9 citations · 11 across the 4 of their papers we have counts for
5 papers
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo +73
Visual Question Answering (VQA) is an important task in multimodal AI, and it is often used to test the ability of vision-language models to understand and reason on knowledge pres…
Towards Dog Bark Decoding: Leveraging Human Speech Processing for Automated Bark Classification
Artem Abzaliev, Humberto Pérez Espinosa, Rada Mihalcea
Similar to humans, animals make extensive use of verbal and non-verbal forms of communication, including a large range of audio signals. In this paper, we address dog vocalizations…
DELPHI: Data for Evaluating LLMs' Performance in Handling Controversial Issues
David Q. Sun, Artem Abzaliev, Hadas Kotek +3
Controversy is a reflection of our zeitgeist, and an important aspect to any discourse. The rise of large language models (LLMs) as conversational systems has increased public reli…
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
Oana Ignat, Zhijing Jin, Artem Abzaliev +19
Recent progress in large language models (LLMs) has enabled the deployment of many generative NLP applications. At the same time, it has also led to a misleading public discourse t…
Query Rewriting for Effective Misinformation Discovery
Ashkan Kazemi, Artem Abzaliev, Naihao Deng +4
We propose a novel system to help fact-checkers formulate search queries for known misinformation claims and effectively search across multiple social media platforms. We introduce…