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Large Language Models

6405 directly classified papers

Papers per year

Papers

Team Innovative at SemEval-2024 Task 8: Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detection SEMEVAL 2024
TU Wien at SemEval-2024 Task 6: Unifying Model-Agnostic and Model-Aware Techniques for Hallucination Detection SEMEVAL 2024
DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning SEMEVAL 2024
IASBS at SemEval-2024 Task 10: Delving into Emotion Discovery and Reasoning in Code-Mixed Conversations SEMEVAL 2024
Deja Vu at SemEval 2024 Task 9: A Comparative Study of Advanced Language Models for Commonsense Reasoning SEMEVAL 2024
FtG-CoT at SemEval-2024 Task 9: Solving Sentence Puzzles Using Fine-Tuned Language Models and Zero-Shot CoT Prompting SEMEVAL 2024
NumDecoders at SemEval-2024 Task 7: FlanT5 and GPT enhanced with CoT for Numerical Reasoning SEMEVAL 2024
FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical Domain SEMEVAL 2024
Lisbon Computational Linguists at SemEval-2024 Task 2: Using a Mistral-7B Model and Data Augmentation SEMEVAL 2024
HaRMoNEE at SemEval-2024 Task 6: Tuning-based Approaches to Hallucination Recognition SEMEVAL 2024
MasonTigers at SemEval-2024 Task 9: Solving Puzzles with an Ensemble of Chain-of-Thought Prompts SEMEVAL 2024
MasonTigers at SemEval-2024 Task 8: Performance Analysis of Transformer-based Models on Machine-Generated Text Detection SEMEVAL 2024
RiddleMasters at SemEval-2024 Task 9: Comparing Instruction Fine-tuning with Zero-Shot Approaches SEMEVAL 2024
IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials SEMEVAL 2024
GPT4All: An Ecosystem of Open Source Compressed Language Models EMNLP 2023
Exploring Prompting Large Language Models as Explainable Metrics IJCNLP 2023
Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation IJCNLP 2023
GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models IJCNLP 2023
Identifying ESG Impact with Key Information IJCNLP 2023
GPT-based Solution for ESG Impact Type Identification IJCNLP 2023
ESG Impact Type Classification: Leveraging Strategic Prompt Engineering and LLM Fine-Tuning IJCNLP 2023
PROTEGE: Prompt-based Diverse Question Generation from Web Articles EMNLP 2023
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions EMNLP 2023
HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning EMNLP 2023
Decomposing Complex Queries for Tip-of-the-tongue Retrieval EMNLP 2023