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Large Language Models

9,067 papers

Papers per year

Papers

BITS Pilani at SemEval-2024 Task 10: Fine-tuning BERT and Llama 2 for Emotion Recognition in Conversation SEMEVAL 2024
Bridging Numerical Reasoning and Headline Generation for Enhanced Language Models SEMEVAL 2024
SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection SEMEVAL 2024
eagerlearners at SemEval2024 Task 5: The Legal Argument Reasoning Task in Civil Procedure SEMEVAL 2024
MAINDZ at SemEval-2024 Task 5: CLUEDO - Choosing Legal oUtcome by Explaining Decision through Oversight SEMEVAL 2024
iimasNLP at SemEval-2024 Task 8: Unveiling structure-aware language models for automatic generated text identification SEMEVAL 2024
FI Group at SemEval-2024 Task 8: A Syntactically Motivated Architecture for Multilingual Machine-Generated Text Detection SEMEVAL 2024
Team Innovative at SemEval-2024 Task 8: Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detection SEMEVAL 2024
UMBCLU at SemEval-2024 Task 1: Semantic Textual Relatedness with and without machine translation SEMEVAL 2024
Compos Mentis at SemEval2024 Task6: A Multi-Faceted Role-based Large Language Model Ensemble to Detect Hallucination SEMEVAL 2024
NYCU-NLP at SemEval-2024 Task 2: Aggregating Large Language Models in Biomedical Natural Language Inference for Clinical Trials SEMEVAL 2024
Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models SEMEVAL 2024
AISPACE at SemEval-2024 task 8: A Class-balanced Soft-voting System for Detecting Multi-generator Machine-generated Text SEMEVAL 2024
JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models SEMEVAL 2024
NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations SEMEVAL 2024
KnowComp at SemEval-2024 Task 9: Conceptualization-Augmented Prompting with Large Language Models for Lateral Reasoning SEMEVAL 2024
SU-FMI at SemEval-2024 Task 5: From BERT Fine-Tuning to LLM Prompt Engineering - Approaches in Legal Argument Reasoning SEMEVAL 2024
ClusterCore at SemEval-2024 Task 7: Few Shot Prompting With Large Language Models for Numeral-Aware Headline Generation SEMEVAL 2024
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers SEMEVAL 2024
Zero Shot is All You Need at SemEval-2024 Task 9: A study of State of the Art LLMs on Lateral Thinking Puzzles SEMEVAL 2024
Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4 SEMEVAL 2024
Quantization of Large Language Models with an Overdetermined Basis UAI 2024
PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI To Mitigate Image Demographic Biases WACV 2024
Multitask Vision-Language Prompt Tuning WACV 2024
Prompting Classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation WACV 2024