Summary of Exploring Large Language Models For Feature Selection: a Data-centric Perspective, by Dawei Li et al.
Exploring Large Language Models for Feature Selection: A Data-centric Perspectiveby Dawei Li, Zhen Tan, Huan…
Exploring Large Language Models for Feature Selection: A Data-centric Perspectiveby Dawei Li, Zhen Tan, Huan…
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMsby Ronit Singhal, Pransh Patwa,…
SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understandingby Yazhou Zhang, Chunwang Zou, Zheng Lian,…
GoNoGo: An Efficient LLM-based Multi-Agent System for Streamlining Automotive Software Release Decision-Makingby Arsham Gholamzadeh Khoee,…
Mutually-Aware Feature Learning for Few-Shot Object Countingby Yerim Jeon, Subeen Lee, Jihwan Kim, Jae-Pil HeoFirst…
Large Language Models Prompting With Episodic Memoryby Dai Do, Quan Tran, Svetha Venkatesh, Hung LeFirst…
FLEURS-R: A Restored Multilingual Speech Corpus for Generation Tasksby Min Ma, Yuma Koizumi, Shigeki Karita,…
An analysis of HOI: using a training-free method with multimodal visual foundation models when only…
LLM-based MOFs Synthesis Condition Extraction using Few-Shot Demonstrationsby Lei Shi, Zhimeng Liu, Yi Yang, Weize…
Chain of Stance: Stance Detection with Large Language Modelsby Junxia Ma, Changjiang Wang, Hanwen Xing,…