research
∙
08/19/2023
GameEval: Evaluating LLMs on Conversational Games
The rapid advancements in large language models (LLMs) have presented ch...
share
research
∙
05/22/2023
Machine-Created Universal Language for Cross-lingual Transfer
There are two types of approaches to solving cross-lingual transfer: mul...
research
∙
05/19/2023
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast
Existing research has shown that a multilingual pre-trained language mod...
research
∙
04/20/2023
Learning to Program with Natural Language
Large Language Models (LLMs) have shown remarkable performance in variou...
research
∙
04/17/2023
Low-code LLM: Visual Programming over LLMs
Effectively utilizing LLMs for complex tasks is challenging, often invol...
research
∙
04/13/2023
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Evaluating the general abilities of foundation models to tackle human-le...
research
∙
03/29/2023
TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs
Artificial Intelligence (AI) has made incredible progress recently. On t...
research
∙
02/03/2023
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval
Recently multi-lingual pre-trained language models (PLM) such as mBERT a...
research
∙
06/07/2022
Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval
Recent research demonstrates the effectiveness of using pretrained langu...
research
∙
03/16/2022
Cross-Lingual Ability of Multilingual Masked Language Models: A Study of Language Structure
Multilingual pre-trained language models, such as mBERT and XLM-R, have ...
research
∙
03/16/2022
Multi-View Document Representation Learning for Open-Domain Dense Retrieval
Dense retrieval has achieved impressive advances in first-stage retrieva...
research
∙
09/26/2021
XLM-K: Improving Cross-Lingual Language Model Pre-Training with Multilingual Knowledge
Cross-lingual pre-training has achieved great successes using monolingua...
research
∙
03/13/2021
Simpson's Bias in NLP Training
In most machine learning tasks, we evaluate a model M on a given data po...
research
∙
09/16/2020
Tag and Correct: Question aware Open Information Extraction with Two-stage Decoding
Question Aware Open Information Extraction (Question aware Open IE) take...
research
∙
05/12/2020
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension
Natural Questions is a new challenging machine reading comprehension ben...
research
∙
04/29/2020
Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension
Multilingual pre-trained models could leverage the training data from a ...
research
∙
04/03/2020
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
In this paper, we introduce XGLUE, a new benchmark dataset to train larg...
research
∙
09/03/2019