research
∙
09/04/2023
Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking
Chinese geographic re-ranking task aims to find the most relevant addres...
share
research
∙
08/22/2023
Four years of multi-modal odometry and mapping on the rail vehicles
Precise, seamless, and efficient train localization as well as long-term...
research
∙
07/12/2023
PolyLM: An Open Source Polyglot Large Language Model
Large language models (LLMs) demonstrate remarkable ability to comprehen...
research
∙
07/04/2023
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
Document understanding refers to automatically extract, analyze and comp...
research
∙
06/30/2023
Preference Ranking Optimization for Human Alignment
Large language models (LLMs) often contain misleading content, emphasizi...
research
∙
05/22/2023
Iterative Forward Tuning Boosts In-context Learning in Language Models
Large language models (LLMs) have exhibited an emergent in-context learn...
research
∙
04/14/2023
API-Bank: A Benchmark for Tool-Augmented LLMs
Recent research has shown that Large Language Models (LLMs) can utilize ...
research
∙
02/01/2023
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
Recent years have witnessed a big convergence of language, vision, and m...
research
∙
01/05/2023
Learning Trajectory-Word Alignments for Video-Language Tasks
Aligning objects with words plays a critical role in Image-Language BERT...
research
∙
10/19/2022
EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks
Data augmentation techniques have been used to improve the generalizatio...
research
∙
05/30/2022
Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems
In this paper, we present Duplex Conversation, a multi-turn, multimodal ...
research
∙
05/24/2022
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
Large-scale pretrained foundation models have been an emerging paradigm ...
research
∙
05/07/2022
Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction
Multimodal named entity recognition and relation extraction (MNER and MR...
research
∙
05/04/2022
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
Multimodal Knowledge Graphs (MKGs), which organize visual-text factual k...
research
∙
01/10/2022
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
We present a new open-source and extensible knowledge extraction toolkit...
research
∙
04/15/2021
AdaPrompt: Adaptive Prompt-based Finetuning for Relation Extraction
In this paper, we reformulate the relation extraction task as mask langu...
research
∙
12/03/2019
