most citedLeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development

4 citations · 12 across the 9 of their papers we have counts for

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cs.CL2023

PokemonChat: Auditing ChatGPT for Pokémon Universe Knowledge

Laura Cabello, Jiaang Li, Ilias Chalkidis

The recently released ChatGPT model demonstrates unprecedented capabilities in zero-shot question-answering. In this work, we probe ChatGPT for its conversational understanding and…

cs.CL20231 cited

Retrieval-augmented Multi-label Text Classification

Ilias Chalkidis, Yova Kementchedjhieva

Multi-label text classification (MLC) is a challenging task in settings of large label sets, where label support follows a Zipfian distribution. In this paper, we address this prob…

cs.CL20234 cited

LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development

Ilias Chalkidis, Nicolas Garneau, Catalina Goanta +2

In this work, we conduct a detailed analysis on the performance of legal-oriented pre-trained language models (PLMs). We examine the interplay between their original objective, acq…

cs.CL20233 cited

An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical Text

Yova Kementchedjhieva, Ilias Chalkidis

Standard methods for multi-label text classification largely rely on encoder-only pre-trained language models, whereas encoder-decoder models have proven more effective in other cl…

cs.CL20233 cited

ChatGPT may Pass the Bar Exam soon, but has a Long Way to Go for the LexGLUE benchmark

Ilias Chalkidis

Following the hype around OpenAI's ChatGPT conversational agent, the last straw in the recent development of Large Language Models (LLMs) that demonstrate emergent unprecedented ze…