no code implementations • 21 Mar 2024 • Yang Bai, Anthony Colas, Christan Grant, Daisy Zhe Wang
In recent research, contrastive learning has proven to be a highly effective method for representation learning and is widely used for dense retrieval.
no code implementations • 20 Mar 2024 • Yifan Wang, Haodi Ma, Daisy Zhe Wang
As a critical (or could even be the most important) step that significantly impacts the execution performance of the query plan, such analysis and attempts should not be missed.
no code implementations • 20 Feb 2024 • Yifan Wang, Vyom Pathak, Daisy Zhe Wang
In this paper, we propose Xling, a generic framework to build a learning-based metric space filter with any existing regression model, aiming at accurately predicting whether a query point has enough number of neighbors.
no code implementations • 12 Oct 2023 • Jayetri Bardhan, Kirk Roberts, Daisy Zhe Wang
Because of the differences in data format and modality, this differs greatly from other medical QA tasks that employ medical websites or scientific papers to retrieve answers, making it critical to research EHR question answering.
1 code implementation • 14 Aug 2023 • Anthony Colas, Haodi Ma, Xuanli He, Yang Bai, Daisy Zhe Wang
Knowledge Graph (KG)-to-Text Generation has seen recent improvements in generating fluent and informative sentences which describe a given KG.
no code implementations • 7 Aug 2023 • Haodi Ma, Anthony Colas, Yuejie Wang, Ali Sadeghian, Daisy Zhe Wang
Recent works in neural knowledge graph inference attempt to combine logic rules with knowledge graph embeddings to benefit from prior knowledge.
1 code implementation • 21 Jul 2023 • Yang Bai, Anthony Colas, Daisy Zhe Wang
The idea behind this is that contradictory claims are a strong indicator of misinformation that merits scrutiny by the appropriate authorities.
3 code implementations • 24 May 2023 • Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu
RAP on LLAMA-33B surpasses CoT on GPT-4 with 33% relative improvement in a plan generation setting.
1 code implementation • 6 Feb 2023 • Yifan Wang, Daisy Zhe Wang
In this paper, we propose LAF, a generic learned accelerator framework to speed up the original DBSCAN and the sampling-based variants of DBSCAN on high-dimensional data with angular distance metric.
no code implementations • 3 Jan 2023 • Haodi Ma, Daisy Zhe Wang
In this paper, we comprehensively survey previous attempts on such tasks in the form of a series of methods and applications.
no code implementations • 4 Dec 2022 • Yang Peng, Daisy Zhe Wang
Over the past few years, large knowledge bases have been constructed to store massive amounts of knowledge.
no code implementations • 14 Nov 2022 • Yang Peng, Daisy Zhe Wang
Over the past few years, large knowledge bases have been constructed to store massive amounts of knowledge.
1 code implementation • LREC 2022 • Jayetri Bardhan, Anthony Colas, Kirk Roberts, Daisy Zhe Wang
Our goal is to provide a benchmark dataset for multi-modal QA systems, and to open up new avenues of research in improving question answering over EHR structured data by using context from unstructured clinical data.
no code implementations • 2 May 2022 • Yifan Wang, Haodi Ma, Daisy Zhe Wang
As the basic unit of LIDER to index and search data, a core model includes an adapted recursive model index (RMI) and a dimension reduction component which consists of an extended SortingKeys-LSH (SK-LSH) and a key re-scaling module.
1 code implementation • COLING 2022 • Anthony Colas, Mehrdad Alvandipour, Daisy Zhe Wang
Recent improvements in KG-to-text generation are due to additional auxiliary pre-training tasks designed to give the fine-tune task a boost in performance.
Ranked #1 on KG-to-Text Generation on EventNarrative
1 code implementation • 30 Oct 2021 • Anthony Colas, Ali Sadeghian, Yue Wang, Daisy Zhe Wang
We also evaluate two types of baseline on EventNarrative: a graph-to-text specific model and two state-of-the-art language models, which previous work has shown to be adaptable to the knowledge graph-to-text domain.
Ranked #3 on KG-to-Text Generation on EventNarrative
no code implementations • 25 Sep 2021 • Yang Bai, Daisy Zhe Wang
Textual Question Answering (QA) aims to provide precise answers to user's questions in natural language using unstructured data.
no code implementations • 18 Mar 2021 • Ali Sadeghian, Mohammadreza Armandpour, Anthony Colas, Daisy Zhe Wang
In particular, the task of temporal link prediction.
2 code implementations • LREC 2020 • Anthony Colas, Seokhwan Kim, Franck Dernoncourt, Siddhesh Gupte, Daisy Zhe Wang, Doo Soon Kim
The results indicate that the task is challenging and call for the investigation of new algorithms.
1 code implementation • NeurIPS 2019 • Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang
Despite the importance of inductive link prediction, most previous works focused on transductive link prediction and cannot manage previously unseen entities.
Ranked #15 on Link Prediction on WN18RR
Inductive knowledge graph completion Inductive Link Prediction +1
1 code implementation • 11 Oct 2019 • Hyun Choi, Ali Sadeghian, Sergio Marconi, Ethan White, Daisy Zhe Wang
In this study tree species interaction and the response to climate in different ecological environments is observed by applying a joint species distribution model to different ecological domains in the United States.
Populations and Evolution
no code implementations • 30 Sep 2019 • Ali Sadeghian, Shervin Minaee, Ioannis Partalas, Xinxin Li, Daisy Zhe Wang, Brooke Cowan
We propose a neural network architecture for learning vector representations of hotels.
no code implementations • 20 Apr 2019 • Xiaofeng Zhou, Ali Sadeghian, Daisy Zhe Wang
To the best of our knowledge, our incremental rule mining system is the first that handles updates to web-scale knowledge bases.