most citedCompressing Context to Enhance Inference Efficiency of Large Language Models

3 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL20231 cited

ACL Anthology Helper: A Tool to Retrieve and Manage Literature from ACL Anthology

Chen Tang, Frank Guerin, Chenghua Lin

The ACL Anthology is an online repository that serves as a comprehensive collection of publications in the field of natural language processing (NLP) and computational linguistics…

cs.CL20233 cited

Compressing Context to Enhance Inference Efficiency of Large Language Models

Yucheng Li, Bo Dong, Chenghua Lin +1

Large language models (LLMs) achieved remarkable performance across various tasks. However, they face challenges in managing long documents and extended conversations, due to signi…

cs.CV20231 cited

MOFO: MOtion FOcused Self-Supervision for Video Understanding

Mona Ahmadian, Frank Guerin, Andrew Gilbert

Self-supervised learning (SSL) techniques have recently produced outstanding results in learning visual representations from unlabeled videos. Despite the importance of motion in s…

cs.CL2023

Metaphor Detection with Effective Context Denoising

Shun Wang, Yucheng Li, Chenghua Lin +2

We propose a novel RoBERTa-based model, RoPPT, which introduces a target-oriented parse tree structure in metaphor detection. Compared to existing models, RoPPT focuses on semantic…

cs.CL20232 cited

FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning

Yucheng Li, Shun Wang, Chenghua Lin +2

In this paper, we propose FrameBERT, a RoBERTa-based model that can explicitly learn and incorporate FrameNet Embeddings for concept-level metaphor detection. FrameBERT not only ac…

cs.CL2023

The Secret of Metaphor on Expressing Stronger Emotion

Yucheng Li, Frank Guerin, Chenghua Lin

Metaphors are proven to have stronger emotional impact than literal expressions. Although this conclusion is shown to be promising in benefiting various NLP applications, the reaso…