Page Not Found
Page not found. Your pixels are in another canvas.
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
About me
Page not in menu
This is a page not in th emain menu
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Improving Natural Language Interaction with Robots Using Advice
Published in NAACL 2019, 2019
We focus on the blocks-world task and propose a framework in which advice, high-level observations about the task that can help constrain the agents prediction, can improve performance. The advice can be provided via natural language by humans, even after the system is trained.
Download here
Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks
Published in InterNLP 2021, 2021
This paper tackles fake news detection interactively, where human insight can be continually combined with an automated system, enabling better social media representation quality. We show how minimal interactions can propagate through a graph-based framework to lead to performance improvements.
Download here
Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks
Published in ACL 2022, 2022
We tackle fake news detection on social media by proposing a framework that continuously improves the learned social media representation by augmenting the graph to uncover hidden relationships. We show improvements on two datasets.
Download here
Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback
Published in Findings of EACL 2024, 2023
We develop an agent that can interact with humans to solve challenging grounded language learning tasks. Specifically, the agent can receive “help” from humans as feedback, and incorporate it to perform better in other scenarios. Further, the can detect when it is confused and ask a relevant clarification question, which a human (or the agent itself) can answer, allowing it to perform better.
Download here
An Interactive Framework for Profiling News Media Sources
Published in NAACL 2024, 2023
We develop a framework that combines the strengths of Large Language Models (LLMs), graphs, and humans to better profile news media sources (detect their factuality and political bias). Our framework performs better than using each approach independently: We outperform LLMs and graph models, and we need a lot fewer human interactions (less than 5) than having humans profile all news content.
Download here
Interactively Learning Social Media Representations Improves News Source Factuality Detection
Published in Findings of IJCNLP-AACL 2023, 2023
We develop an interactive framework to detect the factuality of news sources. We take advantage of human insight, where humans interact on sub-graphs, providing us information about user similarity. This interaction is simple for humans and very quick. It also doesn’t require humans to be aware of the factuality of news content. We then combine this interaction with a graph deep learning framework, showing how these interactions lead to significant performance improvements. Our novel contribution is where humans should interact (for maximum impact), what they should interact on, and how we should incorporate the interactions.
Download here
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.