activity
20192026
most citedDeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM

19 citations · 31 across the 11 of their papers we have counts for

collaborators

11 papers

cs.AI2026

Conversation Coach: A Voice-enabled AI System that Helps Practice Difficult Workplace Conversations

Fanyou Wu, Suraj Maharjan, Ainur Yessenalina +3

Effective manager-employee communication is critical for retaining high performers and developing underperformers, yet training managers in these skills remains costly. Text-based…

cs.CL2025

FalseReject: A Resource for Improving Contextual Safety and Mitigating Over-Refusals in LLMs via Structured Reasoning

Zhehao Zhang, Weijie Xu, Fanyou Wu +1

Safety alignment approaches in large language models (LLMs) often lead to the over-refusal of benign queries, significantly diminishing their utility in sensitive scenarios. To add…

cs.CL2024★ 1 cited

HR-Agent: A Task-Oriented Dialogue (TOD) LLM Agent Tailored for HR Applications

Weijie Xu, Jay Desai, Fanyou Wu +2

Recent LLM (Large Language Models) advancements benefit many fields such as education and finance, but HR has hundreds of repetitive processes, such as access requests, medical cla…

cs.CL2024

Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation

Fanyou Wu, Weijie Xu, Chandan K. Reddy +1

In this study, we tackle the challenge of inadequate and costly training data that has hindered the development of conversational question answering (ConvQA) systems. Enterprises h…

cs.CL2024★ 1 cited

PHAnToM: Persona-based Prompting Has An Effect on Theory-of-Mind Reasoning in Large Language Models

Fiona Anting Tan, Gerard Christopher Yeo, Kokil Jaidka +6

The use of LLMs in natural language reasoning has shown mixed results, sometimes rivaling or even surpassing human performance in simpler classification tasks while struggling with…

cs.CL2023

Sequence-Level Certainty Reduces Hallucination In Knowledge-Grounded Dialogue Generation

Yixin Wan, Fanyou Wu, Weijie Xu +1

In this work, we propose sequence-level certainty as a common theme over hallucination in Knowledge Grounded Dialogue Generation (KGDG). We explore the correlation between the leve…

cs.CL2023★ 19 cited

DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM

Weijie Xu, Wenxiang Hu, Fanyou Wu +1

In the burgeoning field of natural language processing (NLP), Neural Topic Models (NTMs) , Large Language Models (LLMs) and Diffusion model have emerged as areas of significant res…

cs.IR2022★ 1 cited

Some Practice for Improving the Search Results of E-commerce

Fanyou Wu, Yang Liu, Rado Gazo +2

In the Amazon KDD Cup 2022, we aim to apply natural language processing methods to improve the quality of search results that can significantly enhance user experience and engageme…

cs.LG2020★ 1 cited

TLab: Traffic Map Movie Forecasting Based on HR-NET

Fanyou Wu, Yang Liu, Zhiyuan Liu +3

The problem of the effective prediction for large-scale spatio-temporal traffic data has long haunted researchers in the field of intelligent transportation. Limited by the quantit…

cs.LG2019★ 4 cited

Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution

Yang Liu, Fanyou Wu, Baosheng Yu +2

How to build an effective large-scale traffic state prediction system is a challenging but highly valuable problem. This study focuses on the construction of an effective solution…

cs.LG2019★ 4 cited

Efficient Project Gradient Descent for Ensemble Adversarial Attack

Fanyou Wu, Rado Gazo, Eva Haviarova +1

Recent advances show that deep neural networks are not robust to deliberately crafted adversarial examples which many are generated by adding human imperceptible perturbation to cl…