Search Results for author: Arkadiy Saakyan

Found 7 papers, 6 papers with code

ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer

1 code implementation15 Sep 2023 Arkadiy Saakyan, Smaranda Muresan

We propose a framework to augment and improve a formality style transfer dataset with explanations via model distillation from ChatGPT.

Authorship Verification Formality Style Transfer +1

I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors

1 code implementation24 May 2023 Tuhin Chakrabarty, Arkadiy Saakyan, Olivia Winn, Artemis Panagopoulou, Yue Yang, Marianna Apidianaki, Smaranda Muresan

We propose to solve the task through the collaboration between Large Language Models (LLMs) and Diffusion Models: Instruct GPT-3 (davinci-002) with Chain-of-Thought prompting generates text that represents a visual elaboration of the linguistic metaphor containing the implicit meaning and relevant objects, which is then used as input to the diffusion-based text-to-image models. Using a human-AI collaboration framework, where humans interact both with the LLM and the top-performing diffusion model, we create a high-quality dataset containing 6, 476 visual metaphors for 1, 540 linguistic metaphors and their associated visual elaborations.

Visual Entailment

Sociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual Entailment

1 code implementation23 May 2023 Sky CH-Wang, Arkadiy Saakyan, Oliver Li, Zhou Yu, Smaranda Muresan

Embedding Chain-of-Thought prompting in a human-AI collaborative framework, we build a high-quality dataset of 3, 069 social norms aligned with social situations across Chinese and American cultures alongside corresponding free-text explanations.

Descriptive Natural Language Inference

FLUTE: Figurative Language Understanding through Textual Explanations

1 code implementation24 May 2022 Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, Smaranda Muresan

Figurative language understanding has been recently framed as a recognizing textual entailment (RTE) task (a. k. a.

Natural Language Inference RTE

Don't Go Far Off: An Empirical Study on Neural Poetry Translation

1 code implementation7 Sep 2021 Tuhin Chakrabarty, Arkadiy Saakyan, Smaranda Muresan

Moreover, multilingual fine-tuning on poetic data outperforms \emph{bilingual} fine-tuning on poetic data.

Machine Translation Translation

Cannot find the paper you are looking for? You can Submit a new open access paper.