collaborators

8 papers

cs.LG2026

Exact Risk Certificates for Pairwise-Judged Reranking

Xinyu Wang, Jingrui Tian, Sicheng Lyu +4

Pairwise relevance judgments constrain both the loss numerator and the ideal-ranking denominator of nDCG. We characterize the exact worst-case loss of replacing a ranking with a fi…

cs.LG2026

Measuring the Task Value of Precision Upgrades in Closed-Loop Agents

Sicheng Lyu, Xinyu Wang, Yu Gu +3

A low-precision agent can call its full-precision (BF16) model at selected decisions as a fallback. A learned precision router chooses where to call it from the disagreement betwee…

cs.CL2025

: A Route-to-Rerank Post-Training Framework for Multi-Domain Decoder-Only Rerankers

Xinyu Wang, Hanwei Wu, Qingchen Hu +13

Decoder-only rerankers are central to Retrieval-Augmented Generation (RAG). However, generalist models miss domain-specific nuances in high-stakes fields like finance and law, and…

cs.IR2025

VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering

Zhenghan Tai, Hanwei Wu, Qingchen Hu +24

Retrieval-Augmented Generation (RAG) is becoming increasingly essential for Question Answering (QA) in the financial sector, where accurate and contextually grounded insights from…

cs.CL2025

Improving Context Fidelity via Native Retrieval-Augmented Reasoning

Suyuchen Wang, Jinlin Wang, Xinyu Wang +6

Large language models (LLMs) often struggle with context fidelity, producing inconsistent answers when responding to questions based on provided information. Existing approaches ei…

cs.CL2025

An Entity Linking Agent for Question Answering

Yajie Luo, Yihong Wu, Muzhi Li +5

Some Question Answering (QA) systems rely on knowledge bases (KBs) to provide accurate answers. Entity Linking (EL) plays a critical role in linking natural language mentions to KB…

cs.LG2025

STRICT: Stress Test of Rendering Images Containing Text

Tianyu Zhang, Xinyu Wang, Lu Li +5

While diffusion models have revolutionized text-to-image generation with their ability to synthesize realistic and diverse scenes, they continue to struggle to generate consistent…

cs.IR2025

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering

Xinyu Wang, Jijun Chi, Zhenghan Tai +13

Leveraging large language models in real-world settings often entails a need to utilize domain-specific data and tools in order to follow the complex regulations that need to be fo…