Search Results for author:
Found 8 papers, 5 papers with code
Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
We present a Chain-of-Action (CoA) framework for multimodal and retrieval-augmented Question-Answering (QA).
SMUTF: Schema Matching Using Generative Tags and Hybrid Features
Recognizing the lack of extensive, publicly available datasets for SM, we have created and open-sourced the HDXSM dataset from the public humanitarian data.
SciAnnotate: A Tool for Integrating Weak Labeling Sources for Sequence Labeling
Compared to frequently used text annotation tools, our annotation tool allows for the development of weak labels in addition to providing a manual annotation experience.
MBGDT:Robust Mini-Batch Gradient Descent
In high dimensions, most machine learning method perform fragile even there are a little outliers.
IGN : Implicit Generative Networks
In this work, we build recent advances in distributional reinforcement learning to give a state-of-art distributional variant of the model based on the IQN.
IBERT: Idiom Cloze-style reading comprehension with Attention
In this paper, we proposed a BERT-based embedding Seq2Seq model that encodes idiomatic expressions and considers them in both global and local context.
Open-Ended Multi-Modal Relational Reasoning for Video Question Answering
In this paper, we introduce a robotic agent specifically designed to analyze external environments and address participants' questions.
Question Classification with Deep Contextualized Transformer
The latest work for Question and Answer problems is to use the Stanford Parse Tree.
