activity
20232026
most citedERNIE 5.0 Technical Report

2 citations · 5 across the 18 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

cs.AI2026

Do Agent Benchmarks Measure Capability? Protocol Validity in the Age of Agentic AI

Jiaqi Shao, Hanck Chen, Wei Zhang +2

Agent benchmarks increasingly evaluate repository editing, web research, terminal use, and long-horizon interaction. Their scores support capability claims only when the evaluation…

cs.LG2026

Stochastic Reset Pathfinding: Path-Level Regret for Cascading Bandits over Graph Paths

Guni Sharon, Wei Zhang

We introduce Stochastic Reset Pathfinding (SRP), an episodic learning problem on a known directed graph with unknown stationary edge success probabilities. In each episode, the age…

cs.CL2026★ 2 cited

ERNIE 5.0 Technical Report

Haifeng Wang, Hua Wu, Tian Wu +432

In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…

cs.CV2026

PhoStream: Benchmarking Real-World Streaming for Omnimodal Assistants in Mobile Scenarios

Xudong Lu, Huankang Guan, Yang Bo +10

Multimodal Large Language Models excel at offline audio-visual understanding, but their ability to serve as mobile assistants in continuous real-world streams remains underexplored…

cs.CV2026

JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation

Kai Liu, Jungang Li, Yuchong Sun +13

This paper presents JavisGPT, the first unified multimodal large language model (MLLM) for joint audio-video (JAV) comprehension and generation. JavisGPT has a concise encoder-LLM-…