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 351–400 of 1961 papers

TitleStatusHype
Generating Natural Adversarial ExamplesCode0
FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical DomainCode0
Generating Data to Mitigate Spurious Correlations in Natural Language Inference DatasetsCode0
Generating Natural Language Adversarial ExamplesCode0
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched TextCode0
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label ClassificationCode0
From Key Points to Key Point Hierarchy: Structured and Expressive Opinion SummarizationCode0
From Text to Context: An Entailment Approach for News Stakeholder ClassificationCode0
Generating Persona Consistent Dialogues by Exploiting Natural Language InferenceCode0
Grounded Textual EntailmentCode0
A Study of fastText Word Embedding Effects in Document Classification in Bangla LanguageCode0
A Comparative Study of Pre-training and Self-trainingCode0
A MISMATCHED Benchmark for Scientific Natural Language InferenceCode0
Forget NLI, Use a Dictionary: Zero-Shot Topic Classification for Low-Resource Languages with Application to LuxembourgishCode0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
Assessment and manipulation of latent constructs in pre-trained language models using psychometric scalesCode0
Am I eligible? Natural Language Inference for Clinical Trial Patient Recruitment: the Patient's Point of ViewCode0
Assessing Word Importance Using Models Trained for Semantic TasksCode0
Adverb Is the Key: Simple Text Data Augmentation with Adverb DeletionCode0
From Alignment to Entailment: A Unified Textual Entailment Framework for Entity AlignmentCode0
Fine-Grained Natural Language Inference Based Faithfulness Evaluation for Diverse Summarisation TasksCode0
Fine-grained Entailment: Resources for Greek NLI and Precise EntailmentCode0
FlauBERT: Unsupervised Language Model Pre-training for FrenchCode0
Fill the GAP: Exploiting BERT for Pronoun ResolutionCode0
AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided ExamplesCode0
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant SetupCode0
Flexible Natural Language-Based Image Data Downlink Prioritization for NanosatellitesCode0
A Logic-Driven Framework for Consistency of Neural ModelsCode0
Asking Crowdworkers to Write Entailment Examples: The Best of Bad OptionsCode0
A Logic-Based Framework for Natural Language Inference in DutchCode0
FarFetched: Entity-centric Reasoning and Claim Validation for the Greek Language based on Textually Represented EnvironmentsCode0
FastTrees: Parallel Latent Tree-Induction for Faster Sequence EncodingCode0
Comparing Text Representations: A Theory-Driven ApproachCode0
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language ModelsCode0
Exploring Transitivity in Neural NLI Models through VeridicalityCode0
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent DetectionCode0
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text RepresentationCode0
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesCode0
Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained ModelsCode0
Exploring Continual Learning of Compositional Generalization in NLICode0
Exploiting BERT to improve aspect-based sentiment analysis performance on Persian languageCode0
Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language InferenceCode0
Compositional Semantics and Inference System for Temporal Order based on Japanese CCGCode0
Figurative Language in Recognizing Textual EntailmentCode0
Leveraging Entailment Judgements in Cross-Lingual SummarisationCode0
Finding Fuzziness in Neural Network Models of Language ProcessingCode0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
ConCSE: Unified Contrastive Learning and Augmentation for Code-Switched EmbeddingsCode0
Extracting and filtering paraphrases by bridging natural language inference and paraphrasingCode0
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake NewsCode0
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All datasetsSNLIRTEMultiNLIQNLIANLI testWNLILiDiRusRCBTERRaCommitmentBankSciTailFarsTail

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% Test Accuracy92.3—Unverified
6RoBERTa-large + self-explaining layer% 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 11BAccuracy92.5—Unverified
9T5-XXL 11B (fine-tuned)Accuracy92.5—Unverified
10ST-MoE-L 4.1B (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
8DeBERTa (large)Matched91.1—Unverified
9Adv-RoBERTa ensembleMatched91.1—Unverified
10SMARTRoBERTaDev Matched91.1—Unverified