Papers
Thu 16 Jan 2025
216 papers
- A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Geometry-Preserving Encoder/Decoder in Latent Generative ModelsDiffusion models → Diffusion foundations and sampling
- From Explainability to Interpretability: Interpretable Policies in Reinforcement Learning Via Model ExplanationDeep reinforcement learning methods → Interpretable and logic-guided RL
- PIXELS: Progressive Image Xemplar-based Editing with Latent SurgeryDiffusion models → Image generation, text-to-image and editing
- Lossy Compression with Pretrained Diffusion ModelsDiffusion models → Diffusion for compression and wireless
- Enhancing Generalization in Chain of Thought Reasoning for Smaller ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Conversational Text Extraction with Large Language Models Using Retrieval-Augmented SystemsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Fun-tuning: Characterizing the Vulnerability of Proprietary LLMs to Optimization-based Prompt Injection Attacks via the Fine-Tuning InterfaceLLM safety and security → Jailbreaking
- GeoManip: Geometric Constraints as General Interfaces for Robot ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident, Especially When They are WrongLLM reasoning → Reasoning benchmarks and evaluation
- Distilling Multi-modal Large Language Models for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- SynthLight: Portrait Relighting with Diffusion Model by Learning to Re-render Synthetic FacesDiffusion models → 3D, point cloud and scene generation
- OmniThink: Expanding Knowledge Boundaries in Machine Writing through ThinkingLLM reasoning → Knowledge- and tool-augmented reasoning +1
- FAST: Efficient Action Tokenization for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- Inference-Time Scaling for Diffusion Models beyond Scaling Denoising StepsLLM reasoning → Diffusion reasoning and test-time scaling +1
- A Simple Aerial Detection Baseline of Multimodal Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the KeyMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language ModelsWorld models → World models for language agents +1
- Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and ReviewDiffusion models → Diffusion foundations and sampling
- CHIRP: A Fine-Grained Benchmark for Open-Ended Response Evaluation in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- LLM-Based Routing in Mixture of Experts: A Novel Framework for TradingMixture-of-experts → MoE for time series and graphs
- Beyond Reward Hacking: Causal Rewards for Large Language Model AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- WMamba: Wavelet-based Mamba for Face Forgery DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Metric Learning with Progressive Self-Distillation for Audio-Visual Embedding LearningKnowledge distillation → Speech and audio distillation
- AdaFV: Rethinking of Visual-Language alignment for VLM accelerationLLM reasoning → Multimodal reasoning
- Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge DistillationKnowledge distillation → Distillation for continual learning
- RE-POSE: Synergizing Reinforcement Learning-Based Partitioning and Offloading for Edge Object DetectionDeep reinforcement learning methods → RL training of language and agent models
- Pruning for Sparse Diffusion Models based on Gradient FlowDiffusion models → Diffusion foundations and sampling
- Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model RobustnessMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation StrategyLLM safety and security → Safety alignment, refusal and guardrails
- AutoCBT: An Autonomous Multi-agent Framework for Cognitive Behavioral Therapy in Psychological CounselingLLM agents and tool use → Medical and scientific domain agents
- Vision-Language Models Do Not Understand NegationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- MoE2: Optimizing Collaborative Inference for Edge Large Language ModelsMixture-of-experts → Efficient MoE training and inference systems
- PICE: A Semantic-Driven Progressive Inference System for LLM Serving in Cloud-Edge NetworksEfficient LLM inference and serving → Early exit and edge inference
- YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality TasksLLM agents and tool use → Multimodal and embodied agents
- Neural Honeytrace: Plug&Play Watermarking Framework against Model Extraction AttacksLLM safety and security → Watermarking generated content and models
- Soft Knowledge Distillation with Multi-Dimensional Cross-Net Attention for Image Restoration Models CompressionKnowledge distillation → General knowledge distillation methods
- SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPsLLM agents and tool use → General LLM agent frameworks and benchmarks
- RoboReflect: A Robotic Reflective Reasoning Framework for Grasping Ambiguous-Condition ObjectsLLM reasoning → Spatial and embodied reasoning
- Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI ReconstructionDiffusion models → Medical imaging and segmentation
- Finding the Trigger: Causal Abductive Reasoning on Video EventsLLM reasoning → Multimodal reasoning
- To Retrieve or Not to Retrieve? Uncertainty Detection for Dynamic Retrieval Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Knowledge Distillation for Image Restoration : Simultaneous Learning from Degraded and Clean ImagesKnowledge distillation → General knowledge distillation methods
- Clone-Robust AI AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time TrainingLLM reasoning → Clinical and biomedical applications
- Democratizing AI Governance: Balancing Expertise and Public Participation
- Optimization Strategies for Enhancing Resource Efficiency in Transformers & Large Language Models
- PixelBrax: Learning Continuous Control from Pixels End-to-End on the GPU
- The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution
- Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search
- Revisiting Rogers' Paradox in the Context of Human-AI Interaction
- Poxel: Voxel Reconstruction for 3D Printing
- VillageNet: Graph-based, Easily-interpretable, Unsupervised Clustering for Broad Biomedical Applications
- Semi-Supervised Image-Based Narrative Extraction: A Case Study with Historical Photographic Records
- ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction
- CLAP-S: Support Set Based Adaptation for Downstream Fiber-optic Acoustic Recognition
- An LLM-Guided Tutoring System for Social Skills Training
- Detection of Vascular Leukoencephalopathy in CT Images
- Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random
- Coded Deep Learning: Framework and Algorithm
- CrossModalityDiffusion: Multi-Modal Novel View Synthesis with Unified Intermediate Representation
- Erasing More Than Intended? How Concept Erasure Degrades the Generation of Non-Target Concepts
- Bridging Language Barriers in Healthcare: A Study on Arabic LLMs
- pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data
- BN-Pool: Bayesian Nonparametric Pooling for Graphs
- Generalized Single-Image-Based Morphing Attack Detection Using Deep Representations from Vision Transformer
- Qwen it detect machine-generated text?
- Graph Neural Networks for Travel Distance Estimation and Route Recommendation Under Probabilistic Hazards
- SMPLest-X: Ultimate Scaling for Expressive Human Pose and Shape Estimation
- VideoWorld: Exploring Knowledge Learning from Unlabeled Videos
- Sentiment Analysis in Twitter Social Network Centered on Cryptocurrencies Using Machine Learning
- Multi-Head Self-Attending Neural Tucker Factorization
- Learnings from Scaling Visual Tokenizers for Reconstruction and Generation
- Lost in Translation, Found in Context: Sign Language Translation with Contextual Cues
- SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification
- Enhancing Lexicon-Based Text Embeddings with Large Language Models
- Suggesting Code Edits in Interactive Machine Learning Notebooks Using Large Language Models
- KU AIGEN ICL EDI@BC8 Track 3: Advancing Phenotype Named Entity Recognition and Normalization for Dysmorphology Physical Examination Reports
- Random Subspace Cubic-Regularization Methods, with Applications to Low-Rank Functions
- ComplexVAD: Detecting Interaction Anomalies in Video
- Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI
- Generating particle physics Lagrangians with transformers
- Parallel multi-objective metaheuristics for smart communications in vehicular networks
- Attention based Bidirectional GRU hybrid model for inappropriate content detection in Urdu language
- Comparative Insights from 12 Machine Learning Models in Extracting Economic Ideology from Political Text
- FLOL: Fast Baselines for Real-World Low-Light Enhancement
- CyberMentor: AI Powered Learning Tool Platform to Address Diverse Student Needs in Cybersecurity Education
- The Goofus & Gallant Story Corpus for Practical Value Alignment
- Domain Adaptation of Foundation LLMs for e-Commerce
- Practical Continual Forgetting for Pre-trained Vision Models
- Cueless EEG imagined speech for subject identification: dataset and benchmarks
- A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise
- Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation
- U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection
- Rough kernel hedging
- Incorporating Quantum Advantage in Quantum Circuit Generation through Genetic Programming
- Authenticated Delegation and Authorized AI Agents
- Fokker-Planck to Callan-Symanzik: evolution of weight matrices under training
- A Survey of Research in Large Language Models for Electronic Design Automation
All 216
- The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models
- Monte Carlo Tree Search with Velocity Obstacles for safe and efficient motion planning in dynamic environments
- NS-Gym: Open-Source Simulation Environments and Benchmarks for Non-Stationary Markov Decision Processes
- CarMem: Enhancing Long-Term Memory in LLM Voice Assistants through Category-Bounding
- Electronic Health Records: Towards Digital Twins in Healthcare
- Unified Face Matching and Physical-Digital Spoofing Attack Detection
- Platform-Aware Mission Planning
- Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework
- Artificial Intelligence-Driven Clinical Decision Support Systems
- Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML
- ARMAX identification of low rank graphical models
- Adversarial-Ensemble Kolmogorov Arnold Networks for Enhancing Indoor Wi-Fi Positioning: A Defensive Approach Against Spoofing and Signal Manipulation Attacks
- Managed-Retention Memory: A New Class of Memory for the AI Era
- From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMs
- Mesh2SLAM in VR: A Fast Geometry-Based SLAM Framework for Rapid Prototyping in Virtual Reality Applications
- Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining
- IFRA: a machine learning-based Instrumented Fall Risk Assessment Scale derived from Instrumented Timed Up and Go test in stroke patients
- Metrics for Inter-Dataset Similarity with Example Applications in Synthetic Data and Feature Selection Evaluation -- Extended Version
- Atleus: Accelerating Transformers on the Edge Enabled by 3D Heterogeneous Manycore Architectures
- Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities
- Towards Spectral Convergence of Locally Linear Embedding on Manifolds with Boundary
- MatrixNet: Learning over symmetry groups using learned group representations
- A New Teacher-Reviewer-Student Framework for Semi-supervised 2D Human Pose Estimation
- Stylomech: Unveiling Authorship via Computational Stylometry in English and Romanized Sinhala
- Overshoot: Taking advantage of future gradients in momentum-based stochastic optimization
- Text-driven Adaptation of Foundation Models for Few-shot Surgical Workflow Analysis
- Exploring AI-based System Design for Pixel-level Protected Health Information Detection in Medical Images
- Intra-day Solar and Power Forecast for Optimization of Intraday Market Participation
- Analyzing Continuous Semantic Shifts with Diachronic Word Similarity Matrices
- AI in Support of Diversity and Inclusion
- MOGNET: A Mux-residual quantized Network leveraging Online-Generated weights
- Confidence Estimation for Error Detection in Text-to-SQL Systems
- Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging
- Augmenting a Large Language Model with a Combination of Text and Visual Data for Conversational Visualization of Global Geospatial Data
- Multi-task deep-learning for sleep event detection and stage classification
- PIER: A Novel Metric for Evaluating What Matters in Code-Switching
- Multimodal Marvels of Deep Learning in Medical Diagnosis: A Comprehensive Review of COVID-19 Detection
- HydraMix: Multi-Image Feature Mixing for Small Data Image Classification
- AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation
- Omni-Emotion: Extending Video MLLM with Detailed Face and Audio Modeling for Multimodal Emotion Analysis
- VanGogh: A Unified Multimodal Diffusion-based Framework for Video Colorization
- Comparison of Various SLAM Systems for Mobile Robot in an Indoor Environment
- The Devil is in the Details: Simple Remedies for Image-to-LiDAR Representation Learning
- Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators
- MonoSOWA: Scalable monocular 3D Object detector Without human Annotations
- Utilizing AI Language Models to Identify Prognostic Factors for Coronary Artery Disease: A Study in Mashhad Residents
- Predicting Air Temperature from Volumetric Urban Morphology with Machine Learning
- DEFOM-Stereo: Depth Foundation Model Based Stereo Matching
- Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes
- Teaching Wav2Vec2 the Language of the Brain
- On the Relation between Optical Aperture and Automotive Object Detection
- Scaling Graph-Based Dependency Parsing with Arc Vectorization and Attention-Based Refinement
- Solving the Unsolvable: Translating Case Law in Hong Kong
- Scaling up self-supervised learning for improved surgical foundation models
- CaPa: Carve-n-Paint Synthesis for Efficient 4K Textured Mesh Generation
- ADAGE: A generic two-layer framework for adaptive agent based modelling
- AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring
- Dynamic Neural Style Transfer for Artistic Image Generation using VGG19
- FASP: Fast and Accurate Structured Pruning of Large Language Models
- Towards Robust and Realistic Human Pose Estimation via WiFi Signals
- Mind the Inclusivity Gap: Multilingual Gender-Neutral Translation Evaluation with mGeNTE
- PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI
- Fast Searching of Extreme Operating Conditions for Relay Protection Setting Calculation Based on Graph Neural Network and Reinforcement Learning
- Joint Transmission and Deblurring: A Semantic Communication Approach Using Events
- ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines
- Quantum-Enhanced Transformers for Robust Acoustic Scene Classification in IoT Environments
- SVIA: A Street View Image Anonymization Framework for Self-Driving Applications
- Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval
- Image Segmentation with transformers: An Overview, Challenges and Future
- Aligning Instruction Tuning with Pre-training
- Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset
- Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
- Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information
- PAL: Prompting Analytic Learning with Missing Modality for Multi-Modal Class-Incremental Learning
- Making Your Dreams A Reality: Decoding the Dreams into a Coherent Video Story from fMRI Signals
- ChartInsighter: An Approach for Mitigating Hallucination in Time-series Chart Summary Generation with A Benchmark Dataset
- UVRM: A Scalable 3D Reconstruction Model from Unposed Videos
- Rational Tuning of LLM Cascades via Probabilistic Modeling
- SE-BSFV: Online Subspace Learning based Shadow Enhancement and Background Suppression for ViSAR under Complex Background
- Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices
- Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis
- Identifying Information from Observations with Uncertainty and Novelty
- On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression
- Algorithm for Semantic Network Generation from Texts of Low Resource Languages Such as Kiswahili
- Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning
- Shape-Based Single Object Classification Using Ensemble Method Classifiers
- Understanding, Detecting, and Repairing Real-World In-Context-Learning-Based Text-to-SQL Errors
- Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation
- Creating Virtual Environments with 3D Gaussian Splatting: A Comparative Study
- Physics-informed deep learning for infectious disease forecasting
- Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning
- LAVCap: LLM-based Audio-Visual Captioning using Optimal Transport
- SEAL: Entangled White-box Watermarks on Low-Rank Adaptation
- Free-Knots Kolmogorov-Arnold Network: On the Analysis of Spline Knots and Advancing Stability
- SoccerSynth-Detection: A Synthetic Dataset for Soccer Player Detection
- Text Semantics to Flexible Design: A Residential Layout Generation Method Based on Stable Diffusion Model
- Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding
- Bias for Action: Video Implicit Neural Representations with Bias Modulation
- Large Language Model is Secretly a Protein Sequence Optimizer
- Are Open-Vocabulary Models Ready for Detection of MEP Elements on Construction Sites
- Perspective Transition of Large Language Models for Solving Subjective Tasks
- On the convergence rate of noisy Bayesian Optimization with Expected Improvement
- OpticFusion: Multi-Modal Neural Implicit 3D Reconstruction of Microstructures by Fusing White Light Interferometry and Optical Microscopy
- Delayed Fusion: Integrating Large Language Models into First-Pass Decoding in End-to-end Speech Recognition
- Task Vectors in In-Context Learning: Emergence, Formation, and Benefit
- AI-based Identity Fraud Detection: A Systematic Review
- Mono-Forward: Revisiting Forward-Forward through Objective-Locality Decomposition
- Tessellated Linear Model for Age Prediction from Voice
- Estimating Task-based Performance Bounds for Accelerated MRI Image Reconstruction Methods by Use of Learned-Ideal Observers
- Foundations of Large Language Models
- ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers
- A Simple Graph Contrastive Learning Framework for Short Text Classification
- Interpretable Droplet Digital PCR Assay for Trustworthy Molecular Diagnostics
- Adaptive Law-Based Transformation (ALT): A Lightweight Feature Representation for Time Series Classification
- Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning
- Surgical Visual Understanding (SurgVU) Dataset