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 1–50 of 1961 papers

TitleStatusHype
RWKV: Reinventing RNNs for the Transformer EraCode6
LLM.int8(): 8-bit Matrix Multiplication for Transformers at ScaleCode5
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task AdaptationCode4
AlignScore: Evaluating Factual Consistency with a Unified Alignment FunctionCode4
TrueTeacher: Learning Factual Consistency Evaluation with Large Language ModelsCode4
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice PerspectiveCode4
N-Grammer: Augmenting Transformers with latent n-gramsCode4
ST-MoE: Designing Stable and Transferable Sparse Expert ModelsCode3
Finetuned Language Models Are Zero-Shot LearnersCode3
Language Models are Few-Shot LearnersCode3
ERNIE 2.0: A Continual Pre-training Framework for Language UnderstandingCode3
Pre-Training with Whole Word Masking for Chinese BERTCode3
ERNIE: Enhanced Representation through Knowledge IntegrationCode3
BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingCode3
Scientific QA System with Verifiable AnswersCode2
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language ModelsCode2
Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at ScaleCode2
PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical DomainCode2
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular QuantizersCode2
BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical TasksCode2
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-TuningCode2
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale InstructionsCode2
Hungry Hungry Hippos: Towards Language Modeling with State Space ModelsCode2
Ask Me Anything: A simple strategy for prompting language modelsCode2
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq ModelCode2
mGPT: Few-Shot Learners Go MultilingualCode2
PaLM: Scaling Language Modeling with PathwaysCode2
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingCode2
Order Constraints in Optimal TransportCode2
SimCSE: Simple Contrastive Learning of Sentence EmbeddingsCode2
I-BERT: Integer-only BERT QuantizationCode2
DeBERTa: Decoding-enhanced BERT with Disentangled AttentionCode2
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerCode2
ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsCode2
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment ApproachCode2
Learning to Reason via Mixture-of-Thought for Logical ReasoningCode1
FactCG: Enhancing Fact Checkers with Graph-Based Multi-Hop DataCode1
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven OptimizationCode1
GrEmLIn: A Repository of Green Baseline Embeddings for 87 Low-Resource Languages Injected with Multilingual Graph KnowledgeCode1
Enhancing adversarial robustness in Natural Language Inference using explanationsCode1
Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playingCode1
Don't Say No: Jailbreaking LLM by Suppressing RefusalCode1
FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim ExtractionCode1
Citation-Enhanced Generation for LLM-based ChatbotsCode1
Pixel Sentence Representation LearningCode1
MT-Ranker: Reference-free machine translation evaluation by inter-system rankingCode1
Are self-explanations from Large Language Models faithful?Code1
Model Editing Harms General Abilities of Large Language Models: Regularization to the RescueCode1
Building Efficient Universal Classifiers with Natural Language InferenceCode1
Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language ModelsCode1
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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