23 citations · 54 across the 12 of their papers we have counts for
12 papers
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…
Amory: Building Coherent Narrative-Driven Agent Memory through Agentic Reasoning
Yue Zhou, Xiaobo Guo, Belhassen Bayar +1
Long-term conversational agents face a fundamental scalability challenge as interactions extend over time: repeatedly processing entire conversation histories becomes computational…
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…
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…
LOLAMEME: Logic, Language, Memory, Mechanistic Framework
Jay Desai, Xiaobo Guo, Srinivasan H. Sengamedu
The performance of Large Language Models has achieved superhuman breadth with unprecedented depth. At the same time, the language models are mostly black box models and the underly…
JADS: A Framework for Self-supervised Joint Aspect Discovery and Summarization
Xiaobo Guo, Jay Desai, Srinivasan H. Sengamedu
To generate summaries that include multiple aspects or topics for text documents, most approaches use clustering or topic modeling to group relevant sentences and then generate a s…
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
Xi Fang, Weijie Xu, Fiona Anting Tan +7
Recent breakthroughs in large language modeling have facilitated rigorous exploration of their application in diverse tasks related to tabular data modeling, such as prediction, ta…
HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM Agent
Weijie Xu, Zicheng Huang, Wenxiang Hu +5
Recent advancements in Large Language Models (LLMs) have been reshaping Natural Language Processing (NLP) task in several domains. Their use in the field of Human Resources (HR) ha…
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…
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…
S2vNTM: Semi-supervised vMF Neural Topic Modeling
Weijie Xu, Jay Desai, Srinivasan Sengamedu +2
Language model based methods are powerful techniques for text classification. However, the models have several shortcomings. (1) It is difficult to integrate human knowledge such a…
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport
Weijie Xu, Xiaoyu Jiang, Srinivasan H. Sengamedu +2
Recently, Neural Topic Models (NTM), inspired by variational autoencoders, have attracted a lot of research interest; however, these methods have limited applications in the real w…