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 751–800 of 1961 papers

TitleStatusHype
HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity ReasoningCode0
Discriminating between Lexico-Semantic Relations with the Specialization Tensor ModelCode0
Discrete-State Variational Autoencoders for Joint Discovery and Factorization of RelationsCode0
Discovering Implicit Knowledge with Unary RelationsCode0
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution SimilaritiesCode0
Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free ApproachCode0
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language InferenceCode0
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesCode0
GreekBART: The First Pretrained Greek Sequence-to-Sequence ModelCode0
Benchmarking Long-tail Generalization with Likelihood SplitsCode0
Discourse Marker Augmented Network with Reinforcement Learning for Natural Language InferenceCode0
Figurative Language in Recognizing Textual EntailmentCode0
GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online DebatesCode0
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable RepresentationsCode0
GIST at SemEval-2018 Task 12: A network transferring inference knowledge to Argument Reasoning Comprehension taskCode0
A Pragmatics-Centered Evaluation Framework for Natural Language UnderstandingCode0
Abductive Commonsense ReasoningCode0
GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection?Code0
Grounded Textual EntailmentCode0
A Logic-Based Framework for Natural Language Inference in DutchCode0
Asking Crowdworkers to Write Entailment Examples: The Best of Bad OptionsCode0
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language UnderstandingCode0
Semantically Distributed Robust Optimization for Vision-and-Language InferenceCode0
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation LearningCode0
Disambiguation of Verbal ShiftersCode0
BatchPrompt: Accomplish more with lessCode0
Flexible Natural Language-Based Image Data Downlink Prioritization for NanosatellitesCode0
Generating Natural Language Adversarial ExamplesCode0
Generating Natural Adversarial ExamplesCode0
Generating Persona Consistent Dialogues by Exploiting Natural Language InferenceCode0
DIBERT: Dependency Injected Bidirectional Encoder Representations from TransformersCode0
Forget NLI, Use a Dictionary: Zero-Shot Topic Classification for Low-Resource Languages with Application to LuxembourgishCode0
Baselines and test data for cross-lingual inferenceCode0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided ExamplesCode0
Shortcut-Stacked Sentence Encoders for Multi-Domain InferenceCode0
From Alignment to Entailment: A Unified Textual Entailment Framework for Entity AlignmentCode0
A Generative Approach for Mitigating Structural Biases in Natural Language InferenceCode0
Generating Data to Mitigate Spurious Correlations in Natural Language Inference DatasetsCode0
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on TextCode0
Investigating Reasons for Disagreement in Natural Language InferenceCode0
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched TextCode0
Marked Attribute Bias in Natural Language InferenceCode0
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent NetworksCode0
SILT: Efficient transformer training for inter-lingual inferenceCode0
From Text to Context: An Entailment Approach for News Stakeholder ClassificationCode0
"Seeing the Big through the Small": Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?Code0
DialogueScore: Evaluating Responses in Task-Oriented Dialogue—0
Dialogue Natural Language Inference—0
BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla—0
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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