4 citations · 10 across the 10 of their papers we have counts for
10 papers
HappyWorld-Bench
Zhiqi Bai, Junai Cai, Yixin Chen +33
Evaluating world models requires assessing both the quality of the worlds they generate and their consistency and responsiveness under exploration, interaction, and modification. W…
IVCR-200K: A Large-Scale Multi-turn Dialogue Benchmark for Interactive Video Corpus Retrieval
Ning Han, Yawen Zeng, Shaohua Long +5
In recent years, significant developments have been made in both video retrieval and video moment retrieval tasks, which respectively retrieve complete videos or moments for a give…
Profit Mirage: Revisiting Information Leakage in LLM-based Financial Agents
Xiangyu Li, Yawen Zeng, Xiaofen Xing +2
LLM-based financial agents have attracted widespread excitement for their ability to trade like human experts. However, most systems exhibit a "profit mirage": dazzling back-tested…
QuantAgents: Towards Multi-agent Financial System via Simulated Trading
Xiangyu Li, Yawen Zeng, Xiaofen Xing +2
In this paper, our objective is to develop a multi-agent financial system that incorporates simulated trading, a technique extensively utilized by financial professionals. While cu…
Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation
Shouxing Ma, Yawen Zeng, Shiqing Wu +1
Multi-modal recommender system focuses on utilizing rich modal information ( i.e., images and textual descriptions) of items to improve recommendation performance. The current meth…
MVISU-Bench: Benchmarking Mobile Agents for Real-World Tasks by Multi-App, Vague, Interactive, Single-App and Unethical Instructions
Zeyu Huang, Juyuan Wang, Longfeng Chen +4
Given the significant advances in Large Vision Language Models (LVLMs) in reasoning and visual understanding, mobile agents are rapidly emerging to meet users' automation needs. Ho…
HedgeAgents: A Balanced-aware Multi-agent Financial Trading System
Xiangyu Li, Yawen Zeng, Xiaofen Xing +2
As automated trading gains traction in the financial market, algorithmic investment strategies are increasingly prominent. While Large Language Models (LLMs) and Agent-based models…
RTBAgent: A LLM-based Agent System for Real-Time Bidding
Leng Cai, Junxuan He, Yikai Li +5
Real-Time Bidding (RTB) enables advertisers to place competitive bids on impression opportunities instantaneously, striving for cost-effectiveness in a highly competitive landscape…
VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Tool
Yan Wang, Yawen Zeng, Jingsheng Zheng +3
Multimodal large language models (MLLMs) are flourishing, but mainly focus on images with less attention than videos, especially in sub-fields such as prompt engineering, video cha…
FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model
Xiangyu Li, Xinjie Shen, Yawen Zeng +2
The task of stock earnings forecasting has received considerable attention due to the demand investors in real-world scenarios. However, compared with financial institutions, it is…