b'Qian Liu'

research

∙ 05/20/2023

Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination

In this work, we investigate a more realistic unsupervised multimodal ma...

0 Hao Fei, et al. ∙

research

∙ 05/18/2023

Reasoning Implicit Sentiment with Chain-of-Thought Prompting

While sentiment analysis systems try to determine the sentiment polariti...

0 Hao Fei, et al. ∙

research

∙ 05/18/2023

Joint BS Mode Selection and Beamforming Design for Cooperative Cell-Free ISAC Networks

Owing to the promising ability of saving hardware cost and spectrum reso...

0 Sifan Liu, et al. ∙

research

∙ 05/16/2023

Generative Table Pre-training Empowers Models for Tabular Prediction

Recently, the topic of table pre-training has attracted considerable res...

0 Tianping Zhang, et al. ∙

research

∙ 05/11/2023

Active Retrieval Augmented Generation

Despite the remarkable ability of large language models (LMs) to compreh...

0 Zhengbao Jiang, et al. ∙

research

∙ 05/09/2023

StarCoder: may the source be with you!

The BigCode community, an open-scientific collaboration working on the r...

12 Raymond Li, et al. ∙

research

∙ 04/13/2023

Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline

Edge computing solutions that enable the extraction of high level inform...

0 Ole Richter, et al. ∙

research

∙ 02/09/2023

Bag of Tricks for Training Data Extraction from Language Models

With the advance of language models, privacy protection is receiving mor...

0 Weichen Yu, et al. ∙

research

∙ 01/09/2023

SantaCoder: don't reach for the stars!

The BigCode project is an open-scientific collaboration working on the r...

1 Loubna Ben Allal, et al. ∙

research

∙ 10/26/2022

Learning on Large-scale Text-attributed Graphs via Variational Inference

This paper studies learning on text-attributed graphs (TAGs), where each...

0 Jianan Zhao, et al. ∙

research

∙ 10/11/2022

Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA

Retrieving evidences from tabular and textual resources is essential for...

0 Junjie Huang, et al. ∙

research

∙ 03/07/2022

Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models

Recently the prompt-tuning paradigm has attracted significant attention....

0 Shengnan An, et al. ∙

research

∙ 01/27/2022

Reasoning Like Program Executors

Reasoning over natural language is a long-standing goal for the research...

0 Xinyu Pi, et al. ∙

research

∙ 01/20/2022

LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training

Language-based environment manipulation requires agents to manipulate th...

0 Qi Shi, et al. ∙

research

∙ 12/27/2021

Image Edge Restoring Filter

In computer vision, image processing and computer graphics, image smooth...

0 Qian Liu, et al. ∙

research

∙ 09/22/2021

Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing

Recent years pretrained language models (PLMs) hit a success on several ...

0 Qian Liu, et al. ∙

research

∙ 07/16/2021

TAPEX: Table Pre-training via Learning a Neural SQL Executor

Recent years pre-trained language models hit a success on modeling natur...

0 Qian Liu, et al. ∙

research

∙ 07/14/2021

Learning Algebraic Recombination for Compositional Generalization

Neural sequence models exhibit limited compositional generalization abil...

0 Chenyao Liu, et al. ∙

research

∙ 04/20/2021

Deep Learning based Efficient Symbol-Level Precoding Design for MU-MISO Systems

The recently emerged symbol-level precoding (SLP) technique has been reg...

0 Zhu Bo, et al. ∙

research

∙ 11/09/2020

"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL

In Natural Language Interfaces to Databases systems, the text-to-SQL tec...

0 Yuntao Li, et al. ∙

research

∙ 09/28/2020

Incomplete Utterance Rewriting as Semantic Segmentation

Recent years the task of incomplete utterance rewriting has raised a lar...

0 Qian Liu, et al. ∙

research

∙ 06/18/2020

Compositional Generalization by Learning Analytical Expressions

Compositional generalization is a basic but essential intellective capab...

0 Qian Liu, et al. ∙

research

∙ 06/02/2020

A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension

Pre-trained models have brought significant improvements to many NLP tas...

0 Jie Cai, et al. ∙

research

∙ 04/11/2020

You Impress Me: Dialogue Generation via Mutual Persona Perception

Despite the continuing efforts to improve the engagingness and consisten...

6 Qian Liu, et al. ∙

research

∙ 02/08/2020

CTM: Collaborative Temporal Modeling for Action Recognition

With the rapid development of digital multimedia, video understanding ha...

1 Qian Liu, et al. ∙

research

∙ 02/07/2020

iqiyi Submission to ActivityNet Challenge 2019 Kinetics-700 challenge: Hierarchical Group-wise Attention

In this report, the method for the iqiyi submission to the task of Activ...

10 Qian Liu, et al. ∙

research

∙ 02/03/2020

How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context

Recently semantic parsing in context has received a considerable attenti...

0 Qian Liu, et al. ∙

research

∙ 12/03/2019

Optimizing the energy consumption of spiking neural networks for neuromorphic applications

In the last few years, spiking neural networks have been demonstrated to...

0 Martino Sorbaro, et al. ∙

research

∙ 09/19/2019

A Split-and-Recombine Approach for Follow-up Query Analysis

Context-dependent semantic parsing has proven to be an important yet cha...

5 Qian Liu, et al. ∙

research

∙ 01/24/2019

FANDA: A Novel Approach to Perform Follow-up Query Analysis

Recent work on Natural Language Interfaces to Databases (NLIDB) has attr...

8 Qian Liu, et al. ∙

research

∙ 12/12/2018

A Hardware-Efficient Hybrid Beamforming Solution for mmWave MIMO Systems

In millimeter wave (mmWave) communication systems, existing hybrid beamf...

0 Ming Li, et al. ∙

research

∙ 03/31/2017

Noisy Softplus: an activation function that enables SNNs to be trained as ANNs

We extended the work of proposed activation function, Noisy Softplus, to...

0 Qian Liu, et al. ∙

research

∙ 07/11/2014

Biclustering Via Sparse Clustering

In many situations it is desirable to identify clusters that differ with...

0 Qian Liu, et al. ∙

Qian Liu

Featured Co-authors