Papers
Sun 5 Jan 2025
114 papers
- LatteReview: A Multi-Agent Framework for Systematic Review Automation Using Large Language ModelsLLM agents and tool use → Web, search, and research agents
- Strategic Fusion Optimizes Transformer CompressionKnowledge distillation → General knowledge distillation methods
- Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- From thermodynamics to protein design: Diffusion models for biomolecule generation towards autonomous protein engineeringDiffusion models → Flow matching, time series and science
- Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?LLM reasoning → Multimodal reasoning +1
- A View of the Certainty-Equivalence Method for PAC RL as an Application of the Trajectory Tree MethodDeep reinforcement learning methods → RL theory and sample complexity
- Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack DefenseLLM safety and security → Jailbreaking
- Back to Base: Towards Hands-Off Learning via Safe Resets with Reach-Avoid Safety FiltersDeep reinforcement learning methods → Safe and constrained RL
- Efficient Architectures for High Resolution Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- DepthMaster: Taming Diffusion Models for Monocular Depth EstimationDiffusion models → 3D, point cloud and scene generation
- Energy Optimization of Multi-task DNN Inference in MEC-assisted XR Devices: A Lyapunov-Guided Reinforcement Learning ApproachDeep reinforcement learning methods → RL for energy, networks and operations
- Decoding fMRI Data into Captions using Prefix Language ModelingDiffusion models → Medical imaging and segmentation
- KM-UNet KAN Mamba UNet for medical image segmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Planning Under Observation Mismatch for Traffic Signal Control via Adaptive Modular World ModelsWorld models → World models for autonomous driving
- Towards New Benchmark for AI Alignment & Sentiment Analysis in Socially Important Issues: A Comparative Study of Human and LLMs in the Context of AGILLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Unified Guidance for Geometry-Conditioned Molecular GenerationDiffusion models → Flow matching, time series and science
- Face-MakeUp: Multimodal Facial Prompts for Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- Layout2Scene: 3D Semantic Layout Guided Scene Generation via Geometry and Appearance Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost OptimizationEfficient LLM inference and serving → Early exit and edge inference
- ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool UseLLM agents and tool use → Tool learning and function calling
- A Survey of Test-Time Compute: From Intuitive Inference to Deliberate ReasoningLLM reasoning → Test-time compute and efficient thinking
- LLMPC: Large Language Model Predictive ControlLLM reasoning → Reasoning for agents, planning and code
- Representation Convergence: Mutual Distillation is Secretly a Form of RegularizationDeep reinforcement learning methods → Deep RL algorithms and representations
- DeTrack: In-model Latent Denoising Learning for Visual Object TrackingDiffusion models → Image generation, text-to-image and editing
- FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical ApplicationsRetrieval-augmented generation → Medical and biomedical RAG
- Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning GapLLM reasoning → Mathematical reasoning
- MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion SegmentationDiffusion models → Medical imaging and segmentation
- RTLMarker: Protecting LLM-Generated RTL Copyright via a Hardware Watermarking FrameworkLLM safety and security → Watermarking generated content and models
- FOLDER: Accelerating Multi-modal Large Language Models with Enhanced PerformanceMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- A Study about Distribution and Acceptance of Conversational Agents for Mental Health in Germany: Keep the Human in the Loop?
- Punch Out Model Synthesis: A Stochastic Algorithm for Constraint Based Tiling Generation
- Automated Detection of Epileptic Spikes and Seizures Incorporating a Novel Spatial Clustering Prior
- Understanding colors of Dufaycolor: Can we recover them using historical colorimetric and spectral data?
- Fitting Different Interactive Information: Joint Classification of Emotion and Intention
- Traits of a Leader: User Influence Level Prediction through Sociolinguistic Modeling
- From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence
- Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model
- DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules
- HonkaiChat: Companions from Anime that feel alive!
- ComMer: a Framework for Compressing and Merging User Data for Personalization
- GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking
- Flash Interpretability: Decoding Specialised Feature Neurons in Large Language Models with the LM-Head
- Improving Quantum Machine Learning via Heat-Bath Algorithmic Cooling
- From Superficial Patterns to Semantic Understanding: Fine-Tuning Language Models on Contrast Sets
- Exploring the Impact of Dataset Statistical Effect Size on Model Performance and Data Sample Size Sufficiency
- Re-examining Granger Causality with Causal Bayesian Networks and Reichenbachs Principles
- Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation
- Incentive-Compatible Federated Learning with Stackelberg Game Modeling
- Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
- Tighnari: Multi-modal Plant Species Prediction Based on Hierarchical Cross-Attention Using Graph-Based and Vision Backbone-Extracted Features
- Representation Learning of Lab Values via Masked AutoEncoders
- Trust and Dependability in Blockchain & AI Based MedIoT Applications: Research Challenges and Future Directions
- Multispectral Pedestrian Detection with Sparsely Annotated Label
- Prune or Retrain: Optimizing the Vocabulary of Multilingual Models for Estonian
- Cracks in The Stack: Hidden Vulnerabilities and Licensing Risks in LLM Pre-Training Datasets
- HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs
- Simultaneous analysis of approximate leave-one-out cross-validation and mean-field inference
- LLMs Help Alleviate the Cross-Subject Variability in Brain Signal and Language Alignment
- Identifying Surgical Instruments in Pedagogical Cataract Surgery Videos through an Optimized Aggregation Network
- Multi-layer Radial Basis Function Networks for Out-of-distribution Detection
- LWFNet: Coherent Doppler Wind Lidar-Based Network for Wind Field Retrieval
- Chameleon2++: An Efficient and Scalable Variant Of Chameleon Clustering
- TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms
- Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer Models
- GIT-CXR: End-to-End Transformer for Chest X-Ray Report Generation
- Evolving Skeletons: Motion Dynamics in Action Recognition
- Gaze Behavior During a Long-Term, In-Home, Social Robot Intervention for Children with ASD
- LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations
- Efficient Graph Condensation via Gaussian Process
- Balanced Multi-view Clustering
- Neural Error Covariance Estimation for Precise LiDAR Localization
- Multi-LLM Collaborative Caption Generation in Scientific Documents
- From Language To Vision: A Case Study of Text Animation
- Transformers Simulate MLE for Sequence Generation in Bayesian Networks
- TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain
- AHMSA-Net: Adaptive Hierarchical Multi-Scale Attention Network for Micro-Expression Recognition
- A completely uniform transformer for parity
- Boosting Edge Detection with Pixel-wise Feature Selection: The Extractor-Selector Paradigm
- Evaluating Large Language Models Against Human Annotators in Latent Content Analysis: Sentiment, Political Leaning, Emotional Intensity, and Sarcasm
- Vision-Driven Prompt Optimization for Large Language Models in Multimodal Generative Tasks
- Remote Inference over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantization
- CHAIR -- Classifier of Hallucination as Improver
- Can Impressions of Music be Extracted from Thumbnail Images?
- Facial Attractiveness Prediction in Live Streaming: A New Benchmark and Multi-modal Method
- Estimation of partial rankings from sparse, noisy comparisons
- Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight Detection
- Predicting Vulnerability to Malware Using Machine Learning Models: A Study on Microsoft Windows Machines
- Rethinking IDE Customization for Enhanced HAX: A Hyperdimensional Perspective
- ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling
- Decoding News Bias: Multi Bias Detection in News Articles
- A Deep Positive-Negative Prototype Approach to Integrated Prototypical Discriminative Learning
- Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data
- Generalization-Enhanced Few-Shot Object Detection in Remote Sensing
- IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priors
- Hengqin-RA-v1: Advanced Large Language Model for Diagnosis and Treatment of Rheumatoid Arthritis with Dataset based Traditional Chinese Medicine
- Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
- Neural Reflectance Fields for Radio-Frequency Ray Tracing
- Enhancing Contrastive Learning for Retinal Imaging via Adjusted Augmentation Scales
All 114
- GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detection
- Unsupervised Search for Ethnic Minorities' Medical Segmentation Training Set
- A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models
- Efficient Deployment of Large Language Models on Resource-constrained Devices
- Network Dynamics-Based Framework for Understanding Deep Neural Networks
- Towards Multimodal Metaphor Understanding: A Chinese Dataset and Model for Metaphor Mapping Identification
- Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding
- Framework for lung CT image segmentation based on UNet++
- MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
- Scaling Laws for Floating Point Quantization Training
- Journey into Automation: Image-Derived Pavement Texture Extraction and Evaluation
- Transfer learning via Regularized Linear Discriminant Analysis
- Interpretable Neural ODEs for Gene Regulatory Network Discovery under Perturbations
- Towards the Anonymization of the Language Modeling