Papers
Thu 2 Jan 2025
222 papers
- Safeguarding Large Language Models in Real-time with Tunable Safety-Performance Trade-offsLLM safety and security → Jailbreaking
- Many of Your DPOs are Secretly One: Attempting Unification Through Mutual InformationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- TreeLUT: An Efficient Alternative to Deep Neural Networks for Inference Acceleration Using Gradient Boosted Decision TreesEfficient LLM inference and serving → Early exit and edge inference
- Enhancing Reasoning through Process Supervision with Monte Carlo Tree SearchLLM reasoning → Reinforcement learning for reasoning
- GPT4Scene: Understand 3D Scenes from Videos with Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Unifying Specialized Visual Encoders for Video Language ModelsLLM reasoning → Multimodal reasoning
- Object-level Visual Prompts for Compositional Image GenerationDiffusion models → Image generation, text-to-image and editing
- Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse ScenariosSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- Improving Medical Large Vision-Language Models with Abnormal-Aware FeedbackMultimodal LLMs / vision-language models → Medical vision-language models
- CLIP-UP: CLIP-Based Unanswerable Problem Detection for Visual Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of ExplainabilityMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Aligning Large Language Models for Faithful Integrity Against Opposing ArgumentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language ModelsLLM safety and security → Jailbreaking
- SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video RestorationDiffusion models → Inverse problems and image restoration
- Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow ThinkingLLM reasoning → Hallucination detection and mitigation
- CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 CountriesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ProgCo: Program Helps Self-Correction of Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive ImagingState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo RatingsLLM reasoning → Reasoning for agents, planning and code
- Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base CompletionLLM reasoning → Knowledge- and tool-augmented reasoning
- Conditional Consistency Guided Image Translation and EnhancementDiffusion models → Image generation, text-to-image and editing
- Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design ProjectsLLM agents and tool use → General LLM agent frameworks and benchmarks
- A Game Between the Defender and the Attacker for Trigger-based Black-box Model WatermarkingLLM safety and security → Watermarking generated content and models
- 3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint TransformerMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- A3: Android Agent Arena for Mobile GUI Agents with Essential-State Procedural EvaluationLLM agents and tool use → GUI and mobile agents
- BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM InferenceEfficient LLM inference and serving → KV cache quantization
- Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image TransmissionDiffusion models → Diffusion for compression and wireless
- Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal LearningRetrieval-augmented generation → Multimodal RAG
- EliGen: Entity-Level Controlled Image Generation with Regional AttentionDiffusion models → Image generation, text-to-image and editing
- Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
- Dynamic Scaling of Unit Tests for Code Reward ModelingLLM reasoning → Reasoning for agents, planning and code +1
- Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video ApproachMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual LearningRetrieval-augmented generation → Generation and context integration
- KaLM-Embedding: Superior Training Data Brings A Stronger Embedding ModelRetrieval-augmented generation → Generation and context integration
- Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level ReviewDeep reinforcement learning methods → RL for energy, networks and operations
- FlashInfer: Efficient and Customizable Attention Engine for LLM Inference ServingEfficient LLM inference and serving → KV cache optimization
- Bootstrapped Reward ShapingDeep reinforcement learning methods → Deep RL algorithms and representations
- Optimizing Noise Schedules of Generative Models in High DimensionssDiffusion models → Diffusion foundations and sampling
- Perspective Chapter: MOOCs in India: Evolution, Innovation, Impact, and Roadmap
- The Use of Generative Artificial Intelligence for Upper Secondary Mathematics Education Through the Lens of Technology Acceptance
- Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach
- Multi-task Domain Adaptation for Computation Offloading in Edge-intelligence Networks
- A Shape-Based Functional Index for Objective Assessment of Pediatric Motor Function
- Calculating Customer Lifetime Value and Churn using Beta Geometric Negative Binomial and Gamma-Gamma Distribution in a NFT based setting
- Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective
- Toward Inclusive Educational AI: Auditing Frontier LLMs through a Multiplexity Lens
- FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles
- RealDiffFusionNet: Neural Controlled Differential Equation Informed Multi-Head Attention Fusion Networks for Disease Progression Modeling Using Real-World Data
- Model Checking in Medical Imaging for Tumor Detection and Segmentation
- Weakly Supervised Learning on Large Graphs
- Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection
- Benchmarking Constraint-Based Bayesian Structure Learning Algorithms: Role of Network Topology
- Rephotography in the Digital Era: Mass Rephotography and re.photos, the Web Portal for Rephotography
- ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing
- KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes
- Machine Learning-Based Differential Diagnosis of Parkinson's Disease Using Kinematic Feature Extraction and Selection
- Information Subtraction: Learning Representations for Conditional Entropy
- Explainable Neural Networks with Guarantees: A Sparse Estimation Approach
- Cross-model Transferability among Large Language Models on the Platonic Representations of Concepts
- TART: Token-based Architecture Transformer for Neural Network Performance Prediction
- Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction
- General Information Metrics for Improving AI Model Training Efficiency
- Unsupervised learning for anticipating critical transitions
- Constructing and explaining machine learning models for chemistry: example of the exploration and design of boron-based Lewis acids
- Semialgebraic Neural Networks: From roots to representations
- Predicting the Performance of Black-box LLMs through Follow-up Queries
- Click-Calib: A Robust Extrinsic Calibration Method for Surround-View Systems
- Multi-view Bayesian optimisation in an input-output reduced space for engineering design
- Task-Driven Fixation Network: An Efficient Architecture with Fixation Selection
- BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery
- In Search of a Lost Metric: Human Empowerment as a Pillar of Socially Conscious Navigation
- A Metasemantic-Metapragmatic Framework for Taxonomizing Multimodal Communicative Alignment
- SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers
- Transfer Neyman-Pearson Algorithm for Outlier Detection
- Quantifying True Robustness: Synonymity-Weighted Similarity for Trustworthy XAI Evaluation
- DiagrammaticLearning: A Graphical Language for Compositional Training Regimes
- Explainable Brain Age Gap Prediction in Neurodegenerative Conditions using coVariance Neural Networks
- AI-Enabled Operations at Fermi Complex: Multivariate Time Series Prediction for Outage Prediction and Diagnosis
- Transfer Learning Analysis of Variational Quantum Circuits
- ORACLE: A Real-Time, Hierarchical, Deep-Learning Photometric Classifier for the LSST
- Sequencing Silicates in the IRS Debris Disk Catalog I: Methodology for Unsupervised Clustering
- Embedding Similarity Guided License Plate Super Resolution
- An unsupervised method for MRI recovery: Deep image prior with structured sparsity
- Unleashing Correlation and Continuity for Hyperspectral Reconstruction from RGB Images
- CORAL: Concept Drift Representation Learning for Co-evolving Time-series
- A Survey of Deep Learning Methods in Protein Bioinformatics and its Impact on Protein Design
- VideoAnydoor: High-fidelity Video Object Insertion with Precise Motion Control
- Free-Form Motion Control: Controlling the 6D Poses of Camera and Objects in Video Generation
- Multi-Modal Video Feature Extraction for Popularity Prediction
- R-SCoRe: Revisiting Scene Coordinate Regression for Robust Large-Scale Visual Localization
- A Multi-task Supervised Compression Model for Split Computing
- Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension
- Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers
- JOG3R: Towards 3D-Consistent Video Generators
- Nested Attention: Semantic-aware Attention Values for Concept Personalization
- nnY-Net: Swin-NeXt with Cross-Attention for 3D Medical Images Segmentation
- Best Transition Matrix Esitimation or Best Label Noise Robustness Classifier? Two Possible Methods to Enhance the Performance of T-revision
- A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models
- Learning 3D Garment Animation from Trajectories of A Piece of Cloth
All 222
- ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer
- Deep P-Spline: Theory, Fast Tuning, and Application
- Iris Recognition for Infants
- ScarNet: A Novel Foundation Model for Automated Myocardial Scar Quantification from LGE in Cardiac MRI
- Embedding-Based Approaches to Hyperpartisan News Detection
- Test-time Controllable Image Generation by Explicit Spatial Constraint Enforcement
- Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation
- ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding
- Rethinking Relation Extraction: Beyond Shortcuts to Generalization with a Debiased Benchmark
- AdaptVC: High Quality Voice Conversion with Adaptive Learning
- Machine Learning for Modeling Wireless Radio Metrics with Crowdsourced Data and Local Environment Features
- DeepFilter: A Transformer-style Framework for Accurate and Efficient Process Monitoring
- Simultaneous Latent State Estimation and Latent Linear Dynamics Discovery from Image Observations
- Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension
- The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation
- Domain-invariant feature learning in brain MR imaging for content-based image retrieval
- Fast data inversion for high-dimensional Ornstein-Uhlenbeck processes from noisy measurements
- Difficult Examples Hurt Unsupervised Contrastive Learning: A Theoretical Perspective
- Learning Spectral Methods by Transformers
- Multi-Head Explainer: A General Framework to Improve Explainability in CNNs and Transformers
- Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments -- The Depression and Anxiety Case
- Citations and Trust in LLM Generated Responses
- LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks
- Detection Augmented Bandit Procedures for Piecewise Stationary MABs: A Modular Approach
- ToolComp: A Multi-Tool Reasoning & Process Supervision Benchmark
- Optimized Relay Lens Design For High-Resolution Image Transmission In Military Target Detection Systems
- Tracing Partisan Bias to Its Emotional Fingerprints: A Computational Approach to Mitigation
- Marketing Mix Modeling in Lemonade
- HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking
- Does a Large Language Model Really Speak in Human-Like Language?
- PIMAEX: Multi-Agent Exploration through Peer Incentivization
- Stealthy Backdoor Attack to Real-world Models in Android Apps
- Digital Guardians: Can GPT-4, Perspective API, and Moderation API reliably detect hate speech in reader comments of German online newspapers?
- Bayesian Active Learning By Distribution Disagreement
- SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization
- Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants
- An Efficient Attention Mechanism for Sequential Recommendation Tasks: HydraRec
- Asymmetric Reinforcing against Multi-modal Representation Bias
- High-Order Tensor Regression in Sparse Convolutional Neural Networks
- EHCTNet: Enhanced Hybrid of CNN and Transformer Network for Remote Sensing Image Change Detection
- Self-Refinement Strategies for LLM-based Product Attribute Value Extraction
- SVFR: A Unified Framework for Generalized Video Face Restoration
- Exploiting Latent Properties to Optimize Neural Codecs
- Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent
- Comparative Analysis of Topic Modeling Techniques on ATSB Text Narratives Using Natural Language Processing
- Classification of Operational Records in Aviation Using Deep Learning Approaches
- TabTreeFormer: Tabular Data Generation Using Hybrid Tree-Transformer
- Towards Consumer-Grade Cybersickness Prediction: Multi-Model Alignment for Real-Time Vision-Only Inference
- A redescription mining framework for post-hoc explaining and relating deep learning models
- Empirical Analysis of Nature-Inspired Algorithms for Autism Spectrum Disorder Detection Using 3D Video Dataset
- LayeringDiff: Layered Image Synthesis via Generation, then Disassembly with Generative Knowledge
- Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views
- Data Augmentation Techniques for Chinese Disease Name Normalization
- Vulnerability-Aware Spatio-Temporal Learning for Generalizable Deepfake Video Detection
- Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases
- RingFormer: A Neural Vocoder with Ring Attention and Convolution-Augmented Transformer
- L3D-Pose: Lifting Pose for 3D Avatars from a Single Camera in the Wild
- Blind Men and the Elephant: Diverse Perspectives on Gender Stereotypes in Benchmark Datasets
- Deep Learning in Palmprint Recognition-A Comprehensive Survey
- Towards Interactive Deepfake Analysis
- Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks
- Ultrasound Lung Aeration Map via Physics-Aware Neural Operators
- TexAVi: Generating Stereoscopic VR Video Clips from Text Descriptions
- Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals
- Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations
- Symmetries-enhanced Multi-Agent Reinforcement Learning
- Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach
- An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise
- InDeed: Interpretable image deep decomposition with guaranteed generalizability
- Source-free Semantic Regularization Learning for Semi-supervised Domain Adaptation
- DuMo: Dual Encoder Modulation Network for Precise Concept Erasure
- Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning
- TED: Turn Emphasis with Dialogue Feature Attention for Emotion Recognition in Conversation
- PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation
- Leverage Cross-Attention for End-to-End Open-Vocabulary Panoptic Reconstruction
- Pruning-based Data Selection and Network Fusion for Efficient Deep Learning
- Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation
- HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment
- Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion
- Regularized Proportional Fairness Mechanism for Resource Allocation Without Money
- MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification
- BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization
- MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization
- AIM: Additional Image Guided Generation of Transferable Adversarial Attacks
- learning discriminative features from spectrograms using center loss for speech emotion recognition
- Disambiguation of Chinese Polyphones in an End-to-End Framework with Semantic Features Extracted by Pre-trained BERT
- Deformable Gaussian Splatting for Efficient and High-Fidelity Reconstruction of Surgical Scenes
- Long-range Brain Graph Transformer
- MMVA: Multimodal Matching Based on Valence and Arousal across Images, Music, and Musical Captions
- HoneypotNet: Backdoor Attacks Against Model Extraction
- Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series Prediction
- Graph Generative Pre-trained Transformer
- Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images
- BeliN: A Novel Corpus for Bengali Religious News Headline Generation using Contextual Feature Fusion
- Enhancing Precision of Automated Teller Machines Network Quality Assessment: Machine Learning and Multi Classifier Fusion Approaches
- An Efficient Outlier Detection Algorithm for Data Streaming
- Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models
- HPC Application Parameter Autotuning on Edge Devices: A Bandit Learning Approach
- Risks of Cultural Erasure in Large Language Models
- TS-SatMVSNet: Slope Aware Height Estimation for Large-Scale Earth Terrain Multi-view Stereo
- SEDD: Scalable and Efficient Dataset Deduplication with GPUs
- ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think
- Event Masked Autoencoder: Point-wise Action Recognition with Event-Based Cameras
- MSWA: Refining Local Attention with Multi-ScaleWindow Attention
- MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception
- Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models
- DynamicLip: Shape-Independent Continuous Authentication via Lip Articulator Dynamics
- Reasoning based on symbolic and parametric knowledge bases: a survey
- State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading through Pros, Cons, and Future Prospects
- Towards Adversarially Robust Deep Metric Learning
- Hadamard Attention Recurrent Transformer: A Strong Baseline for Stereo Matching Transformer
- Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function
- Boosting Adversarial Transferability with Spatial Adversarial Alignment
- MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model
- Prediction of Geoeffective CMEs Using SOHO Images and Deep Learning
- CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction
- EasySplat: View-Adaptive Learning makes 3D Gaussian Splatting Easy
- Multi-Objective Optimization-Based Anonymization of Structured Data for Machine Learning Application
- Physics-informed Gaussian Processes for Safe Envelope Expansion
- Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory
- Is It Still Fair? Investigating Gender Fairness in Cross-Corpus Speech Emotion Recognition
- Are LLMs effective psychological assessors? Leveraging adaptive RAG for interpretable mental health screening through psychometric practice