SOTAVerified

Natural Language Inference

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:

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 1961 papers

TitleStatusHype
BioELECTRA:Pretrained Biomedical text Encoder using DiscriminatorsCode1
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionCode1
Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4Code1
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence FunctionsCode1
Calibration of Pre-trained TransformersCode1
A Broad-Coverage Challenge Corpus for Sentence Understanding through InferenceCode1
Building Efficient Universal Classifiers with Natural Language InferenceCode1
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data GenerationCode1
DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceCode1
Can Explanations Be Useful for Calibrating Black Box Models?Code1
Few-Shot Learning with Siamese Networks and Label TuningCode1
Are self-explanations from Large Language Models faithful?Code1
Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot ConsistencyCode1
Can NLI Models Verify QA Systems' Predictions?Code1
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset BiasesCode1
Can NLI Models Verify QA Systems’ Predictions?Code1
Enhancing adversarial robustness in Natural Language Inference using explanationsCode1
Chain of Natural Language Inference for Reducing Large Language Model Ungrounded HallucinationsCode1
From Hero to Z\'eroe: A Benchmark of Low-Level Adversarial AttacksCode1
From Hero to Zéroe: A Benchmark of Low-Level Adversarial AttacksCode1
A Surprisingly Robust Trick for Winograd Schema ChallengeCode1
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From CharactersCode1
A Decomposable Attention Model for Natural Language InferenceCode1
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingCode1
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin InformationCode1
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language UnderstandingCode1
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionCode1
CIDER: Commonsense Inference for Dialogue Explanation and ReasoningCode1
A Study of Situational Reasoning for Traffic UnderstandingCode1
New Protocols and Negative Results for Textual Entailment Data CollectionCode1
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive SummarizationCode1
Distributed NLI: Learning to Predict Human Opinion Distributions for Language ReasoningCode1
Compositional Exemplars for In-context LearningCode1
Improving BERT Fine-Tuning via Self-Ensemble and Self-DistillationCode1
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsCode1
Compositional Evaluation on Japanese Textual Entailment and SimilarityCode1
Compositional Explanations of NeuronsCode1
ConjNLI: Natural Language Inference Over Conjunctive SentencesCode1
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less DataCode1
IndoNLI: A Natural Language Inference Dataset for IndonesianCode1
A Comparative Study of Pretrained Language Models for Long Clinical TextCode1
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical ReasoningCode1
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language ModelsCode1
Contrastive Learning of Sentence Embeddings from ScratchCode1
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterCode1
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language UnderstandingCode1
Distributionally Robust Neural NetworksCode1
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat ViolenceCode1
DISCO: Distilling Counterfactuals with Large Language ModelsCode1
A Statistical Framework for Low-bitwidth Training of Deep Neural NetworksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UnitedSynT5 (3B)% Test Accuracy94.7—Unverified
2UnitedSynT5 (335M)% Test Accuracy93.5—Unverified
3EFL (Entailment as Few-shot Learner) + RoBERTa-large% Test Accuracy93.1—Unverified
4Neural Tree Indexers for Text Understanding% Test Accuracy93.1—Unverified
5RoBERTa-large + self-explaining layer% Test Accuracy92.3—Unverified
6RoBERTa-large+Self-Explaining% Test Accuracy92.3—Unverified
7CA-MTL% Test Accuracy92.1—Unverified
8SemBERT% Test Accuracy91.9—Unverified
9MT-DNN-SMARTLARGEv0% Test Accuracy91.7—Unverified
10MT-DNN-SMART_100%ofTrainingDataDev Accuracy91.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Vega v2 6B (KD-based prompt transfer)Accuracy96—Unverified
2PaLM 540B (fine-tuned)Accuracy95.7—Unverified
3Turing NLR v5 XXL 5.4B (fine-tuned)Accuracy94.1—Unverified
4ST-MoE-32B 269B (fine-tuned)Accuracy93.5—Unverified
5DeBERTa-1.5BAccuracy93.2—Unverified
6MUPPET Roberta LargeAccuracy92.8—Unverified
7DeBERTaV3largeAccuracy92.7—Unverified
8T5-XXL 11B (fine-tuned)Accuracy92.5—Unverified
9T5-XXL 11BAccuracy92.5—Unverified
10UL2 20B (fine-tuned)Accuracy92.1—Unverified
#ModelMetricClaimedVerifiedStatus
1UnitedSynT5 (3B)Matched92.6—Unverified
2Turing NLR v5 XXL 5.4B (fine-tuned)Matched92.6—Unverified
3T5-XXL 11B (fine-tuned)Matched92—Unverified
4T5Matched92—Unverified
5T5-11BMismatched91.7—Unverified
6T5-3BMatched91.4—Unverified
7ALBERTMatched91.3—Unverified
8Adv-RoBERTa ensembleMatched91.1—Unverified
9DeBERTa (large)Matched91.1—Unverified
10SMARTRoBERTaDev Matched91.1—Unverified