research
∙
08/16/2023
MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation
Dialogue systems for Automatic Differential Diagnosis (ADD) have a wide ...
share
research
∙
06/01/2023
End-to-end Knowledge Retrieval with Multi-modal Queries
We investigate knowledge retrieval with multi-modal queries, i.e. querie...
research
∙
05/23/2023
Dr.ICL: Demonstration-Retrieved In-context Learning
In-context learning (ICL), teaching a large language model (LLM) to perf...
research
∙
05/20/2023
Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?
Pre-training on large corpora of text enables the language models to acq...
research
∙
11/23/2022
Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?
Recent state-of-the-art open-domain QA models are typically based on a t...
research
∙
11/11/2022
Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach
The electrification of shared mobility has become popular across the glo...
research
∙
10/04/2022
A Study on the Efficiency and Generalization of Light Hybrid Retrievers
Existing hybrid retrievers which integrate sparse and dense retrievers, ...
research
∙
07/27/2022
Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection
In this paper, we present the Multi-Forgery Detection Challenge held con...
research
∙
07/06/2022
BioTABQA: Instruction Learning for Biomedical Table Question Answering
Table Question Answering (TQA) is an important but under-explored task. ...
research
∙
05/31/2022
Neural Retriever and Go Beyond: A Thesis Proposal
Information Retriever (IR) aims to find the relevant documents (e.g. sni...
research
∙
04/15/2022
In-BoXBART: Get Instructions into Biomedical Multi-Task Learning
Single-task models have proven pivotal in solving specific tasks; howeve...
research
∙
03/25/2022
Improving Contrastive Learning with Model Augmentation
The sequential recommendation aims at predicting the next items in user ...
research
∙
03/15/2022
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
Data modification, either via additional training datasets, data augment...
research
∙
03/14/2022
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering
While both extractive and generative readers have been successfully appl...
research
∙
01/19/2022
Improving Biomedical Information Retrieval with Neural Retrievers
Information retrieval (IR) is essential in search engines and dialogue s...
research
∙
11/03/2021
Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search
Shared e-mobility services have been widely tested and piloted in cities...
research
∙
09/22/2021
A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context
In the open question answering (OBQA) task, how to select the relevant i...
research
∙
08/24/2021
Deep Signature FBSDE Algorithm
We propose a deep signature/log-signature FBSDE algorithm to solve forwa...
research
∙
03/28/2021
'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) Tasks
GQA (Hudson and Manning, 2019) is a dataset for real-world visual reason...
research
∙
02/25/2021
CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results
As facial interaction systems are prevalently deployed, security and rel...
research
∙
12/17/2020
Can Transformers Reason About Effects of Actions?
A recent work has shown that transformers are able to "reason" with fact...
research
∙
05/28/2020
Approximate Message Passing with Unitary Transformation for Robust Bilinear Recovery
Recently, several promising approximate message passing (AMP) based algo...
research
∙
09/18/2019
Strong Equivalence for LPMLN Programs
LPMLN is a probabilistic extension of answer set programs with the weigh...
research
∙
08/17/2019
Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation
Sparse Bayesian learning (SBL) can be implemented with low complexity ba...
research
∙
05/18/2019
Strong equivalence for LP^MLN programs
Strong equivalence is a well-studied and important concept in answer set...
research
∙
03/10/2019