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ORCIDGuilherme Moraes Rosa
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2020 – today
- 2022
[c2]Ramon Pires
, Fábio C. de Souza, Guilherme Moraes Rosa, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
Sequence-to-Sequence Models for Extracting Information from Registration and Legal Documents. DAS 2022: 83-95- [i7]Ramon Pires, Fábio C. de Souza, Guilherme Moraes Rosa, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
Sequence-to-Sequence Models for Extracting Information from Registration and Legal Documents. CoRR abs/2201.05658 (2022) - [i6]Guilherme Moraes Rosa, Ruan Chaves Rodrigues, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
To Tune or Not To Tune? Zero-shot Models for Legal Case Entailment. CoRR abs/2202.03120 (2022) - [i5]Guilherme Moraes Rosa, Luiz Henrique Bonifacio, Vitor Jeronymo, Hugo Queiroz Abonizio, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task. CoRR abs/2205.15172 (2022) - [i4]Guilherme Moraes Rosa, Luiz Henrique Bonifacio, Vitor Jeronymo, Hugo Queiroz Abonizio, Marzieh Fadaee, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval. CoRR abs/2206.02873 (2022) - [i3]Vitor Jeronymo, Guilherme Moraes Rosa, Surya Kallumadi, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
A Boring-yet-effective Approach for the Product Ranking Task of the Amazon KDD Cup 2022. CoRR abs/2208.06264 (2022) - 2021
- [c1]Guilherme Moraes Rosa, Ruan Chaves Rodrigues, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
To tune or not to tune?: zero-shot models for legal case entailment. ICAIL 2021: 295-300 - [i2]Guilherme Moraes Rosa, Ruan Chaves Rodrigues, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
Yes, BM25 is a Strong Baseline for Legal Case Retrieval. CoRR abs/2105.05686 (2021) - [i1]Guilherme Moraes Rosa, Luiz Henrique Bonifacio, Leandro Rodrigues de Souza, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira:
A cost-benefit analysis of cross-lingual transfer methods. CoRR abs/2105.06813 (2021)
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