62 citations · 266 across the 19 of their papers we have counts for
22 papers
Latent Personal Memory: Represent personal memory as dynamic soft prompts
Debrup Das, Avinash Amballa, Yashas Malur Saidutta +3
Personalizing large language models (LLMs) requires encoding long-term, user-specific behavioral patterns in a way that is computationally efficient, scalable, and compatible with…
NTULM: Enriching Social Media Text Representations with Non-Textual Units
Jinning Li, Shubhanshu Mishra, Ahmed El-Kishky +2
On social media, additional context is often present in the form of annotations and meta-data such as the post's author, mentions, Hashtags, and hyperlinks. We refer to these annot…
CTM -- A Model for Large-Scale Multi-View Tweet Topic Classification
Vivek Kulkarni, Kenny Leung, Aria Haghighi
Automatically associating social media posts with topics is an important prerequisite for effective search and recommendation on many social media platforms. However, topic classif…
LMSOC: An Approach for Socially Sensitive Pretraining
Vivek Kulkarni, Shubhanshu Mishra, Aria Haghighi
While large-scale pretrained language models have been shown to learn effective linguistic representations for many NLP tasks, there remain many real-world contextual aspects of la…
What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog
Pushkar Shukla, Carlos Elmadjian, Richika Sharan +3
The ability to engage in goal-oriented conversations has allowed humans to gain knowledge, reduce uncertainty, and perform tasks more efficiently. Artificial agents, however, are s…
MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings
Hao Yu, Vivek Kulkarni, William Wang
Many knowledge graph embedding methods operate on triples and are therefore implicitly limited by a very local view of the entire knowledge graph. We present a new framework MOHONE…