Summary of Automated Generation and Tagging Of Knowledge Components From Multiple-choice Questions, by Steven Moore et al.
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questionsby Steven Moore, Robin Schmucker, Tom…
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questionsby Steven Moore, Robin Schmucker, Tom…
Towards Ontology-Enhanced Representation Learning for Large Language Modelsby Francesco Ronzano, Jay NanavatiFirst submitted to arxiv…
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Studyby Sudeshna…
Learning from Litigation: Graphs and LLMs for Retrieval and Reasoning in eDiscoveryby Sounak Lahiri, Sumit…
Text-only Synthesis for Image Captioningby Qing Zhou, Junlin Huang, Qiang Li, Junyu Gao, Qi WangFirst…
VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projectionsby Roy Miles, Pradyumna Reddy, Ismail Elezi, Jiankang…
TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detectionby…
A Large Language Model-based multi-agent manufacturing system for intelligent shopfloorby Zhen Zhao, Dunbing Tang, Haihua…
Devil’s Advocate: Anticipatory Reflection for LLM Agentsby Haoyu Wang, Tao Li, Zhiwei Deng, Dan Roth,…
CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counselingby Chenhao Zhang,…