1 citations · 4 across the 13 of their papers we have counts for
6 papers · 1 filter
Understanding Communication Failures in Multi-Agent LLM Systems
Priya Pitre, Jun Hou, Yi Fang +2
Multi-agent LLM systems aim to improve reasoning through debate, evidence sharing, and mutual correction, but interaction can also introduce failures that final accuracy alone cann…
DataWeave: Deploying Human-LLM Analytics for Exploratory Structured Data Analysis
Raquib Bin Yousuf, Harith Laxman, Vitaliy Shkremetko +10
Data journalism, the practice of using data analysis to surface newsworthy stories, depends increasingly on the ability of reporters and investigative journalists to uncover trends…
Adaptive Graph-of-Islands Evolution for Automatic Feature Engineering with LLMs
Sha Li, Naren Ramakrishnan
Automatic feature engineering (AutoFE) for tabular data requires discovering informative transformations from a large program space. Existing approaches suffer from three limitatio…
Experience as a Compass: Multi-agent RAG with Evolving Orchestration and Agent Prompts
Sha Li, Naren Ramakrishnan
Multi-agent Retrieval-Augmented Generation (RAG), wherein each agent takes on a specific role, supports hard queries that require multiple steps and sources, or complex reasoning.…
Exploring LLMs for Scientific Information Extraction Using The SciEx Framework
Sha Li, Ayush Sadekar, Nathan Self +10
Large language models (LLMs) are increasingly touted as powerful tools for automating scientific information extraction. However, existing methods and tools often struggle with the…
LLMs as Layout Designers: Enhanced Spatial Reasoning for Content-Aware Layout Generation
Sha Li, Stefano Petrangeli, Yu Shen +2
While Large Language Models (LLMs) have demonstrated impressive reasoning and planning abilities in textual domains and can effectively follow instructions for complex tasks, their…