebin Yang, Zehao Lin +4

Benefiting from the revolutionary advances in large language models (LLMs) and foundational vision models, large vision-language models (LVLMs) have also made significant progress.…

cs.CL2025

SurveyX: Academic Survey Automation via Large Language Models

Xun Liang, Jiawei Yang, Yezhaohui Wang +11

Large Language Models (LLMs) have demonstrated exceptional comprehension capabilities and a vast knowledge base, suggesting that LLMs can serve as efficient tools for automated sur…

cs.LG2026

JTok: On Token Embedding as another Axis of Scaling Law via Joint Token Self-modulation

Yebin Yang, Huaijin Wu, Fu Guo +5

LLMs have traditionally scaled along dense dimensions, where performance is coupled with near-linear increases in computational cost. While MoE decouples capacity from compute, it…

cs.LG2026

xHC: Expanded Hyper-Connections

Xiangdong Zhang, Xiaohan Qin, Sunan Zou +10

The paper introduces xHC, a method that expands the residual stream of Transformers to many parallel streams using temporal feature augmentation and a sparse update scheme, enablin…

#transformer architectures#residual stream expansion#large language models#efficient training