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 1651–1700 of 1961 papers

TitleStatusHype
Graph-Based Approach to Recognizing CST Relations in Polish Texts—0
Graph-based Retrieval for Claim Verification over Cross-Document Evidence—0
Graph Based Similarity Measures for Synonym Extraction from Parsed Text—0
GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework—0
Grounded in Context: Retrieval-Based Method for Hallucination Detection—0
haLF: Comparing a Pure CDSM Approach with a Standard Machine Learning System for RTE—0
Harmonization of conflicting medical opinions using argumentation protocols and textual entailment - a case study on Parkinson disease—0
HausaNLP at SemEval-2025 Task 3: Towards a Fine-Grained Model-Aware Hallucination Detection—0
Have Attention Heads in BERT Learned Constituency Grammar?—0
HDU: Cross-lingual Textual Entailment with SMT Features—0
Path-Based Contextualization of Knowledge Graphs for Textual Entailment—0
Hierarchical Multitask Learning Approach for BERT—0
HILDIF: Interactive Debugging of NLI Models Using Influence Functions—0
HindiLLM: Large Language Model for Hindi—0
How does Punctuation Affect Neural Models in Natural Language Inference—0
How do Negation and Modality Impact on Opinions?—0
How Entangled is Factuality and Deception in German?—0
How Fast can BERT Learn Simple Natural Language Inference?—0
How often are errors in natural language reasoning due to paraphrastic variability?—0
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks—0
How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis—0
How well do NLI models capture verb veridicality?—0
Hunting for Entailing Pairs in the Penn Discourse Treebank—0
Hybrid Emoji-Based Masked Language Models for Zero-Shot Abusive Language Detection—0
Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates—0
Hyperbolic sentence representations for solving Textual Entailment—0
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference—0
Hypothesis-only Biases in Large Language Model-Elicited Natural Language Inference—0
IBM MNLP IE at CASE 2021 Task 2: NLI Reranking for Zero-Shot Text Classification—0
ICT: A Translation based Method for Cross-lingual Textual Entailment—0
Identification of Entailment and Contradiction Relations between Natural Language Sentences: A Neurosymbolic Approach—0
Identifying Constant and Unique Relations by using Time-Series Text—0
Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy—0
Identifying hypernyms in distributional semantic spaces—0
Identifying science concepts and student misconceptions in an interactive essay writing tutor—0
Identifying Semantic Edit Intentions from Revisions in Wikipedia—0
Identifying Untyped Relation Mentions in a Corpus given an Ontology—0
I do not disagree: leveraging monolingual alignment to detect disagreement in dialogue—0
IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis—0
IITP-AI-NLP-ML@ CL-SciSumm 2020, CL-LaySumm 2020, LongSumm 2020—0
IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering—0
iKernels-Core: Tree Kernel Learning for Textual Similarity—0
Illinois-LH: A Denotational and Distributional Approach to Semantics—0
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search—0
"I'm Not Mad": Commonsense Implications of Negation and Contradiction—0
``I'm Not Mad'': Commonsense Implications of Negation and Contradiction—0
ImPaKT: A Dataset for Open-Schema Knowledge Base Construction—0
IMPLI: Investigating NLI Models' Performance on Figurative Language—0
IMPLI: Investigatng NLI Models' Performance on Figurative Language—0
Improved Beam Search for Hallucination Mitigation in Abstractive Summarization—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