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 301–350 of 1961 papers

TitleStatusHype
FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical DomainCode0
Generating Natural Adversarial ExamplesCode0
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched TextCode0
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence PairsCode0
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label ClassificationCode0
Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer PerformanceCode0
From Key Points to Key Point Hierarchy: Structured and Expressive Opinion SummarizationCode0
From Text to Context: An Entailment Approach for News Stakeholder ClassificationCode0
Generating Natural Language Adversarial ExamplesCode0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
From Alignment to Entailment: A Unified Textual Entailment Framework for Entity AlignmentCode0
Analyzing the Effects of Annotator Gender across NLP TasksCode0
Forget NLI, Use a Dictionary: Zero-Shot Topic Classification for Low-Resource Languages with Application to LuxembourgishCode0
Elastic weight consolidation for better bias inoculationCode0
Analyzing Compositionality-Sensitivity of NLI ModelsCode0
Acquisition of Phrase Correspondences using Natural Deduction ProofsCode0
Affective-NLI: Towards Accurate and Interpretable Personality Recognition in ConversationCode0
Generating Persona Consistent Dialogues by Exploiting Natural Language InferenceCode0
Fine-grained Entailment: Resources for Greek NLI and Precise EntailmentCode0
Finding Fuzziness in Neural Network Models of Language ProcessingCode0
Fine-Grained Natural Language Inference Based Faithfulness Evaluation for Diverse Summarisation TasksCode0
Fill the GAP: Exploiting BERT for Pronoun ResolutionCode0
Figurative Language in Recognizing Textual EntailmentCode0
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant SetupCode0
FlauBERT: Unsupervised Language Model Pre-training for FrenchCode0
Automated Long Answer Grading with RiceChem DatasetCode0
A Multiple Choices Reading Comprehension Corpus for Vietnamese Language EducationCode0
A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language InferenceCode0
Adversarial Training for Large Neural Language ModelsCode0
Augmenting Neural Networks with First-order LogicCode0
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in SummarizationCode0
Augmenting Legal Decision Support Systems with LLM-based NLI for Analyzing Social Media EvidenceCode0
A Multilingual Benchmark for Probing Negation-Awareness with Minimal PairsCode0
Fake News Detection as Natural Language InferenceCode0
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
Flexible Natural Language-Based Image Data Downlink Prioritization for NanosatellitesCode0
AttesTable at SemEval-2021 Task 9: Extending Statement Verification with Tables for Unknown Class, and Semantic Evidence FindingCode0
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language ModelsCode0
Adversarial Self-Attention for Language UnderstandingCode0
Attentive Convolution: Equipping CNNs with RNN-style Attention MechanismsCode0
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent DetectionCode0
Exploring Transitivity in Neural NLI Models through VeridicalityCode0
Exploring Continual Learning of Compositional Generalization in NLICode0
Adversarially Regularising Neural NLI Models to Integrate Logical Background KnowledgeCode0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples GenerationCode0
Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained ModelsCode0
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text RepresentationCode0
Explanation Selection Using Unlabeled Data for Chain-of-Thought PromptingCode0
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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