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 101–150 of 1961 papers

TitleStatusHype
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP TasksCode1
FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim ExtractionCode1
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?Code1
Don't Say No: Jailbreaking LLM by Suppressing RefusalCode1
Adversarial Filters of Dataset BiasesCode1
CBLUE: A Chinese Biomedical Language Understanding Evaluation BenchmarkCode1
Chain of Natural Language Inference for Reducing Large Language Model Ungrounded HallucinationsCode1
From Hero to Z\'eroe: A Benchmark of Low-Level Adversarial AttacksCode1
Empowering Language Understanding with Counterfactual ReasoningCode1
Generating Label Cohesive and Well-Formed Adversarial ClaimsCode1
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin InformationCode1
ChatGPT: Jack of all trades, master of noneCode1
CIDER: Commonsense Inference for Dialogue Explanation and ReasoningCode1
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot LearnersCode1
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case GeneralizationCode1
Distributionally Robust Neural NetworksCode1
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?Code1
New Protocols and Negative Results for Textual Entailment Data CollectionCode1
DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceCode1
IMPLI: Investigating NLI Models’ Performance on Figurative LanguageCode1
Analyzing Multi-Task Learning for Abstractive Text SummarizationCode1
An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionCode1
Compositional Explanations of NeuronsCode1
Improving Language Understanding by Generative Pre-TrainingCode1
Compositional Exemplars for In-context LearningCode1
Compositional Evaluation on Japanese Textual Entailment and SimilarityCode1
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterCode1
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsCode1
Distributed NLI: Learning to Predict Human Opinion Distributions for Language ReasoningCode1
Do Multilingual Language Models Think Better in English?Code1
Enhanced LSTM for Natural Language InferenceCode1
DefSent: Sentence Embeddings using Definition SentencesCode1
Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language InferenceCode1
Deep Learning Based Text Classification: A Comprehensive ReviewCode1
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature PerspectiveCode1
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive SummarizationCode1
A Broad-Coverage Challenge Corpus for Sentence Understanding through InferenceCode1
Deep contextualized word representationsCode1
Differentiable Subset Pruning of Transformer HeadsCode1
A Structured Self-attentive Sentence EmbeddingCode1
A Statistical Framework for Low-bitwidth Training of Deep Neural NetworksCode1
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven OptimizationCode1
Cross-Modal BERT for Text-Audio Sentiment AnalysisCode1
A Surprisingly Robust Trick for Winograd Schema ChallengeCode1
Discrete and Soft Prompting for Multilingual ModelsCode1
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language InferenceCode1
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated PromptsCode1
Augmenting Transformers with Recursively Composed Multi-grained RepresentationsCode1
Automatic Evaluation of Attribution by Large Language ModelsCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
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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 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