most citedCompressing Context to Enhance Inference Efficiency of Large Language Models

3 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20241 cited

BioMNER: A Dataset for Biomedical Method Entity Recognition

Chen Tang, Bohao Yang, Kun Zhao +4

Named entity recognition (NER) stands as a fundamental and pivotal task within the realm of Natural Language Processing. Particularly within the domain of Biomedical Method NER, th…

cs.CL20242 cited

Evaluating Large Language Models for Generalization and Robustness via Data Compression

Yucheng Li, Yunhao Guo, Frank Guerin +1

Existing methods for evaluating large language models face challenges such as data contamination, sensitivity to prompts, and the high cost of benchmark creation. To address this,…

cs.CL2024

Finding Challenging Metaphors that Confuse Pretrained Language Models

Yucheng Li, Frank Guerin, Chenghua Lin

Metaphors are considered to pose challenges for a wide spectrum of NLP tasks. This gives rise to the area of computational metaphor processing. However, it remains unclear what typ…

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…