Natural Language Inference
1,417 papers
Papers per year
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2
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15
53
81
133
127
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236
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Papers
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs’ Pragmatics Capabilities
ACL 2024
PWEITINLP at SemEval-2024 Task 3: Two Step Emotion Cause Analysis
SemEval 2024
Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing
NeurIPS 2024
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
AISTATS 2024
Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation
AAAI 2024
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
EMNLP 2024
Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs
EMNLP 2024
Reasoning with Natural Language Explanations
EMNLP 2024
Reassess Summary Factual Inconsistency Detection with Large Language Model
ACL 2024
Reference-Free Estimation of the Quality of Clinical Notes Generated from Doctor-Patient Conversations
Interspeech 2024
ReproHum #0712-01: Reproducing Human Evaluation of Meaning Preservation in Paraphrase Generation
COLING 2024
ReproHum #1018-09: Reproducing Human Evaluations of Redundancy Errors in Data-To-Text Systems
COLING 2024
Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference
IJCAI 2024
Rethinking STS and NLI in Large Language Models
EACL 2024
RGAT at SemEval-2024 Task 2: Biomedical Natural Language Inference using Graph Attention Network
SemEval 2024
Saama Technologies at SemEval-2024 Task 2: Three-module System for NLI4CT Enhanced by LLM-generated Intermediate Labels
SemEval 2024
Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive Declarative Grammars
EMNLP 2024
SCITUNE: Aligning Large Language Models with Human-Curated Scientific Multimodal Instructions
EMNLP 2024
“Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
EMNLP 2024
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
EACL 2024
Semantists at LegalLens-2024: Data-efficient Training of LLM’s for Legal Violation Identification
EMNLP 2024
SEME at SemEval-2024 Task 2: Comparing Masked and Generative Language Models on Natural Language Inference for Clinical Trials
SemEval 2024
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials
SemEval 2024
SemEval-2024 Task 7: Numeral-Aware Language Understanding and Generation
SemEval 2024
SemEval Task 1: Semantic Textual Relatedness for African and Asian Languages
SemEval 2024