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Igor Cataneo Silveira

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.AI1
ORCID 0000-0003-1599-8347

identity via Semantic Scholar / OpenAlex

most citedAssessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2024★ 2 cited

Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks

Victor Hugo Nascimento Rocha, Igor Cataneo Silveira, Paulo Pirozelli +2

The recent success of Large Language Models (LLMs) has sparked concerns about their potential to spread misinformation. As a result, there is a pressing need for tools to identify…

cs.CL2023

Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change

Paulo Pirozelli, Marcos M. José, Igor Silveira +5

Pirá is a reading comprehension dataset focused on the ocean, the Brazilian coast, and climate change, built from a collection of scientific abstracts and reports on these topics.…

cs.AI2023

dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoning

Renato Lui Geh, Jonas Gonçalves, Igor Cataneo Silveira +2

We present dPASP, a novel declarative probabilistic logic programming framework for differentiable neuro-symbolic reasoning. The framework allows for the specification of discrete…

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