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Papers Adversarial Natural Language Inference

“Adversarial Natural Language Inference” 태그가 달린 논문 5편 · 필터 해제

ViANLI: Adversarial Natural Language Inference for Vietnamese

2024-06-25 · Tin Van Huynh, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen

The development of Natural Language Processing (NLI) datasets and models has been inspired by innovations in annotation design. With the rapid development of machine learning models today, the performance of existing mac…

Adversarial Natural Language InferenceNatural Language InferenceNatural Language UnderstandingVietnamese Natural Language Inference+1

Prompting for explanations improves Adversarial NLI. Is this true? {Yes} it is {true} because {it weakens superficial cues}

2023-05-01 · EACL 2023 5 · Pride Kavumba, Ana Brassard, Benjamin Heinzerling, Kentaro Inui

Explanation prompts ask language models to not only assign a particular label to a giveninput, such as true, entailment, or contradiction in the case of natural language inference but also to generate a free-text explana…

Adversarial Natural Language InferenceNatural Language Inference

Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference

2021-11-01 · EMNLP (BlackboxNLP) 2021 11 · Hitomi Yanaka, Koji Mineshima

Despite the success of multilingual pre-trained language models, it remains unclear to what extent these models have human-like generalization capacity across languages. The aim of this study is to investigate the out-of…

Adversarial Natural Language InferenceNatural Language InferenceOut-of-Distribution Generalization

Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence

2021-03-15 · NAACL 2021 4 · Tal Schuster, Adam Fisch, Regina Barzilay

Typical fact verification models use retrieved written evidence to verify claims. Evidence sources, however, often change over time as more information is gathered and revised. In order to adapt, models must be sensitive…

Adversarial Natural Language InferenceFact CheckingFact VerificationNatural Language Inference+1

ANLIzing the Adversarial Natural Language Inference Dataset

2020-10-24 · SCiL 2022 2 · Adina Williams, Tristan Thrush, Douwe Kiela

We perform an in-depth error analysis of Adversarial NLI (ANLI), a recently introduced large-scale human-and-model-in-the-loop natural language inference dataset collected over multiple rounds. We propose a fine-grained …

Adversarial Natural Language InferenceNatural Language Inference
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