Large language models show impressive results on few-shot NLP tasks. How...
Lifelogs are descriptions of experiences that a person had during their ...
Hate speech detection is complex; it relies on commonsense reasoning,
kn...
Evaluating an explanation's faithfulness is desired for many reasons suc...
Policy Compliance Detection (PCD) is a task we encounter when reasoning ...
Current methods for few-shot fine-tuning of pretrained masked language m...
An extractive rationale explains a language model's (LM's) prediction on...
Conventional fine-tuning of pre-trained language models tunes all model
...
Spoken language understanding (SLU) systems in conversational AI agents ...
Query rewriting (QR) is an increasingly important technique to reduce
cu...
Dealing with previously unseen slots is a challenging problem in a real-...
In a spoken dialogue system, dialogue state tracker (DST) components tra...
Tracking the state of the conversation is a central component in
task-or...
We present a novel approach to dialogue state tracking and referring
exp...
In the slot-filling paradigm, where a user can refer back to slots in th...
In the slot-filling paradigm, where a user can refer back to slots in th...
The goal of semantic parsing is to map natural language to a machine
int...