research
∙
09/20/2023
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables
Question answering on tabular data (a.k.a TableQA), which aims at genera...
share
research
∙
09/15/2023
Investigating Answerability of LLMs for Long-Form Question Answering
As we embark on a new era of LLMs, it becomes increasingly crucial to un...
research
∙
09/15/2023
FedJudge: Federated Legal Large Language Model
Large Language Models (LLMs) have gained prominence in the field of Lega...
research
∙
08/24/2023
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?
The multimedia community has shown a significant interest in perceiving ...
research
∙
08/24/2023
Exploring the Integration Strategies of Retriever and Large Language Models
The integration of retrieved passages and large language models (LLMs), ...
research
∙
08/23/2023
Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation
Studies on semi-supervised medical image segmentation (SSMIS) have seen ...
research
∙
08/09/2023
Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning
Recent advanced methods in Natural Language Understanding for Task-orien...
research
∙
08/06/2023
System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator
In this work, we study dialogue scenarios that start from chit-chat but ...
research
∙
07/19/2023
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
Despite advancements in conversational AI, language models encounter cha...
research
∙
07/13/2023
Choice Models and Permutation Invariance
Choice Modeling is at the core of many economics, operations, and market...
research
∙
07/04/2023
Unified Conversational Models with System-Initiated Transitions between Chit-Chat and Task-Oriented Dialogues
Spoken dialogue systems (SDSs) have been separately developed under two ...
research
∙
05/12/2023
Answering Complex Questions over Text by Hybrid Question Parsing and Execution
The dominant paradigm of textual question answering systems is based on ...
research
∙
04/18/2023
MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning
Over the past few decades, multimodal emotion recognition has made remar...
research
∙
04/09/2023
Timestamps as Prompts for Geography-Aware Location Recommendation
Location recommendation plays a vital role in improving users' travel ex...
research
∙
03/22/2023
End-to-End Personalized Next Location Recommendation via Contrastive User Preference Modeling
Predicting the next location is a highly valuable and common need in man...
research
∙
03/18/2023
Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-driven Approach
Just noticeable difference (JND) refers to the maximum visual change tha...
research
∙
12/17/2022
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation
Dense retrievers have made significant strides in obtaining state-of-the...
research
∙
11/14/2022
Grafting Pre-trained Models for Multimodal Headline Generation
Multimodal headline utilizes both video frames and transcripts to genera...
research
∙
11/09/2022
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database
Parsing natural language questions into executable logical forms is a us...
research
∙
11/09/2022
Unsupervised Extractive Summarization with Heterogeneous Graph Embeddings for Chinese Document
In the scenario of unsupervised extractive summarization, learning high-...
research
∙
09/29/2022
ConceptNet infused DialoGPT for Underlying Commonsense Understanding and Reasoning in Dialogue Response Generation
The pre-trained conversational models still fail to capture the implicit...
research
∙
07/04/2022
OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification
Scene segmentation and classification (SSC) serve as a critical step tow...
research
∙
06/06/2022
Contrastive Graph Multimodal Model for Text Classification in Videos
The extraction of text information in videos serves as a critical step t...
research
∙
03/23/2022
UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection
Finding relevant moments and highlights in videos according to natural l...
research
∙
03/10/2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack
Defense models against adversarial attacks have grown significantly, but...
research
∙
03/08/2022
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks
Massive open online courses (MOOCs), which provide a large-scale interac...
research
∙
03/01/2022
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots
Few-shot table-to-text generation is a task of composing fluent and fait...
research
∙
11/28/2021
Context Matters in Semantically Controlled Language Generation for Task-oriented Dialogue Systems
This work combines information about the dialogue history encoded by pre...
research
∙
11/23/2021
Multi-Modality Microscopy Image Style Transfer for Nuclei Segmentation
Annotating microscopy images for nuclei segmentation is laborious and ti...
research
∙
11/22/2021
CATNet: Context AggregaTion Network for Instance Segmentation in Remote Sensing Images
The task of instance segmentation in remote sensing images, aiming at pe...
research
∙
11/06/2021
A Probit Tensor Factorization Model For Relational Learning
With the proliferation of knowledge graphs, modeling data with complex m...
research
∙
10/28/2021
Dense Hierarchical Retrieval for Open-Domain Question Answering
Dense neural text retrieval has achieved promising results on open-domai...
research
∙
10/15/2021
Adversarial Attacks on ML Defense Models Competition
Due to the vulnerability of deep neural networks (DNNs) to adversarial e...
research
∙
10/12/2021
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization
To capture the semantic graph structure from raw text, most existing sum...
research
∙
09/07/2021
Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge
One challenge for dialogue agents is to recognize feelings of the conver...
research
∙
09/07/2021
Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues using BERT
This paper presents an automatic method to evaluate the naturalness of n...
research
∙
08/06/2021
From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data
Single image dehazing is a challenging task, for which the domain shift ...
research
∙
06/08/2021
Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection
Pretrained Transformer-based models were reported to be robust in intent...
research
∙
01/22/2021
Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation
The non-autoregressive models have boosted the efficiency of neural mach...
research
∙
10/19/2020
Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning
Open attribute value extraction for emerging entities is an important bu...
research
∙
09/26/2020
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning
Generative commonsense reasoning which aims to empower machines to gener...
research
∙
08/14/2020
ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection
We consider the problem of Human-Object Interaction (HOI) Detection, whi...
research
∙
08/06/2020
Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering
Healthcare question answering assistance aims to provide customer health...
research
∙
05/28/2020
The Impact of the Physical Layer on the Performance of Concurrent Transmissions
The popularity of concurrent transmissions (CT) has soared after recent ...
research
∙
05/11/2020
Commonsense Evidence Generation and Injection in Reading Comprehension
Human tackle reading comprehension not only based on the given context i...
research
∙
02/05/2020
Fine-Grained Urban Flow Inference
The ubiquitous deployment of monitoring devices in urban flow monitoring...
research
∙
12/31/2019
Bas-relief Generation from Point Clouds Based on Normal Space Compression with Real-time Adjustment on CPU
Bas-relief generation based on 3d models is a hot topic in computer grap...
research
∙
10/21/2019
Orthogonal Nonnegative Tucker Decomposition
In this paper, we study the nonnegative tensor data and propose an ortho...
research
∙
10/11/2019
Point cloud ridge-valley feature enhancement based on position and normal guidance
Ridge-valley features are important elements of point clouds, as they co...
research
∙
08/13/2019
