most citedTo Tune or Not To Tune? Zero-shot Models for Legal Case Entailment

9 citations · 27 across the 8 of their papers we have counts for

collaborators

8 papers

cs.IR2022★ 6 cited

In Defense of Cross-Encoders for Zero-Shot Retrieval

Guilherme Rosa, Luiz Bonifacio, Vitor Jeronymo +4

Bi-encoders and cross-encoders are widely used in many state-of-the-art retrieval pipelines. In this work we study the generalization ability of these two types of architectures on…

cs.IR2022★ 1 cited

A Boring-yet-effective Approach for the Product Ranking Task of the Amazon KDD Cup 2022

Vitor Jeronymo, Guilherme Rosa, Surya Kallumadi +2

In this work we describe our submission to the product ranking task of the Amazon KDD Cup 2022. We rely on a receipt that showed to be effective in previous competitions: we focus…

cs.IR2022★ 6 cited

No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval

Guilherme Moraes Rosa, Luiz Bonifacio, Vitor Jeronymo +4

Recent work has shown that small distilled language models are strong competitors to models that are orders of magnitude larger and slower in a wide range of information retrieval…

cs.CL2022★ 4 cited

Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task

Guilherme Moraes Rosa, Luiz Bonifacio, Vitor Jeronymo +3

Recent work has shown that language models scaled to billions of parameters, such as GPT-3, perform remarkably well in zero-shot and few-shot scenarios. In this work, we experiment…

cs.CL2022★ 9 cited

To Tune or Not To Tune? Zero-shot Models for Legal Case Entailment

Guilherme Moraes Rosa, Ruan Chaves Rodrigues, Roberto de Alencar Lotufo +1

There has been mounting evidence that pretrained language models fine-tuned on large and diverse supervised datasets can transfer well to a variety of out-of-domain tasks. In this…

cs.AI2022

Sequence-to-Sequence Models for Extracting Information from Registration and Legal Documents

Ramon Pires, Fábio C. de Souza, Guilherme Rosa +2

A typical information extraction pipeline consists of token- or span-level classification models coupled with a series of pre- and post-processing scripts. In a production pipeline…

cs.CL2021

A cost-benefit analysis of cross-lingual transfer methods

Guilherme Moraes Rosa, Luiz Henrique Bonifacio, Leandro Rodrigues de Souza +2

An effective method for cross-lingual transfer is to fine-tune a bilingual or multilingual model on a supervised dataset in one language and evaluating it on another language in a…

cs.IR2021★ 1 cited

Yes, BM25 is a Strong Baseline for Legal Case Retrieval

Guilherme Moraes Rosa, Ruan Chaves Rodrigues, Roberto Lotufo +1

We describe our single submission to task 1 of COLIEE 2021. Our vanilla BM25 got second place, well above the median of submissions. Code is available at https://github.com/neuralm…