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Research - Papers

Explore a selection of our published work on a variety of key research challenges in AI.

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Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation

Kung-Hsiang HuangPreslav NakovYejin ChoiHeng Ji
2022
arXiv

While there has been a lot of research and many recent advances in neural fake news detection, defending against human-written disinformation remains underexplored. Upon analyzing current approaches… 

LIMEADE: From AI Explanations to Advice Taking

B. LeeDoug DowneyKyle LoDaniel S. Weld
2022
TiiS

Research in human-centered AI has shown the benefits of systems that can explain their predictions. Methods that allow an AI to take advice from humans in response to explanations are similarly… 

Text-based NP Enrichment

Yanai ElazarVictoria BasmovYoav GoldbergReut Tsarfaty
2022
TACL

Understanding the relations between entities denoted by NPs in text is a critical part of human-like natural language understanding. However, only a fraction of such relations is covered by NLP… 

Hallett‐Mossop Rime Splintering Dims Cumulus Clouds Over the Southern Ocean: New Insight From Nudged Global Storm‐Resolving Simulations

R. AtlasC. BrethertonM. KhairoutdinovP. Blossey
2022
AGU Advances

In clouds containing both liquid and ice with temperatures between −3°C and −8°C, liquid droplets collide with large ice crystals, freeze, and shatter, producing a plethora of small ice splinters.… 

Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing

Tal AugustLucy Lu WangJonathan BraggKyle Lo
2022
ACM Transactions on Computer-Human Interaction, Volume 30, Issue 5

When seeking information not covered in patient-friendly documents, healthcare consumers may turn to the research literature. Reading medical papers, however, can be a challenging experience. To… 

One-Shot Labeling for Automatic Relevance Estimation

Sean MacAvaneyLuca Soldaini
2022
SIGIR

Dealing with unjudged documents ("holes") in relevance assessments is a perennial problem when evaluating search systems with offline experiments. Holes can reduce the apparent effectiveness of… 

A Search Engine for Discovery of Scientific Challenges and Directions

D. LahavJon Saad-FalconBailey KuehlTom Hope
2022
AAAI

Keeping track of scientific challenges, advances and emerging directions is a fundamental part of research. However, researchers face a flood of papers that hinders discovery of important knowledge.… 

Knowledge is Power: Symbolic Knowledge Distillation, Commonsense Morality, & Multimodal Script Knowledge

Yejin Choi
2022
WSDM

Scale appears to be the winning recipe in today's AI leaderboards. And yet, extreme-scale neural models are still brittle to make errors that are often nonsensical and even counterintuitive. In this… 

A Controllable Model of Grounded Response Generation

Zeqiu WuMichel GalleyChris BrockettBill Dolan
2022
AAAI

Current end-to-end neural conversation models inherently lack the flexibility to impose semantic control in the response generation process. This control is essential to ensure that users' semantic… 

Multi-Modal Answer Validation for Knowledge-Based VQA

Jialin WuJiasen LuAshish SabharwalR. Mottaghi
2022
AAAI

The problem of knowledge-based visual question answering involves answering questions that require external knowledge in addition to the content of the image. Such knowledge typically comes in a…