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 1751–1800 of 1961 papers

TitleStatusHype
Smoothing Entailment Graphs with Language ModelsCode0
DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact VerificationCode0
Drop Dropout on Single-Epoch Language Model PretrainingCode0
THiFLY Research at SemEval-2023 Task 7: A Multi-granularity System for CTR-based Textual Entailment and Evidence RetrievalCode0
Knowledge-Enhanced Evidence Retrieval for Counterargument GenerationCode0
Social Bias in Elicited Natural Language InferencesCode0
CASPR: Automated Evaluation Metric for Contrastive SummarizationCode0
Knowledge-Guided Linguistic Rewrites for Inference Rule VerificationCode0
Assessment and manipulation of latent constructs in pre-trained language models using psychometric scalesCode0
Sociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual EntailmentCode0
Do Prompt-Based Models Really Understand the Meaning of their Prompts?Code0
Using Natural Language Relations between Answer Choices for Machine ComprehensionCode0
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language InferenceCode0
Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation ModelsCode0
Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer PerformanceCode0
Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text GenerationCode0
Adversarially Regularising Neural NLI Models to Integrate Logical Background KnowledgeCode0
Don't Fight Hallucinations, Use Them: Estimating Image Realism using NLI over Atomic FactsCode0
Do Neural Language Representations Learn Physical Commonsense?Code0
A logical-based corpus for cross-lingual evaluationCode0
Language Embeddings for Typology and Cross-lingual Transfer LearningCode0
Language Fusion for Parameter-Efficient Cross-lingual TransferCode0
TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report AnalysisCode0
Do Language Models Understand Morality? Towards a Robust Detection of Moral ContentCode0
Solution of DeBERTaV3 on CommonsenseQACode0
Language Models for Lexical Inference in ContextCode0
Language models show human-like content effects on reasoning tasksCode0
Solving NLP Problems through Human-System Collaboration: A Discussion-based ApproachCode0
Assessing Word Importance Using Models Trained for Semantic TasksCode0
SpaceNLI: Evaluating the Consistency of Predicting Inferences in SpaceCode0
SpanBERT: Improving Pre-training by Representing and Predicting SpansCode0
Can neural networks understand monotonicity reasoning?Code0
SparseMAP: Differentiable Sparse Structured InferenceCode0
Sparse Sinkhorn AttentionCode0
Specialising Word Vectors for Lexical EntailmentCode0
Asking Crowdworkers to Write Entailment Examples: The Best of Bad OptionsCode0
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based RetrievalCode0
SplitEE: Early Exit in Deep Neural Networks with Split ComputingCode0
Probing Language Models for Understanding of Temporal ExpressionsCode0
LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention BiasCode0
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human RatingsCode0
TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial AttackCode0
Probing Linguistic SystematicityCode0
WARP-Text: a Web-Based Tool for Annotating Relationships between Pairs of TextsCode0
Probing Natural Language Inference Models through Semantic FragmentsCode0
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy LogicCode0
Probing Pre-Trained Language Models for Disease KnowledgeCode0
Does Chinese BERT Encode Word Structure?Code0
Probing the Natural Language Inference Task with Automated Reasoning ToolsCode0
A Simple Recurrent Unit with Reduced Tensor Product RepresentationsCode0
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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% 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