1 citations · 1 across the 19 of their papers we have counts for
19 papers
FinAcumen: Financial Multimodal Reasoning via Self-Evolving Experience Memory Harness
Pianran Guo, Pengcheng Zhou, Yucheng Jian +3
Financial multimodal reasoning requires agents to coordinate numerical computation, retrieval, visual interpretation, and temporal grounding across heterogeneous evidence sources.…
MaskClaw: Edge-Side Personalized Privacy Arbitration for GUI Agents with Behavior-Driven Skill Evolution
Yanqiu Zhao, Dongying Zheng, Kaibo Huang +3
GUI agents rely on screenshots to infer intent and operate across applications, but these screenshots often contain private messages, medical records, payment credentials, and work…
DASM: Domain-Aware Sharpness Minimization for Multi-Domain Voice Stream Steganalysis
Pengcheng Zhou, Pianran Guo, Shuhua Chen +3
The growing use of information hiding in network streaming media for covert communication poses a significant security threat, necessitating the development of robust detection tec…
OracleProto: A Reproducible Framework for Benchmarking LLM Forecasting via Knowledge Cutoffs and Temporal Masking
Yiding Ma, Chengyun Ruan, Kaibo Huang +3
Forecasting is a composite capability encompassing information gathering, evidence integration, situational assessment, and decision-making. Large language models (LLMs) combine re…
ACF: A Collaborative Framework for Agent Covert Communication under Cognitive Asymmetry
Wansheng Wu, Kaibo Huang, Yukun Wei +2
As generative artificial intelligence evolves, autonomous agent networks present a powerful paradigm for interactive covert communication. However, because agents dynamically updat…
FactorEngine: A Program-level Knowledge-Infused Factor Mining Framework for Quantitative Investment
Qinhong Lin, Ruitao Feng, Yinglun Feng +7
We study alpha factor mining, the automated discovery of predictive signals from noisy, non-stationary market data-under a practical requirement that mined factors be directly exec…
EvoCorps: An Evolutionary Multi-Agent Framework for Depolarizing Online Discourse
Ning Lin, Haolun Li, Mingshu Liu +5
Polarization in online discourse erodes social trust and accelerates misinformation, yet technical responses remain largely diagnostic and post-hoc. Current governance approaches s…
AgentMark: Utility-Preserving Behavioral Watermarking for Agents
Kaibo Huang, Jin Tan, Yukun Wei +5
LLM-based agents are increasingly deployed to autonomously solve complex tasks, raising urgent needs for IP protection and regulatory provenance. While content watermarking effecti…
Robust Uncertainty Quantification for Factual Generation of Large Language Models
Yuhao Zhang, Zhongliang Yang, Linna Zhou
The rapid advancement of large language model(LLM) technology has facilitated its integration into various domains of professional and daily life. However, the persistent challenge…
CreditXAI: A Multi-Agent System for Explainable Corporate Credit Rating
Yumeng Shi, Zhongliang Yang, Yisi Wang +1
In the domain of corporate credit rating, traditional deep learning methods have improved predictive accuracy but still suffer from the inherent 'black-box' problem and limited int…
LLM as Attention-Informed NTM and Topic Modeling as long-input Generation: Interpretability and long-Context Capability
Xuan Xu, Zhongliang Yang, Haolun Li +5
Topic modeling aims to produce interpretable topic representations and topic--document correspondences from corpora, but classical neural topic models (NTMs) remain constrained by…
FinCPRG: A Bidirectional Generation Pipeline for Hierarchical Queries and Rich Relevance in Financial Chinese Passage Retrieval
Xuan Xu, Beilin Chu, Qinhong Lin +7
In recent years, large language models (LLMs) have demonstrated significant potential in constructing passage retrieval datasets. However, existing methods still face limitations i…
CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration
Yumeng Shi, Zhongliang Yang, DiYang Lu +3
Corporate credit rating serves as a crucial intermediary service in the market economy, playing a key role in maintaining economic order. Existing credit rating models rely on fina…
Whispering Agents: An Event-driven Covert Communication Protocol For the Internet of Agents
Kaibo Huang, Yukun Wei, Wansheng Wu +3
The emergence of the Internet of Agents (IoA) introduces critical challenges for communication privacy in sensitive, high-stakes domains. While standard Agent-to-Agent (A2A) protoc…
FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models
Xuan Xu, Fufang Wen, Beilin Chu +7
In natural language processing (NLP), the focus has shifted from encoder-only tiny language models like BERT to decoder-only large language models(LLMs) such as GPT-3. However, LLM…
GSDFuse: Capturing Cognitive Inconsistencies from Multi-Dimensional Weak Signals in Social Media Steganalysis
Kaibo Huang, Zipei Zhang, Yukun Wei +3
The ubiquity of social media platforms facilitates malicious linguistic steganography, posing significant security risks. Steganalysis is profoundly hindered by the challenge of id…
Agent Guide: A Simple Agent Behavioral Watermarking Framework
Kaibo Huang, Zipei Zhang, Zhongliang Yang +1
The increasing deployment of intelligent agents in digital ecosystems, such as social media platforms, has raised significant concerns about traceability and accountability, partic…
Label-Confidence-Aware Uncertainty Estimation in Natural Language Generation
Qinhong Lin, Linna Zhou, Yinglun Feng +3
Large Language Models (LLMs) demonstrate remarkable capabilities in generative tasks but pose potential risks due to their tendency to generate hallucinatory responses. Therefore,…
Efficient Streaming Voice Steganalysis in Challenging Detection Scenarios
Pengcheng Zhou, Zhengyang Fang, Zhongliang Yang +2
In recent years, there has been an increasing number of information hiding techniques based on network streaming media, focusing on how to covertly and efficiently embed secret inf…