Papers
Thu 8 Aug 2024
229 papers
- Early-Exit meets Model-Distributed Inference at Edge NetworksEfficient LLM inference and serving → Early exit and edge inference
- BRAT: Bonus oRthogonAl Token for Architecture Agnostic Textual InversionDiffusion models → Image generation, text-to-image and editing
- Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence AnalysisDeep reinforcement learning methods → RL for games and combinatorial optimization
- Hybrid Student-Teacher Large Language Model Refinement for Cancer Toxicity Symptom ExtractionRetrieval-augmented generation → Medical and biomedical RAG
- Zero-Shot Uncertainty Quantification using Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
- Understanding the Performance and Estimating the Cost of LLM Fine-TuningMixture-of-experts → Efficient MoE training and inference systems
- Multi-Turn Context Jailbreak Attack on Large Language Models From First PrinciplesLLM safety and security → Jailbreaking
- Eliminating Backdoors in Neural Code Models for Secure Code UnderstandingLLM safety and security → Backdoor and data poisoning attacks
- CREST: Effectively Compacting a Datastore For Retrieval-Based Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Better Alignment with Instruction Back-and-Forth TranslationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Img-Diff: Contrastive Data Synthesis for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear MDPsOffline RL and imitation learning from data → Offline RL algorithms +1
- Compromesso! Italian Many-Shot Jailbreaks Undermine the Safety of Large Language ModelsLLM safety and security → Jailbreaking
- Model-Based Transfer Learning for Contextual Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Can LLMs Beat Humans in Debating? A Dynamic Multi-agent Framework for Competitive DebateLLM agents and tool use → Social simulation and multi-agent debate
- EARBench: Towards Evaluating Physical Risk Awareness for Task Planning of Foundation Model-based Embodied AI AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Enhancing Robustness of Retrieval-Augmented Language Models with In-Context LearningRetrieval-augmented generation → Generation and context integration
- Exploring Reasoning Biases in Large Language Models Through Syllogism: Insights from the NeuBAROCO DatasetLLM reasoning → Reasoning benchmarks and evaluation
- Non-maximizing policies that fulfill multi-criterion aspirations in expectationDeep reinforcement learning methods → RL theory and sample complexity
- Deep Generative Models in Robotics: A Survey on Learning from Multimodal DemonstrationsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Deep Reinforcement Learning for the Design of Metamaterial Mechanisms with Functional Compliance ControlDeep reinforcement learning methods → RL for robot locomotion and manipulation
- KnowPC: Knowledge-Driven Programmatic Reinforcement Learning for Zero-shot CoordinationDeep reinforcement learning methods → Deep RL algorithms and representations
- Enhancing Journalism with AI: A Study of Contextualized Image Captioning for News Articles using LLMs and LMMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- SCOOT: SLO-Oriented Performance Tuning for LLM Inference EnginesEfficient LLM inference and serving → Serving systems and request scheduling
- MoC-System: Efficient Fault Tolerance for Sparse Mixture-of-Experts Model TrainingMixture-of-experts → Efficient MoE training and inference systems
- LaDiMo: Layer-wise Distillation Inspired MoEfierMixture-of-experts → MoE large language models
- Distil-DCCRN: A Small-footprint DCCRN Leveraging Feature-based Knowledge Distillation in Speech EnhancementKnowledge distillation → Speech and audio distillation
- EfficientRAG: Efficient Retriever for Multi-Hop Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- InstantStyleGaussian: Efficient Art Style Transfer with 3D Gaussian SplattingDiffusion models → 3D, point cloud and scene generation
- LLDif: Diffusion Models for Low-light Emotion RecognitionDiffusion models → Audio, speech and music
- Mathfish: Evaluating Language Model Math Reasoning via Grounding in Educational CurriculaLLM reasoning → Mathematical reasoning
- Connective Viewpoints of Signal-to-Noise Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Diffusion Guided Language ModelingDiffusion models → Discrete and text diffusion
- Comp-LTL: Temporal Logic Planning via Zero-Shot Policy CompositionDeep reinforcement learning methods → Interpretable and logic-guided RL
- F1tenth Autonomous Racing With Offline Reinforcement Learning MethodsOffline RL and imitation learning from data → Imitation and offline RL for driving
- FDI: Attack Neural Code Generation Systems through User Feedback ChannelLLM safety and security → Backdoor and data poisoning attacks
- Listwise Reward Estimation for Offline Preference-based Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented GenerationRetrieval-augmented generation → Medical and biomedical RAG
- Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City Navigation without InstructionsLLM agents and tool use → Multimodal and embodied agents
- ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning ModelKnowledge distillation → Multimodal distillation
- LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging
- An Edge AI System Based on FPGA Platform for Railway Fault Detection
- Misrepresented Technological Solutions in Imagined Futures: The Origins and Dangers of AI Hype in the Research Community
- Can GPT-4 Models Detect Misleading Visualizations?
- Semantic Communication based on Large Language Model for Underwater Image Transmission
- Pediatric TSC-Related Epilepsy Classification from Clinical MR Images Using Quantum Neural Network
- Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised Learning
- Artificial Intelligence in Election Campaigns: Perceptions, Penalties, and Implications
- Using generative AI to support standardization work -- the case of 3GPP
- Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics
- A frugal Spiking Neural Network for unsupervised classification of continuous multivariate temporal data
- Interactive Design-of-Experiments: Optimizing a Cooling System
- A Large Model for Non-invasive and Personalized Management of Breast Cancer from Multiparametric MRI
- Convolutional Neural Networks for Predictive Modeling of Lung Disease
- Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming
- Leveraging Large Language Models for Enhanced Process Model Comprehension
- Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits
- Masked EEG Modeling for Driving Intention Prediction
- Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness
- A Systematic Literature Map on Big Data
- Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review
- The Role and Applications of Airport Digital Twin in Cyberattack Protection during the Generative AI Era
- Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
- Improved Adaboost Algorithm for Web Advertisement Click Prediction Based on Long Short-Term Memory Networks
- SOD-YOLOv8 -- Enhancing YOLOv8 for Small Object Detection in Traffic Scenes
- Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Bi-parametric MRI Datasets
- AI Consciousness and Public Perceptions: Four Futures
- Data-Driven Pixel Control: Challenges and Prospects
- Scalable learning of potentials to predict time-dependent Hartree-Fock dynamics
- Segmentation of Mental Foramen in Orthopantomographs: A Deep Learning Approach
- Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2
- Embodied Uncertainty-Aware Object Segmentation
- Confident magnitude-based neural network pruning
- More Questions than Answers? Lessons from Integrating Explainable AI into a Cyber-AI Tool
- AI for operational methane emitter monitoring from space
- Accurate deep learning-based filtering for chaotic dynamics by identifying instabilities without an ensemble
- Quantifying the Corpus Bias Problem in Automatic Music Transcription Systems
- Survey: Transformer-based Models in Data Modality Conversion
- Learning the Simplicity of Scattering Amplitudes
- DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models
- MulliVC: Multi-lingual Voice Conversion With Cycle Consistency
- Overlay-based Decentralized Federated Learning in Bandwidth-limited Networks
- Exploring Scalability in Large-Scale Time Series in DeepVATS framework
- Synthetic SQL Column Descriptions and Their Impact on Text-to-SQL Performance
- Design of a Quality Management System based on the EU Artificial Intelligence Act
- ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
- Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews
- Dynamic Fog Computing for Enhanced LLM Execution in Medical Applications
- Towards Linguistic Neural Representation Learning and Sentence Retrieval from Electroencephalogram Recordings
- LiDAR-Event Stereo Fusion with Hallucinations
- Arctic-TILT. Business Document Understanding at Sub-Billion Scale
- Puppet-Master: Scaling Interactive Video Generation as a Motion Prior for Part-Level Dynamics
- LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP
- Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation
- Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation
- Risk and cross validation in ridge regression with correlated samples
- Enhanced Prototypical Part Network (EPPNet) For Explainable Image Classification Via Prototypes
- Fall Detection for Industrial Setups Using YOLOv8 Variants
- Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning
- Improving Network Interpretability via Explanation Consistency Evaluation
All 229
- Code-switching in text and speech challenges information-theoretic speaker design
- Inference with the Upper Confidence Bound Algorithm
- SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation
- HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
- Learn To Learn More Precisely
- Sampling for View Synthesis: From Local Light Field Fusion to Neural Radiance Fields and Beyond
- Towards Resilient and Efficient LLMs: A Comparative Study of Efficiency, Performance, and Adversarial Robustness
- Unveiling the Power of Sparse Neural Networks for Feature Selection
- SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More
- SCENE: Evaluating Explainable AI Techniques Using Soft Counterfactuals
- Optimization-Driven Adaptive Experimentation
- Activation degree thresholds and expressiveness of polynomial neural networks
- Learning Fine-Grained Grounded Citations for Attributed Large Language Models
- Sketch2Scene: Automatic Generation of Interactive 3D Game Scenes from User's Casual Sketches
- Conversational Prompt Engineering
- BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models
- Moly'e: A Corpus-based Approach to Language Contact in Colonial France
- Quantum Machine Learning: Performance and Security Implications in Real-World Applications
- MemeMind at ArAIEval Shared Task: Spotting Persuasive Spans in Arabic Text with Persuasion Techniques Identification
- Synchronous Multi-modal Semantic Communication System with Packet-level Coding
- How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression
- AExGym: Benchmarks and Environments for Adaptive Experimentation
- Reasoning about Study Regulations in Answer Set Programming
- Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation
- Advancing Molecular Machine Learning Representations with Stereoelectronics-Infused Molecular Graphs
- Articulatory Configurations across Genders and Periods in French Radio and TV archives
- Saliency Detection in Educational Videos: Analyzing the Performance of Current Models, Identifying Limitations and Advancement Directions
- Knowledge-Aided Semantic Communication Leveraging Probabilistic Graphical Modeling
- Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs
- Statistical Framework for Clustering MU-MIMO Wireless via Second Order Statistics
- SegXAL: Explainable Active Learning for Semantic Segmentation in Driving Scene Scenarios
- NFDI4Health workflow and service for synthetic data generation, assessment and risk management
- What could go wrong? Discovering and describing failure modes in computer vision
- Crowd Intelligence for Early Misinformation Prediction on Social Media
- Random Walk Diffusion for Efficient Large-Scale Graph Generation
- An experimental comparative study of backpropagation and alternatives for training binary neural networks for image classification
- FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data
- Deep Learning for identifying systolic complexes in SCG traces: a cross-dataset analysis
- The Struggles of LLMs in Cross-lingual Code Clone Detection
- AcrosticSleuth: Probabilistic Identification and Ranking of Acrostics in Multilingual Corpora
- A Review of 3D Reconstruction Techniques for Deformable Tissues in Robotic Surgery
- Detection of Animal Movement from Weather Radar using Self-Supervised Learning
- Recognizing Emotion Regulation Strategies from Human Behavior with Large Language Models
- Deeploy: Enabling Energy-Efficient Deployment of Small Language Models On Heterogeneous Microcontrollers
- Clutter Classification Using Deep Learning in Multiple Stages
- Finite sample learning of moving targets
- Probabilistic energy forecasting through quantile regression in reproducing kernel Hilbert spaces
- DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization
- Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual Thinking
- Automated Educational Question Generation at Different Bloom's Skill Levels using Large Language Models: Strategies and Evaluation
- Open-domain Implicit Format Control for Large Language Model Generation
- Robustness investigation of cross-validation based quality measures for model assessment
- MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models
- Judgment2vec: Apply Graph Analytics to Searching and Recommendation of Similar Judgments
- Overview of the NLPCC 2024 Shared Task on Chinese Metaphor Generation
- Anomaly Prediction: A Novel Approach with Explicit Delay and Horizon
- Analyzing Consumer Reviews for Understanding Drivers of Hotels Ratings: An Indian Perspective
- MultiViPerFrOG: A Globally Optimized Multi-Viewpoint Perception Framework for Camera Motion and Tissue Deformation
- Simulating Articulatory Trajectories with Phonological Feature Interpolation
- Detecting Car Speed using Object Detection and Depth Estimation: A Deep Learning Framework
- Optimal Layout-Aware CNOT Circuit Synthesis with Qubit Permutation
- AggSS: An Aggregated Self-Supervised Approach for Class-Incremental Learning
- Towards Explainable Network Intrusion Detection using Large Language Models
- Self-Supervised Contrastive Graph Clustering Network via Structural Information Fusion
- Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection
- HydraFormer: One Encoder For All Subsampling Rates
- Deep Transfer Learning for Kidney Cancer Diagnosis
- Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy
- Better Locally Private Sparse Estimation Given Multiple Samples Per User
- Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
- TheGlueNote: Learned Representations for Robust and Flexible Note Alignment
- Learning with Digital Agents: An Analysis based on the Activity Theory
- Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language Adaptation of LLMs for Low-Resource NLP
- Tackling Noisy Clients in Federated Learning with End-to-end Label Correction
- An Explainable Non-local Network for COVID-19 Diagnosis
- Respiratory Differencing: Enhancing Pulmonary Thermal Ablation Evaluation Through Pre- and Intra-Operative Image Fusion
- Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy Optimization
- Dual-branch PolSAR Image Classification Based on GraphMAE and Local Feature Extraction
- Are Social Sentiments Inherent in LLMs? An Empirical Study on Extraction of Inter-demographic Sentiments
- Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approach
- EMTeC: A Corpus of Eye Movements on Machine-Generated Texts
- LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection
- Prompt-Assisted Semantic Interference Cancellation on Moderate Interference Channels
- AI-Driven Chatbot for Intrusion Detection in Edge Networks: Enhancing Cybersecurity with Ethical User Consent
- Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs
- Early Risk Assessment Model for ICA Timing Strategy in Unstable Angina Patients Using Multi-Modal Machine Learning
- SG-JND: Semantic-Guided Just Noticeable Distortion Predictor For Image Compression
- Analysis of Argument Structure Constructions in the Large Language Model BERT
- Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methods
- CoBooM: Codebook Guided Bootstrapping for Medical Image Representation Learning
- Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding
- UHNet: An Ultra-Lightweight and High-Speed Edge Detection Network
- Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection
- Cooperative Multi-Agent Deep Reinforcement Learning in Content Ranking Optimization
- Explicating the Implicit: Argument Detection Beyond Sentence Boundaries
- Scalable Transformer for High Dimensional Multivariate Time Series Forecasting
- MU-MAE: Multimodal Masked Autoencoders-Based One-Shot Learning
- The Ungrounded Alignment Problem
- Learning to Rewrite: Generalized LLM-Generated Text Detection
- Cluster-Wide Task Slowdown Detection in Cloud System
- Enhanced Traffic Flow Prediction with Multi-Segment Fusion Tensor Graph Convolutional Networks
- Probabilistic Circuits for Cumulative Distribution Functions
- Physical prior guided cooperative learning framework for joint turbulence degradation estimation and infrared video restoration
- Cross-View Meets Diffusion: Aerial Image Synthesis with Geometry and Text Guidance
- VideoQA in the Era of LLMs: An Empirical Study
- Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs
- Attention Mechanism and Context Modeling System for Text Mining Machine Translation
- Is SAM 2 Better than SAM in Medical Image Segmentation?
- MMREC: LLM Based Multi-Modal Recommender System
- DC Algorithm for Estimation of Sparse Gaussian Graphical Models
- MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents
- Pairwise Judgment Formulation for Semantic Embedding Model in Web Search
- Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks
- EdgeShield: A Universal and Efficient Edge Computing Framework for Robust AI
- An Upper Confidence Bound Approach to Estimating the Maximum Mean
- pyBregMan: A Python library for Bregman Manifolds
- wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech
- MultiColor: Image Colorization by Learning from Multiple Color Spaces
- Rotation center identification based on geometric relationships for rotary motion deblurring
- M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction
- mbrs: A Library for Minimum Bayes Risk Decoding
- Semantics or spelling? Probing contextual word embeddings with orthographic noise
- Efficient Single Image Super-Resolution with Entropy Attention and Receptive Field Augmentation
- The Data Addition Dilemma
- Decorrelating Structure via Adapters Makes Ensemble Learning Practical for Semi-supervised Learning
- A tutorial on the dynamic Laplacian
- Integrated Dynamic Phenological Feature for Remote Sensing Image Land Cover Change Detection
- UNLEARN Efficient Removal of Knowledge in Large Language Models
- Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering