5 papers · 1 filter
AAAR-1.0: Assessing AI's Potential to Assist Research
Renze Lou, Hanzi Xu, Sijia Wang +15
Numerous studies have assessed the proficiency of AI systems, particularly large language models (LLMs), in facilitating everyday tasks such as email writing, question answering, a…
Graph-based Confidence Calibration for Large Language Models
Yukun Li, Sijia Wang, Lifu Huang +1
Reliable confidence estimation is essential for enhancing the trustworthiness of large language models (LLMs), especially in high-stakes scenarios. Despite its importance, accurate…
Advancing Chart Question Answering with Robust Chart Component Recognition
Hanwen Zheng, Sijia Wang, Chris Thomas +1
Chart comprehension presents significant challenges for machine learning models due to the diverse and intricate shapes of charts. Existing multimodal methods often overlook these…
Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction
Sijia Wang, Lifu Huang
We propose a multi-agent debate as optimization (DAO) system for event extraction, where the primary objective is to iteratively refine the large language models (LLMs) outputs thr…
Targeted Augmentation for Low-Resource Event Extraction
Sijia Wang, Lifu Huang
Addressing the challenge of low-resource information extraction remains an ongoing issue due to the inherent information scarcity within limited training examples. Existing data au…