8 citations · 21 across the 7 of their papers we have counts for
7 papers
BRAINTEASER: Lateral Thinking Puzzles for Large Language Models
Yifan Jiang, Filip Ilievski, Kaixin Ma +1
The success of language models has inspired the NLP community to attend to tasks that require implicit and complex reasoning, relying on human-like commonsense mechanisms. While su…
A Study of Situational Reasoning for Traffic Understanding
Jiarui Zhang, Filip Ilievski, Kaixin Ma +3
Intelligent Traffic Monitoring (ITMo) technologies hold the potential for improving road safety/security and for enabling smart city infrastructure. Understanding traffic situation…
Using Visual Cropping to Enhance Fine-Detail Question Answering of BLIP-Family Models
Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara +1
Visual Question Answering is a challenging task, as it requires seamless interaction between perceptual, linguistic, and background knowledge systems. While the recent progress of…
A Study of Slang Representation Methods
Aravinda Kolla, Filip Ilievski, Hông-Ân Sandlin +1
Considering the large amount of content created online by the minute, slang-aware automatic tools are critically needed to promote social good, and assist policymakers and moderato…
Coalescing Global and Local Information for Procedural Text Understanding
Kaixin Ma, Filip Ilievski, Jonathan Francis +2
Procedural text understanding is a challenging language reasoning task that requires models to track entity states across the development of a narrative. A complete procedural unde…
Enriching Wikidata with Linked Open Data
Bohui Zhang, Filip Ilievski, Pedro Szekely
Large public knowledge graphs, like Wikidata, contain billions of statements about tens of millions of entities, thus inspiring various use cases to exploit such knowledge graphs.…