activity
20202026
most citedULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding

15 citations · 44 across the 19 of their papers we have counts for

collaborators
Showing 2025Show all

13 papers · 1 filter

cs.CV2025

Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding

Ziyang Wang, Honglu Zhou, Shijie Wang +6

Long video understanding (LVU) is challenging because answering real-world queries often depends on sparse, temporally dispersed cues buried in hours of mostly redundant and irrele…

cs.LG2025★ 2 cited

Moirai 2.0: When Less Is More for Time Series Forecasting

Chenghao Liu, Taha Aksu, Juncheng Liu +7

We introduce Moirai 2.0, a decoder-only time-series foundation model trained on a new corpus of 36M series. The model adopts quantile forecasting and multi-token prediction, improv…

cs.CV2025

BLIP3o-NEXT: Next Frontier of Native Image Generation

Jiuhai Chen, Le Xue, Zhiyang Xu +12

We present BLIP3o-NEXT, a fully open-source foundation model in the BLIP3 series that advances the next frontier of native image generation. BLIP3o-NEXT unifies text-to-image gener…

cs.CV2025

WALT: Web Agents that Learn Tools

Viraj Prabhu, Yutong Dai, Matthew Fernandez +8

Web agents promise to automate complex browser tasks, but current methods remain brittle -- relying on step-by-step UI interactions and heavy LLM reasoning that break under dynamic…

cs.AI2025★ 3 cited

MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Ziyang Luo, Zhiqi Shen, Wenzhuo Yang +7

The Model Context Protocol has emerged as a transformative standard for connecting large language models to external data sources and tools, rapidly gaining adoption across major A…

cs.CL2025

CoAct-1: Computer-using Multi-Agent System with Coding Actions

Linxin Song, Yutong Dai, Viraj Prabhu +9

Autonomous agents that operate computers via Graphical User Interfaces (GUIs) often struggle with efficiency and reliability on complex, long-horizon tasks. While augmenting these…