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Natural Language Inference
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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:
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact Verification
ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation
Small Encoders Can Rival Large Decoders in Detecting Groundedness
GEMeX-ThinkVG: Towards Thinking with Visual Grounding in Medical VQA via Reinforcement Learning
Thunder-NUBench: A Benchmark for LLMs' Sentence-Level Negation Understanding
RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition
RMIT-ADM+S at the SIGIR 2025 LiveRAG Challenge
When Does Meaning Backfire? Investigating the Role of AMRs in NLI
FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design
CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning
Neural at ArchEHR-QA 2025: Agentic Prompt Optimization for Evidence-Grounded Clinical Question Answering
LLM-Driven Personalized Answer Generation and Evaluation
CC-RAG: Structured Multi-Hop Reasoning via Theme-Based Causal Graphs
A Survey on Large Language Models for Mathematical Reasoning
Explainable Compliance Detection with Multi-Hop Natural Language Inference on Assurance Case Structure
Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models
A MISMATCHED Benchmark for Scientific Natural Language Inference
ECoRAG: Evidentiality-guided Compression for Long Context RAG
CLATTER: Comprehensive Entailment Reasoning for Hallucination Detection
CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG
Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations
GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training
Drop Dropout on Single-Epoch Language Model Pretraining
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
LaMP-QA: A Benchmark for Personalized Long-form Question Answering
Preemptive Hallucination Reduction: An Input-Level Approach for Multimodal Language Model
LiTEx: A Linguistic Taxonomy of Explanations for Understanding Within-Label Variation in Natural Language Inference
DGRAG: Distributed Graph-based Retrieval-Augmented Generation in Edge-Cloud Systems
S2LPP: Small-to-Large Prompt Prediction across LLMs
Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning
The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems
O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering
Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports
DeFTX: Denoised Sparse Fine-Tuning for Zero-Shot Cross-Lingual Transfer
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