activity
20192026
most citedDualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue

8 citations · 8 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CL2026

SpanUQ: Span-Level Uncertainty Quantification for Large Language Model Generation

Yimeng Zhang, Yingying Zhuang, Ziyi Wang +12

Uncertainty estimation is essential not only for the trustworthy deployment of large language models (LLMs) but also as a foundation for self-refinement in LLM generation. However,…

cs.IR2025

Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platforms

Yushang Zhao, Yike Peng, Li Zhang +3

With the rapid expansion of user bases on short video platforms, personalized recommendation systems are playing an increasingly critical role in enhancing user experience and opti…

cs.CL2025

ParlAI Vote: A Web Platform for Analyzing Gender and Political Bias in Large Language Models

Wenjie Lin, Hange Liu, Yingying Zhuang +5

We present ParlAI Vote, an interactive web platform for exploring European Parliament debates and votes, and for testing LLMs on vote prediction and bias analysis. This web system…

cs.CL2025

How and Where to Translate? The Impact of Translation Strategies in Cross-lingual LLM Prompting

Aman Gupta, Yingying Zhuang, Zhou Yu +2

Despite advances in the multilingual capabilities of Large Language Models (LLMs), their performance varies substantially across different languages and tasks. In multilingual retr…

cs.CL2025

Multilingual Information Retrieval with a Monolingual Knowledge Base

Yingying Zhuang, Aman Gupta, Anurag Beniwal

Multilingual information retrieval has emerged as powerful tools for expanding knowledge sharing across languages. On the other hand, resources on high quality knowledge base are o…

cs.CL2025

REIC: RAG-Enhanced Intent Classification at Scale

Ziji Zhang, Michael Yang, Zhiyu Chen +6

Accurate intent classification is critical for efficient routing in customer service, ensuring customers are connected with the most suitable agents while reducing handling times a…