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 551–600 of 1961 papers

TitleStatusHype
Chinese Whispers: Cooperative Paraphrase Acquisition—0
ARC-NLP at PAN 2023: Transition-Focused Natural Language Inference for Writing Style Detection—0
A Lexicon-based Investigation of Research Issues in Japanese Factuality Analysis—0
ChatGPT-Crawler: Find out if ChatGPT really knows what it's talking about—0
ChatGPT as a Factual Inconsistency Evaluator for Text Summarization—0
ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation—0
Arabic Textual Entailment with Word Embeddings—0
Exploiting Language Models as a Source of Knowledge for Cognitive Agents—0
Exploiting Open IE for Deriving Multiple Premises Entailment Corpus—0
Addressing Limited Data for Textual Entailment Across Domains—0
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems—0
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level—0
Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference—0
CFILT-CORE: Semantic Textual Similarity using Universal Networking Language—0
A Probabilistic Lexical Model for Ranking Textual Inferences—0
ALERT: Adapting Language Models to Reasoning Tasks—0
Cell-aware Stacked LSTMs for Modeling Sentences—0
Celi: EDITS and Generic Text Pair Classification—0
APR: Architectural Pattern Recommender—0
Explicating the Implicit: Argument Detection Beyond Sentence Boundaries—0
Exploiting Image Generality for Lexical Entailment Detection—0
Exploiting Qualitative Information from Automatic Word Alignment for Cross-lingual NLP Tasks—0
CELI: An Experiment with Cross Language Textual Entailment—0
CECL: a New Baseline and a Non-Compositional Approach for the Sick Benchmark—0
Applying Deep Neural Network to Retrieve Relevant Civil Law Articles—0
ccg2lambda: A Compositional Semantics System—0
Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning—0
Causal Transformers: Improving the Robustness on Spurious Correlations—0
ANU-CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge—0
CASE 2021 Task 2: Zero-Shot Classification of Fine-Grained Sociopolitical Events with Transformer Models—0
A Latent Discriminative Model for Compositional Entailment Relation Recognition using Natural Logic—0
Explaining Mixtures of Sources in News Articles—0
Explaining Predictive Uncertainty by Looking Back at Model Explanations—0
Capturing Label Distribution: A Case Study in NLI—0
Capture Human Disagreement Distributions by Calibrated Networks for Natural Language Inference—0
Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference—0
Can We Automate the Analysis of Online Child Sexual Exploitation Discourse?—0
Can Pre-trained Models Really Generate Single-Step Textual Entailment?—0
Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling—0
A Large Resource of Patterns for Verbal Paraphrases—0
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction—0
Answering Science Exam Questions Using Query Reformulation with Background Knowledge—0
Addressing Class Imbalance for Improved Recognition of Implicit Discourse Relations—0
Explaining and Improving Model Behavior with k Nearest Neighbor Representations—0
Explanation based Bias Decoupling Regularization for Natural Language Inference—0
Exploiting Sentence Similarities for Better Alignments—0
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data—0
Answering Science Exam Questions Using Query Rewriting with Background Knowledge—0
A Joint Training Framework for Open-World Knowledge Graph Embeddings—0
Can Explanations Be Useful for Calibrating Black Box Models?—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