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Natural Language Processing
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Natural Language Inference
918 directly classified papers
Papers per year
2012: 1
2013: 1
2014: 1
2015: 2
2016: 12
2017: 40
2018: 55
2019: 103
2020: 87
2021: 73
2022: 155
2023: 121
2024: 116
2025: 149
2026: 2
Papers
A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models
EMNLP 2024
Outcome-Constrained Large Language Models for Countering Hate Speech
EMNLP 2024
Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive Declarative Grammars
EMNLP 2024
PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data
EMNLP 2024
LawBench: Benchmarking Legal Knowledge of Large Language Models
EMNLP 2024
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning
EMNLP 2024
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic
EMNLP 2024
MICap: A Unified Model for Identity-Aware Movie Descriptions
CVPR 2024
An Empirical Analysis on Large Language Models in Debate Evaluation
ACL 2024
Topic-Aware Causal Intervention for Counterfactual Detection
EMNLP 2024
The Automated Verification of Textual Claims (AVeriTeC) Shared Task
EMNLP 2024
MasonTigers at SemEval-2024 Task 1: An Ensemble Approach for Semantic Textual Relatedness
SEMEVAL 2024
Enhancing Legal Violation Identification with LLMs and Deep Learning Techniques: Achievements in the LegalLens 2024 Competition
EMNLP 2024
Atomic Inference for NLI with Generated Facts as Atoms
EMNLP 2024
“Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
EMNLP 2024
Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs
EMNLP 2024
TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report Analysis
SEMEVAL 2024
NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QA
SEMEVAL 2024
Generative Dictionary: Improving Language Learner Understanding with Contextual Definitions
EMNLP 2024
Are Large Language Models Good Statisticians?
NIPS 2024
LACIE: Listener-Aware Finetuning for Calibration in Large Language Models
NIPS 2024
BD-NLP at SemEval-2024 Task 2: Investigating Generative and Discriminative Models for Clinical Inference with Knowledge Augmentation
SEMEVAL 2024
AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
NIPS 2024
ContextCite: Attributing Model Generation to Context
NIPS 2024
MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness
SEMEVAL 2024
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