57 citations · 384 across the 43 of their papers we have counts for
12 papers · 1 filter
Delusions of Large Language Models
Hongshen Xu, Zixv yang, Zichen Zhu +7
Large Language Models often generate factually incorrect but plausible outputs, known as hallucinations. We identify a more insidious phenomenon, LLM delusion, defined as high beli…
Evaluation of data inconsistency for multi-modal sentiment analysis
Yufei Wang, Mengyue Wu
Emotion semantic inconsistency is an ubiquitous challenge in multi-modal sentiment analysis (MSA). MSA involves analyzing sentiment expressed across various modalities like text, a…
LLM-empowered Chatbots for Psychiatrist and Patient Simulation: Application and Evaluation
Siyuan Chen, Mengyue Wu, Kenny Q. Zhu +3
Empowering chatbots in the field of mental health is receiving increasing amount of attention, while there still lacks exploration in developing and evaluating chatbots in psychiat…
Semantic Space Grounded Weighted Decoding for Multi-Attribute Controllable Dialogue Generation
Zhiling Zhang, Mengyue Wu, Kenny Q. Zhu
Controlling chatbot utterance generation with multiple attributes such as personalities, emotions and dialogue acts is a practically useful but under-studied problem. We propose a…
OPAL: Ontology-Aware Pretrained Language Model for End-to-End Task-Oriented Dialogue
Zhi Chen, Yuncong Liu, Lu Chen +3
This paper presents an ontology-aware pretrained language model (OPAL) for end-to-end task-oriented dialogue (TOD). Unlike chit-chat dialogue models, task-oriented dialogue models…
Symptom Identification for Interpretable Detection of Multiple Mental Disorders
Zhiling Zhang, Siyuan Chen, Mengyue Wu +1
Mental disease detection (MDD) from social media has suffered from poor generalizability and interpretability, due to lack of symptom modeling. This paper introduces PsySym, the fi…
Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression
Zhiling Zhang, Siyuan Chen, Mengyue Wu +1
Depression is a prominent health challenge to the world, and early risk detection (ERD) of depression from online posts can be a promising technique for combating the threat. Early…
Climate and Weather: Inspecting Depression Detection via Emotion Recognition
Wen Wu, Mengyue Wu, Kai Yu
Automatic depression detection has attracted increasing amount of attention but remains a challenging task. Psychological research suggests that depressive mood is closely related…
DFM: Dialogue Foundation Model for Universal Large-Scale Dialogue-Oriented Task Learning
Zhi Chen, Jijia Bao, Lu Chen +10
Building a universal conversational agent has been a long-standing goal of the dialogue research community. Most previous works only focus on a small set of dialogue tasks. In this…
D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat
Binwei Yao, Chao Shi, Likai Zou +5
In a depression-diagnosis-directed clinical session, doctors initiate a conversation with ample emotional support that guides the patients to expose their symptoms based on clinica…
Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL
Zhi Chen, Lu Chen, Hanqi Li +4
Recently, Text-to-SQL for multi-turn dialogue has attracted great interest. Here, the user input of the current turn is parsed into the corresponding SQL query of the appropriate d…
Building Interpretable Interaction Trees for Deep NLP Models
Die Zhang, Huilin Zhou, Hao Zhang +6
This paper proposes a method to disentangle and quantify interactions among words that are encoded inside a DNN for natural language processing. We construct a tree to encode salie…