We present Virtual Prompt Injection (VPI) for instruction-tuned Large
La...
While instruction-tuned models have shown remarkable success in various
...
Large language models (LLMs) obtain instruction-following capability thr...
Answering complex questions often requires reasoning over knowledge grap...
Large language models (LLMs) demonstrate remarkable medical expertise, b...
Integrating free-text explanations to in-context learning of large langu...
Building dialogue systems requires a large corpus of annotated dialogues...
With the recent advance in large pre-trained language models, researcher...
Recent work has shown that large pretrained Language Models (LMs) can no...
Task-adaptive pre-training (TAPT) and Self-training (ST) have emerged as...
Dialogue state trackers have made significant progress on benchmark data...
Recently, pretrained language models (e.g., BERT) have achieved great su...
The problem of verifying whether a textual hypothesis holds the truth ba...
Time series forecasting is an important problem across many domains,
inc...
Asynchronous momentum stochastic gradient descent algorithms (Async-MSGD...