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← Resources & Methods
Natural Language Processing
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Resources & Methods
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Large Language Models
9,067 papers
Papers per year
2010: 1
2013: 1
2017: 1
2018: 14
2019: 129
2020: 336
2021: 463
2022: 582
2023: 1165
2024: 2492
2025: 3325
2026: 558
Papers
BITS Pilani at SemEval-2024 Task 9: Prompt Engineering with GPT-4 for Solving Brainteasers
NAACL 2024
TECHSSN1 at SemEval-2024 Task 10: Emotion Classification in Hindi-English Code-Mixed Dialogue using Transformer-based Models
NAACL 2024
SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection
NAACL 2024
SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection
NAACL 2024
scaLAR SemEval-2024 Task 1: Semantic Textual Relatednes for English
NAACL 2024
eagerlearners at SemEval2024 Task 5: The Legal Argument Reasoning Task in Civil Procedure
NAACL 2024
TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques
NAACL 2024
Infrrd.ai at SemEval-2024 Task 7: RAG-based end-to-end training to generate headlines and numbers
NAACL 2024
YNU-HPCC at SemEval-2024 Task 7: Instruction Fine-tuning Models for Numerical Understanding and Generation
NAACL 2024
SEME at SemEval-2024 Task 2: Comparing Masked and Generative Language Models on Natural Language Inference for Clinical Trials
NAACL 2024
ROSHA at SemEval-2024 Task 9: BRAINTEASER A Novel Task Defying Common Sense
NAACL 2024
DUTh at SemEval-2024 Task 6: Comparing Pre-trained Models on Sentence Similarity Evaluation for Detecting of Hallucinations and Related Observable Overgeneration Mistakes
NAACL 2024
DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning
NAACL 2024
Lisbon Computational Linguists at SemEval-2024 Task 2: Using a Mistral-7B Model and Data Augmentation
NAACL 2024
IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials
NAACL 2024
Saama Technologies at SemEval-2024 Task 2: Three-module System for NLI4CT Enhanced by LLM-generated Intermediate Labels
NAACL 2024
Compos Mentis at SemEval2024 Task6: A Multi-Faceted Role-based Large Language Model Ensemble to Detect Hallucination
NAACL 2024
NYCU-NLP at SemEval-2024 Task 2: Aggregating Large Language Models in Biomedical Natural Language Inference for Clinical Trials
NAACL 2024
Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models
NAACL 2024
Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back
NAACL 2024
MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity
NAACL 2024
NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations
NAACL 2024
TueCICL at SemEval-2024 Task 8: Resource-efficient approaches for machine-generated text detection
NAACL 2024
GeminiPro at SemEval-2024 Task 9: BrainTeaser on Gemini
NAACL 2024
Archimedes-AUEB at SemEval-2024 Task 5: LLM explains Civil Procedure
NAACL 2024
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