Search Results for author:
Found 14 papers, 4 papers with code
Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions
A long-term goal of AI research is to build intelligent agents that can communicate with humans in natural language, perceive the environment, and perform real-world tasks.
ChainCQG: Flow-Aware Conversational Question Generation
Conversational systems enable numerous valuable applications, and question-answering is an important component underlying many of these.
A Tailored Pre-Training Model for Task-Oriented Dialog Generation
The recent success of large pre-trained language models such as BERT and GPT-2 has suggested the effectiveness of incorporating language priors in downstream dialog generation tasks.
Data Annealing for Informal Language Understanding Tasks
We pro-pose a data annealing transfer learning procedure to bridge the performance gap on informal natural language understanding tasks.
Perception Score, A Learned Metric for Open-ended Text Generation Evaluation
Automatic evaluation for open-ended natural language generation tasks remains a challenge.
Memformer: A Memory-Augmented Transformer for Sequence Modeling
Transformers have reached remarkable success in sequence modeling.
PRAL: A Tailored Pre-Training Model for Task-Oriented Dialog Generation
However, the performance of pre-trained models on task-oriented dialog tasks is still under-explored.
ConQuest: Contextual Question Paraphrasing through Answer-Aware Synthetic Question Generation
In this paper, we present Conquest, a framework for generating synthetic datasets for contextual question paraphrasing.
JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents
Building a conversational embodied agent to execute real-life tasks has been a long-standing yet quite challenging research goal, as it requires effective human-agent communication, multi-modal understanding, long-range sequential decision making, etc.
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes
This paper discusses horizontal POD resources management in Alibaba Cloud Container Services with a newly deployed AI algorithm framework named AHPA -- the adaptive horizontal pod auto-scaling system.
R2H: Building Multimodal Navigation Helpers that Respond to Help Requests
Intelligent navigation-helper agents are critical as they can navigate users in unknown areas through environmental awareness and conversational ability, serving as potential accessibility tools for individuals with disabilities.
Muffin or Chihuahua? Challenging Large Vision-Language Models with Multipanel VQA
Our evaluation shows that questions in the MultipanelVQA benchmark pose significant challenges to the state-of-the-art Large Vision Language Models (LVLMs) tested, even though humans can attain approximately 99\% accuracy on these questions.
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks
Graph anomaly detection plays a vital role for identifying abnormal instances in complex networks.
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing
Compared with existing methods for personalized subject swapping, SwapAnything has three unique advantages: (1) precise control of arbitrary objects and parts rather than the main subject, (2) more faithful preservation of context pixels, (3) better adaptation of the personalized concept to the image.
