1 citations · 3 across the 9 of their papers we have counts for
9 papers
FinRiskAtlas: Decision-Aligned Evaluation of Large Language Models for Financial Risk Review
Suyang Zhong, Jingzhe Zhu, Qi Xu +5
Deploying large language models for professional financial review requires more than measuring general financial competence: models must perform the specific review operation requi…
Watch, Remember, Reason: Human-View Video Understanding with MLLMs
Jiahao Meng, Yue Tan, Qi Xu +12
Video understanding is being rapidly transformed by multimodal large language models (MLLMs), as research moves from short clips to long, multimodal, and knowledge-intensive video…
AgentGate: A Lightweight Structured Routing Engine for the Internet of Agents
Yujun Cheng, Enfang Cui, Hao Qin +2
The rapid development of AI agent systems is leading to an emerging Internet of Agents, where specialized agents operate across local devices, edge nodes, private services, and clo…
VideoZeroBench: Probing the Limits of Video MLLMs with Spatio-Temporal Evidence Verification
Jiahao Meng, Yue Tan, Tan Yue +10
Video multimodal large language models achieve strong results on existing benchmarks, but answer accuracy alone does not establish whether they can locate the evidence needed to an…
HiCI: Hierarchical Construction-Integration for Long-Context Attention
Xiangyu Zeng, Qi Xu, Yunke Wang +1
Long-context language modeling is commonly framed as a scalability challenge of token-level attention, yet local-to-global information structuring remains largely implicit in exist…
Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models
Wei Wang, Zhaowei Li, Qi Xu +7
Multi-modal large language models (MLLMs) have achieved remarkable success in fine-grained visual understanding across a range of tasks. However, they often encounter significant c…
UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model
Zhaowei Li, Wei Wang, YiQing Cai +7
Significant advancements has recently been achieved in the field of multi-modal large language models (MLLMs), demonstrating their remarkable capabilities in understanding and reas…
QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models
Wei Wang, Zhaowei Li, Qi Xu +7
The deployment of large language models (LLMs) faces considerable challenges concerning resource constraints and inference efficiency. Recent research has increasingly focused on s…
GroundingGPT:Language Enhanced Multi-modal Grounding Model
Zhaowei Li, Qi Xu, Dong Zhang +9
Multi-modal large language models have demonstrated impressive performance across various tasks in different modalities. However, existing multi-modal models primarily emphasize ca…