Skip To Main Content
Kaveh Hassani on Muck Rack

Kaveh Hassani

As seen in: arXiv
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Kaveh

Contact Kaveh, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

[2410.13798] Learning Graph Quantized Tokenizers for Transformers

|
By Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (570) Issue with article?

[1910.08249] Relational Graph Representation Learning for Open-Domain Question Answering

|
By Kaveh Hassani
| arXiv
Authors:Salvatore Vivona, Kaveh Hassani (Submitted on 18 Oct 2019) Abstract: We introduce a relational graph neural network with bi-directional attention mechanism and hierarchical representation learning for open-domain question answering task. Our model can learn contextual representation by jointly learning and updating the query, knowledge graph, and document representations. The experiments suggest that our model achieves state-of-the-art on the WebQuestionsSP benchmark.
Open in Who Shared Issue with article?
See all 2 articles