Skip to content
conftrace_

Natural Language Inference

1,417 papers

2
127
236
'15
'20
'25

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