5 citations · 10 across the 9 of their papers we have counts for
9 papers
Extracting Training Dialogue Data from Large Language Model based Task Bots
Shuo Zhang, Junzhou Zhao, Junji Hou +3
Large Language Models (LLMs) have been widely adopted to enhance Task-Oriented Dialogue Systems (TODS) by modeling complex language patterns and delivering contextually appropriate…
A Theoretical Analysis of Detecting Large Model-Generated Time Series
Junji Hou, Junzhou Zhao, Shuo Zhang +1
Motivated by the increasing risks of data misuse and fabrication, we investigate the problem of identifying synthetic time series generated by Time-Series Large Models (TSLMs) in t…
Representation Learning of Tangled Key-Value Sequence Data for Early Classification
Tao Duan, Junzhou Zhao, Shuo Zhang +2
Key-value sequence data has become ubiquitous and naturally appears in a variety of real-world applications, ranging from the user-product purchasing sequences in e-commerce, to ne…
Healing Unsafe Dialogue Responses with Weak Supervision Signals
Zi Liang, Pinghui Wang, Ruofei Zhang +3
Recent years have seen increasing concerns about the unsafe response generation of large-scale dialogue systems, where agents will learn offensive or biased behaviors from the real…
MERGE: Fast Private Text Generation
Zi Liang, Pinghui Wang, Ruofei Zhang +3
The drastic increase in language models' parameters has led to a new trend of deploying models in cloud servers, raising growing concerns about private inference for Transformer-ba…
The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
Shuo Zhang, Liangming Pan, Junzhou Zhao +1
Large language models often necessitate grounding on external knowledge to generate faithful and reliable answers. Yet even with the correct groundings in the reference, they can i…
Multi-Action Dialog Policy Learning from Logged User Feedback
Shuo Zhang, Junzhou Zhao, Pinghui Wang +5
Multi-action dialog policy, which generates multiple atomic dialog actions per turn, has been widely applied in task-oriented dialog systems to provide expressive and efficient sys…
"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs
Shuo Zhang, Junzhou Zhao, Pinghui Wang +3
Multi-action dialog policy (MADP), which generates multiple atomic dialog actions per turn, has been widely applied in task-oriented dialog systems to provide expressive and effici…
Learning to Check Contract Inconsistencies
Shuo Zhang, Junzhou Zhao, Pinghui Wang +5
Contract consistency is important in ensuring the legal validity of the contract. In many scenarios, a contract is written by filling the blanks in a precompiled form. Due to carel…