research
∙
09/19/2023
Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval
Open-domain table question answering aims to provide answers to a questi...
share
research
∙
08/16/2023
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation
Large language models (LLMs) have been widely used in various applicatio...
research
∙
05/22/2023
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination
As ChatGPT and GPT-4 spearhead the development of Large Language Models ...
research
∙
11/20/2022
SeDR: Segment Representation Learning for Long Documents Dense Retrieval
Recently, Dense Retrieval (DR) has become a promising solution to docume...
research
∙
11/06/2022
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates
Calibration strengthens the trustworthiness of black-box models by produ...
research
∙
11/06/2022
Prompt-based Text Entailment for Low-Resource Named Entity Recognition
Pre-trained Language Models (PLMs) have been applied in NLP tasks and ac...
research
∙
10/31/2022
FusionFormer: Fusing Operations in Transformer for Efficient Streaming Speech Recognition
The recently proposed Conformer architecture which combines convolution ...
research
∙
07/12/2022
A Survey on Table Question Answering: Recent Advances
Table Question Answering (Table QA) refers to providing precise answers ...
research
∙
12/20/2021
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation
Automatic diagnosis has attracted increasing attention but remains chall...
research
∙
12/20/2021
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction
Recent works have shown explainability and robustness are two crucial in...
research
∙
11/17/2021
Data-driven method to learn the most probable transition pathway and stochastic differential equations
Transition phenomena between metastable states play an important role in...
research
∙
03/27/2021
You Can Do Better! If You Elaborate the Reason When Making Prediction
Neural predictive models have achieved groundbreaking performance improv...
research
∙
03/08/2021
Unconditionally optimal convergence of an energy-conserving and linearly implicit scheme for nonlinear wave equations
In this paper, we present and analyze an energy-conserving and linearly ...
research
∙
01/12/2021
Sharp pointwise-in-time error estimate of L1 scheme for nonlinear subdiffusion equations
An essential feature of the subdiffusion equations with the α-order time...
research
∙
10/15/2020
Integrating Coarse Granularity Part-level Features with Supervised Global-level Features for Person Re-identification
Holistic person re-identification (Re-ID) and partial person re-identifi...
research
∙
12/01/2019
Integrate Image Representation to Text Model on Sentence Level: a Semi-supervised Framework
Integrating visual features has been proved useful in language represent...
research
∙
05/18/2019
