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09/20/2023
DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
We propose DISC-LawLLM, an intelligent legal system utilizing large lang...
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09/17/2023
Fresh Multiple Access: A Unified Framework Based on Large Models and Mean-Field Approximations
Information freshness has attracted increasingly attention in the past d...
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09/13/2023
Reliability-Latency-Rate Tradeoff in Low-Latency Communications with Finite-Blocklength Coding
Low-latency communication plays an increasingly important role in delay-...
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08/29/2023
Continual Learning for Generative Retrieval over Dynamic Corpora
Generative retrieval (GR) directly predicts the identifiers of relevant ...
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08/28/2023
DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation
We propose DISC-MedLLM, a comprehensive solution that leverages Large La...
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08/24/2023
Inducing Causal Structure for Abstractive Text Summarization
The mainstream of data-driven abstractive summarization models tends to ...
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08/22/2023
L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations
First-stage retrieval is a critical task that aims to retrieve relevant ...
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08/19/2023
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method
Neural ranking models (NRMs) and dense retrieval (DR) models have given ...
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08/15/2023
SciRE-Solver: Accelerating Diffusion Models Sampling by Score-integrand Solver with Recursive Difference
Diffusion models (DMs) have made significant progress in the fields of i...
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08/10/2023
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning
Relevance modeling aims to locate desirable items for corresponding quer...
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08/09/2023
Physics-aware differentiable design of magnetically actuated kirigami for shape morphing
Shape morphing that transforms morphologies in response to stimuli is cr...
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08/08/2023
Explicit Topology Optimization of Conforming Voronoi Foams
Topology optimization is able to maximally leverage the high DOFs and me...
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07/27/2023
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models
Prompt tuning and adapter tuning have shown great potential in transferr...
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07/26/2023
Computational Approaches for Traditional Chinese Painting: From the "Six Principles of Painting" Perspective
Traditional Chinese Painting (TCP) is an invaluable cultural heritage re...
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07/18/2023
PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation
Generative text-to-image models have gained great popularity among the p...
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07/18/2023
Quantivine: A Visualization Approach for Large-scale Quantum Circuit Representation and Analysis
Quantum computing is a rapidly evolving field that enables exponential s...
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07/12/2023
Dynamic Prediction using Time-Dependent Cox Survival Neural Network
The target of dynamic prediction is to provide individualized risk predi...
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07/01/2023
Data-Driven Design for Metamaterials and Multiscale Systems: A Review
Metamaterials are artificial materials designed to exhibit effective mat...
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06/26/2023
Learning to Grasp Clothing Structural Regions for Garment Manipulation Tasks
When performing cloth-related tasks, such as garment hanging, it is ofte...
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06/25/2023
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
Learning Granger causality from event sequences is a challenging but ess...
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06/22/2023
On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective
Recently, we have witnessed generative retrieval increasingly gaining at...
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06/19/2023
Taming the Exponential Action Set: Sublinear Regret and Fast Convergence to Nash Equilibrium in Online Congestion Games
The congestion game is a powerful model that encompasses a range of engi...
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06/17/2023
Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs
Multi-modal knowledge graph (MKG) includes triplets that consist of enti...
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06/16/2023
Power-law Dynamic arising from machine learning
We study a kind of new SDE that was arisen from the research on optimiza...
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06/15/2023
ScrollTimes: Tracing the Provenance of Paintings as a Window into History
Digital humanities research has flourished due to the diverse artifacts ...
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06/13/2023
Multi-Fidelity Multi-Armed Bandits Revisited
We study the multi-fidelity multi-armed bandit (MF-MAB), an extension of...
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06/13/2023
Extending adjacency matrices to 3D with triangles
Social networks are the fabric of society and the subject of frequent vi...
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06/12/2023
Scalable Fair Influence Maximization
Given a graph G, a community structure 𝒞, and a budget k, the fair influ...
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06/05/2023
NFTVis: Visual Analysis of NFT Performance
A non-fungible token (NFT) is a data unit stored on the blockchain. Nowa...
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06/04/2023
USD: Unknown Sensitive Detector Empowered by Decoupled Objectness and Segment Anything Model
Open World Object Detection (OWOD) is a novel and challenging computer v...
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05/26/2023
KNSE: A Knowledge-aware Natural Language Inference Framework for Dialogue Symptom Status Recognition
Symptom diagnosis in medical conversations aims to correctly extract bot...
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05/25/2023
Combinatorial Bandits for Maximum Value Reward Function under Max Value-Index Feedback
We consider a combinatorial multi-armed bandit problem for maximum value...
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05/23/2023
Deep-Learning-Aided Alternating Least Squares for Tensor CP Decomposition and Its Application to Massive MIMO Channel Estimation
CANDECOMP/PARAFAC (CP) decomposition is the mostly used model to formula...
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05/21/2023
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
We investigate the online bandit learning of the monotone multi-linear D...
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05/18/2023
Constructing a personalized AI assistant for shear wall layout using Stable Diffusion
Shear wall structures are widely used in high-rise residential buildings...
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05/04/2023
Mitigating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation
A surge of interest has emerged in weakly supervised semantic segmentati...
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04/28/2023
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models
Neural ranking models (NRMs) have attracted considerable attention in in...
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04/13/2023
CoSDA: Continual Source-Free Domain Adaptation
Without access to the source data, source-free domain adaptation (SFDA) ...
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04/11/2023
Towards an Understanding and Explanation for Mixed-Initiative Artificial Scientific Text Detection
Large language models (LLMs) have gained popularity in various fields fo...
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04/08/2023
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning
Temporal knowledge graphs (TKGs) model the temporal evolution of events ...
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04/06/2023
4D Agnostic Real-Time Facial Animation Pipeline for Desktop Scenarios
We present a high-precision real-time facial animation pipeline suitable...
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04/04/2023
VISHIEN-MAAT: Scrollytelling visualization design for explaining Siamese Neural Network concept to non-technical users
The past decade has witnessed rapid progress in AI research since the br...
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04/04/2023
Blockwise Compression of Transformer-based Models without Retraining
Transformer-based models, represented by GPT-3, ChatGPT, and GPT-4, have...
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04/03/2023
Two-scale data-driven design for heat manipulation
Data-driven methods have gained increasing attention in computational me...
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03/30/2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms
We study contextual combinatorial bandits with probabilistically trigger...
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03/23/2023
FraudAuditor: A Visual Analytics Approach for Collusive Fraud in Health Insurance
Collusive fraud, in which multiple fraudsters collude to defraud health ...
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03/17/2023
XVoxel-Based Parametric Design Optimization of Feature Models
Parametric optimization is an important product design technique, especi...
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03/16/2023
Block-wise Bit-Compression of Transformer-based Models
With the popularity of the recent Transformer-based models represented b...
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03/06/2023
Pseudo-label Correction and Learning For Semi-Supervised Object Detection
Pseudo-Labeling has emerged as a simple yet effective technique for semi...
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02/26/2023