Summary of Llms As Method Actors: a Model For Prompt Engineering and Architecture, by Colin Doyle
LLMs as Method Actors: A Model for Prompt Engineering and Architectureby Colin DoyleFirst submitted to…
LLMs as Method Actors: A Model for Prompt Engineering and Architectureby Colin DoyleFirst submitted to…
Qwen2.5-32B: Leveraging Self-Consistent Tool-Integrated Reasoning for Bengali Mathematical Olympiad Problem Solvingby Saad Tahmid, Sourav SarkerFirst…
Selecting Between BERT and GPT for Text Classification in Political Science Researchby Yu Wang, Wen…
LLM Generated Distribution-Based Prediction of US Electoral Results, Part Iby Caleb Bradshaw, Caelen Miller, Sean…
PersianRAG: A Retrieval-Augmented Generation System for Persian Languageby Hossein Hosseini, Mohammad Sobhan Zare, Amir Hossein…
Graph-DPEP: Decomposed Plug and Ensemble Play for Few-Shot Document Relation Extraction with Graph-of-Thoughts Reasoningby Tao…
Ontology Population using LLMsby Sanaz Saki Norouzi, Adrita Barua, Antrea Christou, Nikita Gautam, Andrew Eells,…
Foundations and Recent Trends in Multimodal Mobile Agents: A Surveyby Biao Wu, Yanda Li, Meng…
Visual Fourier Prompt Tuningby Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu…
MolCap-Arena: A Comprehensive Captioning Benchmark on Language-Enhanced Molecular Property Predictionby Carl Edwards, Ziqing Lu, Ehsan…