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

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Showing 151–200 of 1961 papers

TitleStatusHype
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language InferenceCode1
Empowering Language Understanding with Counterfactual ReasoningCode1
Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot ConsistencyCode1
CIDER: Commonsense Inference for Dialogue Explanation and ReasoningCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
NeuralLog: Natural Language Inference with Joint Neural and Logical ReasoningCode1
SciFive: a text-to-text transformer model for biomedical literatureCode1
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat ViolenceCode1
PTR: Prompt Tuning with Rules for Text ClassificationCode1
KLUE: Korean Language Understanding EvaluationCode1
Pay Attention to MLPsCode1
DefSent: Sentence Embeddings using Definition SentencesCode1
FNet: Mixing Tokens with Fourier TransformsCode1
Evaluating Attribution in Dialogue Systems: The BEGIN BenchmarkCode1
Entailment as Few-Shot LearnerCode1
PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel ComputationCode1
Distributed NLI: Learning to Predict Human Opinion Distributions for Language ReasoningCode1
Can NLI Models Verify QA Systems' Predictions?Code1
Q^2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question AnsweringCode1
How to Train BERT with an Academic BudgetCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt CollectionsCode1
Incorporating External Knowledge to Enhance Tabular ReasoningCode1
Get Your Vitamin C! Robust Fact Verification with Contrastive EvidenceCode1
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen DomainsCode1
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n ParametersCode1
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-AttentionCode1
LSOIE: A Large-Scale Dataset for Supervised Open Information ExtractionCode1
BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in BanglaCode1
UnNatural Language InferenceCode1
RealFormer: Transformer Likes Residual AttentionCode1
MASKER: Masked Keyword Regularization for Reliable Text ClassificationCode1
ParsiNLU: A Suite of Language Understanding Challenges for PersianCode1
Self-Explaining Structures Improve NLP ModelsCode1
Enhancing Clinical BERT Embedding using a Biomedical Knowledge BaseCode1
Two-Step Classification using Recasted Data for Low Resource SettingsCode1
From Hero to Z\'eroe: A Benchmark of Low-Level Adversarial AttacksCode1
Natural Language Inference in Context -- Investigating Contextual Reasoning over Long TextsCode1
Combining Event Semantics and Degree Semantics for Natural Language InferenceCode1
Thinking Like a Skeptic: Defeasible Inference in Natural LanguageCode1
Optimizing Word Segmentation for Downstream TaskCode1
RussianSuperGLUE: A Russian Language Understanding Evaluation BenchmarkCode1
Learning as Abduction: Trainable Natural Logic Theorem Prover for Natural Language InferenceCode1
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated PromptsCode1
A Statistical Framework for Low-bitwidth Training of Deep Neural NetworksCode1
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language InferenceCode1
Measuring Association Between Labels and Free-Text RationalesCode1
Learning Contextualized Knowledge Structures for Commonsense ReasoningCode1
Exploiting News Article Structure for Automatic Corpus Generation of Entailment DatasetsCode1
mT5: A massively multilingual pre-trained text-to-text transformerCode1
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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