Papers
1,643 papers found
Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding
Xinyue Liang, Jiawei Li, Yizhe Yang et al.
BITS Pilani at SemEval-2024 Task 10: Fine-tuning BERT and Llama 2 for Emotion Recognition in Conversation
Dilip Venkatesh, Pasunti Prasanjith, Yashvardhan Sharma
BITS Pilani at SemEval-2024 Task 1: Using text-embedding-3-large and LaBSE embeddings for Semantic Textual Relatedness
Dilip Venkatesh, Sundaresan Raman
BITS Pilani at SemEval-2024 Task 9: Prompt Engineering with GPT-4 for Solving Brainteasers
Dilip Venkatesh, Yashvardhan Sharma
Bridging Numerical Reasoning and Headline Generation for Enhanced Language Models
Vaishnavi R, Srimathi T, Aarthi S et al.
CAILMD-23 at SemEval-2024 Task 1: Multilingual Evaluation of Semantic Textual Relatedness
Srushti Sonavane, Sharvi Endait, Ridhima Sinare et al.
Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models
Vishruth Veerendranath, Vishwa Shah, Kshitish Ghate
CaresAI at SemEval-2024 Task 2: Improving Natural Language Inference in Clinical Trial Data using Model Ensemble and Data Explanation
Reem Abdel-salam, Mary Adewunmi, Mercy Akinwale
Challenges at SemEval 2024 Task 7: Contrastive Learning Approach on Numeral-Aware Language Generation
Ali Zhunis, Hao-yun Chuang
CLaC at SemEval-2024 Task 2: Faithful Clinical Trial Inference
Jennifer Marks, Mohammadreza Davari, Leila Kosseim
CLaC at SemEval-2024 Task 4: Decoding Persuasion in Memes – An Ensemble of Language Models with Paraphrase Augmentation
Kota Shamanth Ramanath Nayak, Leila Kosseim
CLTeam1 at SemEval-2024 Task 10: Large Language Model based ensemble for Emotion Detection in Hinglish
Ankit Vaidya, Aditya Gokhale, Arnav Desai et al.
CLULab-UofA at SemEval-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text Classification
Mohammadhossein Rezaei, Yeaeun Kwon, Reza Sanayei et al.
ClusterCore at SemEval-2024 Task 7: Few Shot Prompting With Large Language Models for Numeral-Aware Headline Generation
Monika Singh, Sujit Kumar, Tanveen et al.
CoT-based Data Augmentation Strategy for Persuasion Techniques Detection
Dailin Li, Chuhan Wang, Xin Zou et al.
CRCL at SemEval-2024 Task 2: Simple prompt optimizations
Clement Brutti-mairesse, Loic Verlingue
CTYUN-AI at SemEval-2024 Task 7: Boosting Numerical Understanding with Limited Data Through Effective Data Alignment
Yuming Fan, Dongming Yang, Xu He
CUNLP at SemEval-2024 Task 8: Classify Human and AI Generated Text
Pranjal Aggarwal, Deepanshu Sachdeva
CVcoders on Semeval-2024 Task 4
Fatemezahra Bakhshande, Mahdieh Naderi
DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning
Suyash Vardhan Mathur, Akshett Jindal, Manish Shrivastava