Papers
Sun 19 Jan 2025
98 papers
- Hallucination Mitigation using Agentic AI Natural Language-Based FrameworksLLM agents and tool use → Medical and scientific domain agents
- Dagger Behind Smile: Fool LLMs with a Happy Ending StoryLLM safety and security → Jailbreaking
- Reinforcement Learning Based Goodput Maximization with Quantized Feedback in URLLCDeep reinforcement learning methods → RL for energy, networks and operations
- Can Safety Fine-Tuning Be More Principled? Lessons Learned from CybersecurityLLM safety and security → Safety alignment, refusal and guardrails
- ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- A Novel Switch-Type Policy Network for Resource Allocation Problems: Technical ReportDeep reinforcement learning methods → RL for energy, networks and operations
- Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise CorrectionKnowledge distillation → General knowledge distillation methods
- Tell me about yourself: LLMs are aware of their learned behaviorsLLM safety and security → Safety alignment, refusal and guardrails
- Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm PerspectiveLLM reasoning → Mathematical reasoning
- Federated Deep Reinforcement Learning for Energy Efficient Multi-Functional RIS-Assisted Low-Earth Orbit NetworksDeep reinforcement learning methods → RL for robot navigation and UAV control
- IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- LF-Steering: Latent Feature Activation Steering for Enhancing Semantic Consistency in Large Language ModelsMechanistic interpretability → Activation steering methods
- Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position EncodingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Leveraging Chain of Thought towards Empathetic Spoken Dialogue without Corresponding Question-Answering DataLLM reasoning → Audio-language model reasoning
- Revival: Collaborative Artistic Creation through Human-AI Interactions in Musical Creativity
- Musical Agent Systems: MACAT and MACataRT
- Adaptive Hoeffding Tree with Transfer Learning for Streaming Synchrophasor Data Sets
- Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition Data
- A VM-HDL Co-Simulation Framework for Systems with PCIe-Connected FPGAs
- Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors
- A Comprehensive Survey on Integrating Large Language Models with Knowledge-Based Methods
- Self-Explanation in Social AI Agents
- Comparative Analysis of Hand-Crafted and Machine-Driven Histopathological Features for Prostate Cancer Classification and Segmentation
- Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning
- Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests
- Counteracting temporal attacks in Video Copy Detection
- AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysis
- DeepEyeNet: Adaptive Genetic Bayesian Algorithm Based Hybrid ConvNeXtTiny Framework For Multi-Feature Glaucoma Eye Diagnosis
- Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning
- AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations
- Modeling Attention during Dimensional Shifts with Counterfactual and Delayed Feedback
- LiFT: Lightweight, FPGA-tailored 3D object detection based on LiDAR data
- Modelling of automotive steel fatigue lifetime by machine learning method
- Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation
- CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning
- Community Detection for Contextual-LSBM: Theoretical Limitations of Misclassification Rate and Efficient Algorithms
- Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
- Advanced technology in railway track monitoring using the GPR Technique: A Review
- A Collection of Question Answering Datasets for Norwegian
- A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise
- Assessing Semantic Annotation Activities with Formal Concept Analysis
- Clinical trial cohort selection using Large Language Models on n2c2 Challenges
- A Novel Pearson Correlation-Based Merging Algorithm for Robust Distributed Machine Learning with Heterogeneous Data
- ChaosEater: Fully Automating Chaos Engineering with Large Language Models
- RDG-GS: Relative Depth Guidance with Gaussian Splatting for Real-time Sparse-View 3D Rendering
- Unit Region Encoding: A Unified and Compact Geometry-aware Representation for Floorplan Applications
- Reproducibility review of "Why Not Other Classes": Towards Class-Contrastive Back-Propagation Explanations
- Enhanced Suicidal Ideation Detection from Social Media Using a CNN-BiLSTM Hybrid Model
- Dynamic semantic networks for exploration of creative thinking
- Leveraging counterfactual concepts for debugging and improving CNN model performance
- Evaluating LLM-Based Regression Test Generation
- Refinement Module based on Parse Graph for Human Pose Estimation
- Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets
- Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection
- Temporal Analysis of Adversarial Attacks in Federated Learning
- Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space
- BF-STVSR: B-Splines and Fourier-Best Friends for High Fidelity Spatial-Temporal Video Super-Resolution
- Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach
- Model Predictive Task Sampling for Efficient and Robust Adaptation
- From Arabic Text to Puzzles: LLM-Driven Development of Arabic Educational Crosswords
- AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model
- Tracking Mouse from Incomplete Body-Part Observations and Deep-Learned Deformable-Mouse Model Motion-Track Constraint for Behavior Analysis
- Investigating the Impact of Language-Adaptive Fine-Tuning on Sentiment Analysis in Hausa Language Using AfriBERTa
- Car-GS: Addressing Reflective and Transparent Surface Challenges in 3D Car Reconstruction
- Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification
- GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human
- HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition
- GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code Generation
- Building low-resource African language corpora: A case study of Kidawida, Kalenjin and Dholuo
- pMixFed: Efficient Personalized Federated Learning through Adaptive Layer-Wise Mixup
- GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models
- Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis
- An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer
- Control LLM: Controlled Evolution for Intelligence Retention in LLM
- SMARTe-VR: Student Monitoring and Adaptive Response Technology for e-Learning in Virtual Reality
- The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs
- AI Based Font Pair Suggestion Modelling For Graphic Design
- DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization
- Rethinking Early-Fusion Strategies for Improved Multimodal Image Segmentation
- MARIO: A Mixed Annotation Framework For Polyp Segmentation
- Multimodal Techniques for Malware Classification
- Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
- InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models
- Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning
- TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval
- BeST -- A Novel Source Selection Metric for Transfer Learning
- Issues with Neural Tangent Kernel Approach to Neural Networks
- Generative Physical AI in Vision: A Survey
- Adaptive Target Localization under Uncertainty using Multi-Agent Deep Reinforcement Learning with Knowledge Transfer
- Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders
- Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition
- LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice
- Green Video Camouflaged Object Detection
- Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP
- DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive Framework
- Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition
- Explainable Adversarial Attacks on Coarse-to-Fine Classifiers
- A Remote Sensing Image Change Detection Method Integrating Layer Exchange and Channel-Spatial Differences