Interpersonal conflict is an uncomfortable but unavoidable fact of life....
Modern language models often exhibit powerful but brittle behavior, lead...
Every major technical invention resurfaces the dual-use dilemma – the ne...
The emergence of Large Language Models (LLMs) has brought both excitemen...
Instruction tuning unlocks the superior capability of Large Language Mod...
Citing papers is the primary method through which modern scientific writ...
We present NormBank, a knowledge bank of 155k situational norms. This
re...
Social alignment in AI systems aims to ensure that these models behave
a...
Large Language Models, the dominant starting point for Natural Language
...
Traditional neural machine translation (NMT) systems often fail to trans...
Existing large language models (LLMs) that mainly focus on Standard Amer...
Millions of users come to online peer counseling platforms to seek suppo...
Social media (i.e., Reddit) users are overloaded with people's opinions ...
Diffusion models that are based on iterative denoising have been recentl...
The limits of open-ended generative models are unclear, yet increasingly...
Spurred by advancements in scale, large language models (LLMs) have
demo...
Text-to-image models, which can generate high-quality images based on te...
Parameter-efficient fine-tuning aims to achieve performance comparable t...
Abstractive dialogue summarization has received increasing attention
rec...
Persuasion modeling is a key building block for conversational agents.
E...
Generating a chain of thought (CoT) can increase large language model (L...
Modern virtual assistants use internal semantic parsing engines to conve...
Dialect differences caused by regional, social, and economic barriers ca...
Recently, large-scale pre-trained Vision-and-Language (VL) foundation mo...
Millions of people participate in online peer-to-peer support sessions, ...
Pre-trained language models have shown impressive performance on a varie...
In a fair world, people have equitable opportunities to education, to co...
Demonstration-based learning has shown great potential in stimulating
pr...
Multilingual transformer-based models demonstrate remarkable zero and
fe...
This paper proposes a simple yet effective interpolation-based data
augm...
We address the problem of retrieving images with both a sketch and a tex...
Recent research showed promising results on combining pretrained languag...
Data augmentation is an effective approach to tackle over-fitting. Many
...
Although sequence-to-sequence models often achieve good performance in
s...
Since the COVID-19 pandemic, businesses have faced unprecedented challen...
English Natural Language Understanding (NLU) systems have achieved great...
Conversational agents have come increasingly closer to human competence ...
Sentiment transfer is one popular example of a text style transfer task,...
Question answering (QA) is a fundamental means to facilitate assessment ...
Named Entity Recognition (NER) systems often demonstrate great performan...
Continual learning is essential for real-world deployment when there is ...
People write personalized greeting cards on various occasions. While pri...
As NLP models achieved state-of-the-art performances over benchmarks and...
Recently, NLP models have achieved remarkable progress across a variety ...
Question Answering (QA) has been a long-standing research topic in AI an...
Recent research has demonstrated how racial biases against users who wri...
Health-related rumors spreading online during a public crisis may pose a...
Framing has significant but subtle effects on public opinion and policy....
Hate speech has grown significantly on social media, causing serious
con...
Large pre-trained language models (PLMs) have led to great success on va...