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Natural Language Processing
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Understanding
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Natural Language Inference
177 directly classified papers
Papers per year
2016: 1
2017: 3
2018: 16
2019: 12
2020: 16
2021: 17
2022: 31
2023: 31
2024: 21
2025: 29
Papers
Multi-token Mask-filling and Implicit Discourse Relations
EMNLP 2025
Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions
EMNLP 2025
Can LLMs Detect Ambiguous Plural Reference? An Analysis of Split-Antecedent and Mereological Reference
EMNLP 2025
Conditional Dichotomy Quantification via Geometric Embedding
ACL 2025
Emotion Identification for French in Written Texts: Considering Modes of Emotion Expression as a Step Towards Text Complexity Analysis
ACL 2024
ImplicaTR: A Granular Dataset for Natural Language Inference and Pragmatic Reasoning in Turkish
ACL 2024
Reassess Summary Factual Inconsistency Detection with Large Language Model
ACL 2024
Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations
EACL 2024
Probing of pretrained multilingual models on the knowledge of discourse
EACL 2024
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
EMNLP 2024
Outcome-Constrained Large Language Models for Countering Hate Speech
EMNLP 2024
Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives
ACL 2024
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
AISTATS 2024
VideoGrounding-DINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding
CVPR 2024
Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference
IJCAI 2024
Exploring Defeasibility in Causal Reasoning
ACL 2024
Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models’ Understanding of Discourse Relations
ACL 2024
ECON: On the Detection and Resolution of Evidence Conflicts
EMNLP 2024
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models
EMNLP 2024
IIMAS at SemEval-2024 Task 9: A Comparative Approach for Brainteaser Solutions
SEMEVAL 2024
More Labels or Cases? Assessing Label Variation in Natural Language Inference
EACL 2024
Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons
COLING 2024
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
ACL 2024
Temporal Validity Change Prediction
ACL 2024
HalluMeasure: Fine-grained Hallucination Measurement Using Chain-of-Thought Reasoning
EMNLP 2024
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