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 1451–1500 of 1961 papers

TitleStatusHype
LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning—0
Lifting the Curse of Multilinguality by Pre-training Modular Transformers—0
Lifting the Curse of Multilinguality by Pre-training Modular Transformers—0
Light Textual Inference for Semantic Parsing—0
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013—0
LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features—0
Literal, Metphorical or Both? Detecting Metaphoricity in Isolated Adjective-Noun Phrases—0
Local and Global Context for Supervised and Unsupervised Metonymy Resolution—0
Locality Preserving Loss: Neighbors that Live together, Align together—0
Logical Semantics, Dialogical Argumentation, and Textual Entailment—0
Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification—0
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text RepresentationCode0
Extracting and filtering paraphrases by bridging natural language inference and paraphrasingCode0
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMsCode0
BERTSel: Answer Selection with Pre-trained ModelsCode0
Language Models Meet Anomaly Detection for Better Interpretability and GeneralizabilityCode0
Exploring Transitivity in Neural NLI Models through VeridicalityCode0
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task LearningCode0
Transformation of Dense and Sparse Text RepresentationsCode0
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem ProvingCode0
A Multilingual Benchmark for Probing Negation-Awareness with Minimal PairsCode0
VERITAS-NLI : Validation and Extraction of Reliable Information Through Automated Scraping and Natural Language InferenceCode0
Multimodal Coherent Explanation Generation of Robot FailuresCode0
Fake News Detection as Natural Language InferenceCode0
Annotating omission in statement pairsCode0
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language ModelsCode0
Zero-shot Factual Consistency Evaluation Across DomainsCode0
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in SummarizationCode0
Translate and Classify: Improving Sequence Level Classification for English-Hindi Code-Mixed DataCode0
FarFetched: Entity-centric Reasoning and Claim Validation for the Greek Language based on Textually Represented EnvironmentsCode0
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent DetectionCode0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
FastTrees: Parallel Latent Tree-Induction for Faster Sequence EncodingCode0
Multi-Task Deep Neural Networks for Natural Language UnderstandingCode0
SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative ExamplesCode0
Multi-turn Inference Matching Network for Natural Language InferenceCode0
Multiway Attention Networks for Modeling Sentence PairsCode0
Muppet: Massive Multi-task Representations with Pre-FinetuningCode0
Schema-Guided Semantic Accuracy: Faithfulness in Task-Oriented Dialogue Response GenerationCode0
Benchmarking Long-tail Generalization with Likelihood SplitsCode0
Exploring Continual Learning of Compositional Generalization in NLICode0
BatchPrompt: Accomplish more with lessCode0
Baselines and test data for cross-lingual inferenceCode0
Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained ModelsCode0
Scoring and Classifying Implicit Positive Interpretations: A Challenge of Class ImbalanceCode0
Exploiting BERT to improve aspect-based sentiment analysis performance on Persian languageCode0
CsFEVER and CTKFacts: Acquiring Czech data for fact verificationCode0
Explanation Selection Using Unlabeled Data for Chain-of-Thought PromptingCode0
Natural Language Inference over Interaction Space: ICLR 2018 Reproducibility ReportCode0
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant SetupCode0
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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