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...
share
research
∙
06/22/2023
Generative Multimodal Entity Linking
Multimodal Entity Linking (MEL) is the task of mapping mentions with mul...
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
∙
05/08/2023
A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues
Conditional inference on joint textual and visual clues is a multi-modal...
research
∙
05/05/2023
LMEye: An Interactive Perception Network for Large Language Models
Training a Large Visual Language Model (LVLM) from scratch, like GPT-4, ...
research
∙
05/03/2023
A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text
Pretrained Vision-Language Models (VLMs) have achieved remarkable perfor...
research
∙
12/16/2022
Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation
Multi-modal and multi-hop question answering aims to answer a question b...
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
∙
10/30/2022
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks
Access to external knowledge is essential for many natural language proc...
research
∙
07/26/2022
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark
Modern Entity Linking (EL) systems entrench a popularity bias, yet there...
research
∙
07/23/2022
Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations
Visual Entailment with natural language explanations aims to infer the r...
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
∙
06/08/2021
Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning
Graph convolutional network (GCN) has become popular in various natural ...
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
∙
04/16/2020
Neural Data-to-Text Generation with Dynamic Content Planning
Neural data-to-text generation models have achieved significant advancem...
research
∙
04/07/2020
Neural Image Inpainting Guided with Descriptive Text
Neural image inpainting has achieved promising performance in generating...
research
∙
04/20/2018
Sentence Simplification with Memory-Augmented Neural Networks
Sentence simplification aims to simplify the content and structure of co...
research
∙
04/19/2018
Learning to Extract Coherent Summary via Deep Reinforcement Learning
Coherence plays a critical role in producing a high-quality summary from...
research
∙
10/13/2016
Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition
In this paper, we propose a novel model, named Stroke Sequence-dependent...
research
∙
06/22/2015
Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering
In this paper, the answer selection problem in community question answer...
research
∙
06/19/2015
LCSTS: A Large Scale Chinese Short Text Summarization Dataset
Automatic text summarization is widely regarded as the highly difficult ...
research
∙
03/11/2015
Convolutional Neural Network Architectures for Matching Natural Language Sentences
Semantic matching is of central importance to many natural language task...
research
∙
03/09/2015
