Papers
267 papers found
JUST-KM at SemEval-2023 Task 7: Multi-evidence Natural Language Inference using Role-based Double Roberta-Large
Kefah Alissa, Malak Abdullah
JUST-KM at SemEval-2023 Task 7: Multi-evidence Natural Language Inference using Role-based Double Roberta-Large
Kefah Alissa, Malak Abdullah
Large Scale Retrieval for the LinkedIn Feed Using Causal Language Models
Sudarshan Srinivasa Ramanujam, Antonio Alonso, Saurabh Kataria et al.
Teaching Large Language Models to Regress Accurate Image Quality Scores Using Score Distribution
Zhiyuan You, Xin Cai, Jinjin Gu et al.
Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark
Fangjun Li, David C. Hogg, Anthony G. Cohn
Can Large Language Models Fix Data Annotation Errors? An Empirical Study Using Debatepedia for Query-Focused Text Summarization
Md Tahmid Rahman Laskar, Mizanur Rahman, Israt Jahan et al.
StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model
Zipeng Xu, Enver Sangineto, Nicu Sebe
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models
Shuo Yang, Chenchen Yuan, Yao Rong et al.
Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models
Yiben Yang, Ji-Ping Wang, Doug Downey
Enhancing Large Language Models for Document-Level Translation Post-Editing Using Monolingual Data
Zongyao Li, Zhiqiang Rao, Hengchao Shang et al.
Do Large Language Models Truly Grasp Addition? A Rule-Focused Diagnostic Using Two-Integer Arithmetic
Yang Yan, Yu Lu, Renjun Xu et al.
Can Large Language Models Outperform Non-Experts in Poetry Evaluation? A Comparative Study Using the Consensual Assessment Technique
Piotr Sawicki, Marek Grzes, Dan Brown et al.
Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset
Saeid Alavi Naeini, Raeid Saqur, Mozhgan Saeidi et al.
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
Haiquan Lu, Yefan Zhou, Shiwei Liu et al.
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
Naoki Egami, Musashi Hinck, Brandon Stewart et al.