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Yixin Mao

3 accepted papers

2026

DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and Evidence

ICLR 2026poster

Generative search engines and deep research LLM agents promise trustworthy, source-grounded synthesis, yet users regularly encounter overconfidence, weak sourcing, and confusing citation practices. We introduce DeepTRACE, a novel sociotechnically grounded audit framework that turns prior community-i…

Cited by 0SourceScholar
2025

BingoGuard: LLM Content Moderation Tools with Risk Levels

ICLR 2025poster

Malicious content generated by large language models (LLMs) can pose varying degrees of harm. Although existing LLM-based moderators can detect harmful content, they struggle to assess risk levels and may miss lower-risk outputs. Accurate risk assessment allows platforms with different safety thre…

Cited by 1SourcePDFScholar
2025

CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments

NAACL 2025long

Customer Relationship Management (CRM) systems are vital for modern enterprises, providing a foundation for managing customer interactions and data. Integrating AI agents into CRM systems can automate routine processes and enhance personalized service. However, deploying and evaluating these agents…