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
Cross-Thought for Sentence Encoder Pre-trainingCode1
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and LanguageCode1
CIDER: Commonsense Inference for Dialogue Explanation and ReasoningCode1
Can NLI Models Verify QA Systems’ Predictions?Code1
Deep Learning Based Text Classification: A Comprehensive ReviewCode1
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven OptimizationCode1
Can NLI Models Verify QA Systems' Predictions?Code1
Differentiable Subset Pruning of Transformer HeadsCode1
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?Code1
Distributionally Robust Neural NetworksCode1
DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceCode1
Do Multilingual Language Models Think Better in English?Code1
Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot ConsistencyCode1
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsCode1
Can Explanations Be Useful for Calibrating Black Box Models?Code1
EENLP: Cross-lingual Eastern European NLP IndexCode1
A Broad-Coverage Challenge Corpus for Sentence Understanding through InferenceCode1
Entailment as Few-Shot LearnerCode1
Are self-explanations from Large Language Models faithful?Code1
e-SNLI: Natural Language Inference with Natural Language ExplanationsCode1
CBLUE: A Chinese Biomedical Language Understanding Evaluation BenchmarkCode1
Evaluating Attribution in Dialogue Systems: The BEGIN BenchmarkCode1
A Decomposable Attention Model for Natural Language InferenceCode1
Evaluating the Factual Consistency of Abstractive Text SummarizationCode1
Citation-Enhanced Generation for LLM-based ChatbotsCode1
BioELECTRA:Pretrained Biomedical text Encoder using DiscriminatorsCode1
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionCode1
FactCG: Enhancing Fact Checkers with Graph-Based Multi-Hop DataCode1
Fast and Accurate Factual Inconsistency Detection Over Long DocumentsCode1
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP TasksCode1
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive SummarizationCode1
Few-shot Learning with Multilingual Language ModelsCode1
FLUTE: Figurative Language Understanding through Textual ExplanationsCode1
FNet: Mixing Tokens with Fourier TransformsCode1
Building Efficient Universal Classifiers with Natural Language InferenceCode1
From Hero to Z\'eroe: A Benchmark of Low-Level Adversarial AttacksCode1
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n ParametersCode1
Get Your Vitamin C! Robust Fact Verification with Contrastive EvidenceCode1
GREEK-BERT: The Greeks visiting Sesame StreetCode1
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot LearnersCode1
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language ModelsCode1
Automatic Evaluation of Attribution by Large Language ModelsCode1
Big Bird: Transformers for Longer SequencesCode1
IMPLI: Investigating NLI Models’ Performance on Figurative LanguageCode1
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report GenerationCode1
Improving Language Understanding by Generative Pre-TrainingCode1
IndoNLI: A Natural Language Inference Dataset for IndonesianCode1
Inducing Causal Structure for Interpretable Neural NetworksCode1
Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language InferenceCode1
Calibration of Pre-trained TransformersCode1
Show:102550
← PrevPage 4 of 40Next →
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 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