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08/14/2023
OctoPack: Instruction Tuning Code Large Language Models
Finetuning large language models (LLMs) on instructions leads to vast pe...
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08/03/2023
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning
Textual graphs (TGs) are graphs whose nodes correspond to text (sentence...
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07/26/2023
Fast algorithms for k-submodular maximization subject to a matroid constraint
In this paper, we apply a Threshold-Decreasing Algorithm to maximize k-s...
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07/24/2023
Automotive Object Detection via Learning Sparse Events by Temporal Dynamics of Spiking Neurons
Event-based sensors, with their high temporal resolution (1us) and dynam...
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06/26/2023
Approximation algorithms for k-submodular maximization subject to a knapsack constraint
In this paper, we study the problem of maximizing k-submodular functions...
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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...
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05/18/2023
Reasoning Implicit Sentiment with Chain-of-Thought Prompting
While sentiment analysis systems try to determine the sentiment polariti...
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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...
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05/16/2023
Generative Table Pre-training Empowers Models for Tabular Prediction
Recently, the topic of table pre-training has attracted considerable res...
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05/11/2023
Active Retrieval Augmented Generation
Despite the remarkable ability of large language models (LMs) to compreh...
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05/09/2023
StarCoder: may the source be with you!
The BigCode community, an open-scientific collaboration working on the r...
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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...
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02/09/2023
Bag of Tricks for Training Data Extraction from Language Models
With the advance of language models, privacy protection is receiving mor...
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01/09/2023
SantaCoder: don't reach for the stars!
The BigCode project is an open-scientific collaboration working on the r...
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10/26/2022
Learning on Large-scale Text-attributed Graphs via Variational Inference
This paper studies learning on text-attributed graphs (TAGs), where each...
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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...
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03/07/2022
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models
Recently the prompt-tuning paradigm has attracted significant attention....
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01/27/2022
Reasoning Like Program Executors
Reasoning over natural language is a long-standing goal for the research...
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01/20/2022
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training
Language-based environment manipulation requires agents to manipulate th...
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12/27/2021
Image Edge Restoring Filter
In computer vision, image processing and computer graphics, image smooth...
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09/22/2021
Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing
Recent years pretrained language models (PLMs) hit a success on several ...
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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...
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07/14/2021
Learning Algebraic Recombination for Compositional Generalization
Neural sequence models exhibit limited compositional generalization abil...
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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...
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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...
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09/28/2020
Incomplete Utterance Rewriting as Semantic Segmentation
Recent years the task of incomplete utterance rewriting has raised a lar...
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06/18/2020
Compositional Generalization by Learning Analytical Expressions
Compositional generalization is a basic but essential intellective capab...
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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...
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04/11/2020
You Impress Me: Dialogue Generation via Mutual Persona Perception
Despite the continuing efforts to improve the engagingness and consisten...
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02/08/2020
CTM: Collaborative Temporal Modeling for Action Recognition
With the rapid development of digital multimedia, video understanding ha...
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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...
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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...
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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...
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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...
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01/24/2019
FANDA: A Novel Approach to Perform Follow-up Query Analysis
Recent work on Natural Language Interfaces to Databases (NLIDB) has attr...
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12/12/2018
A Hardware-Efficient Hybrid Beamforming Solution for mmWave MIMO Systems
In millimeter wave (mmWave) communication systems, existing hybrid beamf...
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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...
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07/11/2014
