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Natural Language Inference

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Natural language inference (NLI) is the task of determining whether a "hypothesis" is true (entailment), false (contradiction), or undetermined (neutral) given a "premise".

Example:

Premise	Label	Hypothesis
A man inspects the uniform of a figure in some East Asian country.	contradiction	The man is sleeping.
An older and younger man smiling.	neutral	Two men are smiling and laughing at the cats playing on the floor.
A soccer game with multiple males playing.	entailment	Some men are playing a sport.

Approaches used for NLI include earlier symbolic and statistical approaches to more recent deep learning approaches. Benchmark datasets used for NLI include SNLI, MultiNLI, SciTail, among others. You can get hands-on practice on the SNLI task by following this d2l.ai chapter.

Further readings:

Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/happen2me/cross-gnn

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GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models

https://github.com/haruhi-sudo/RPG

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Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation

https://github.com/hassanmojab/metanli

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Persian Natural Language Inference: A Meta-learning approach

https://github.com/hazyresearch/ama_prompting

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Ask Me Anything: A simple strategy for prompting language models

https://github.com/hazyresearch/h3

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Hungry Hungry Hippos: Towards Language Modeling with State Space Models

https://github.com/heidelberg-nlp/c2gen

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Exploring Continual Learning of Compositional Generalization in NLI

https://github.com/heidelberg-nlp/cc-shap-vlm

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Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?

https://github.com/helboukkouri/character-bert

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CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters

https://github.com/helsinki-nlp/uncertainty-aware-nli

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Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging

https://github.com/hengrui-gu/pokemqa

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PokeMQA: Programmable knowledge editing for Multi-hop Question Answering

https://github.com/henningheyen/scalability-of-llm-posthoc-explanations

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The Effect of Model Size on LLM Post-hoc Explainability via LIME

https://github.com/hhexiy/debiased

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Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual

https://github.com/hillary-ngai/doctor_xavier

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Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation

https://github.com/hitvoice/RE2

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Simple and Effective Text Matching with Richer Alignment Features

https://github.com/hitz-zentroa/xnli-eu

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XNLIeu: a dataset for cross-lingual NLI in Basque

https://github.com/hjznlp/infuse

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Fine-Grained Natural Language Inference Based Faithfulness Evaluation for Diverse Summarisation Tasks

https://github.com/hkunlp/icl-ceil

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Compositional Exemplars for In-context Learning

https://github.com/hkust-knowcomp/alpha-pace

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Self-Consistent Narrative Prompts on Abductive Natural Language Inference

https://github.com/hkust-nlp/syncse

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Contrastive Learning of Sentence Embeddings from Scratch

https://github.com/homoscribens/shortcut_reasoning

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Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free Approach

https://github.com/hppRC/defsent

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DefSent: Sentence Embeddings using Definition Sentences

https://github.com/hqa-attack/hqaattack-demo

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HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text

https://github.com/htsucml/VQAG

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End-to-End Video Question-Answer Generation with Generator-Pretester Network

https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/TinyBERT

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TinyBERT: Distilling BERT for Natural Language Understanding

https://github.com/huawei-noah/noah-research/tree/master/freegbdt

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Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning

https://github.com/huggingface/swift-coreml-transformers

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DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

https://github.com/huggingface/transformers

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DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

https://github.com/huggingface/transformers/blob/main/src/transformers/models/squeezebert/modeling_squeezebert.py

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SqueezeBERT: What can computer vision teach NLP about efficient neural networks?

https://github.com/huggingface/transformers/tree/master/src/transformers/models/ibert

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I-BERT: Integer-only BERT Quantization

https://github.com/huhailinguist/ChineseNLIProbing

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Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference

https://github.com/huhailinguist/ccg2mono

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MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity

https://github.com/hzzhou01/hd-loa-prompting

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LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction

https://github.com/iakovosevdaimon/greekbart

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GreekBART: The First Pretrained Greek Sequence-to-Sequence Model

https://github.com/iakovosevdaimon/greeksum

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GreekBART: The First Pretrained Greek Sequence-to-Sequence Model

https://github.com/ibeltagy/rrr

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Representing Meaning with a Combination of Logical and Distributional Models

https://github.com/ibm/indo-aryan-language-family-model

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Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages

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