Papers
Wed 20 Nov 2024
262 papers
- Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-trainingMultimodal LLMs / vision-language models → Medical vision-language models
- Multimodal large language model for wheat breeding: a new exploration of smart breedingMultimodal LLMs / vision-language models → Agricultural vision-language models
- Beyond Visual Understanding: Introducing PARROT-360V for Vision Language Model BenchmarkingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in MedicineLLM safety and security → Safety alignment, refusal and guardrails
- Mediating Modes of Thought: LLM's for design scriptingLLM reasoning → Reasoning benchmarks and evaluation
- Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning ScenariosLLM reasoning → Multimodal reasoning
- AI-Driven Agents with Prompts Designed for High Agreeableness Increase the Likelihood of Being Mistaken for a Human in the Turing TestLLM agents and tool use → Social simulation and multi-agent debate
- Delta-Influence: Unlearning Poisons via Influence FunctionsLLM safety and security → Machine unlearning
- Almost Sure Convergence Rates and Concentration of Stochastic Approximation and Reinforcement Learning with Markovian NoiseDeep reinforcement learning methods → RL theory and sample complexity
- Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Retrieval-Augmented Generation for Domain-Specific Question Answering: A Case Study on Pittsburgh and CMURetrieval-augmented generation → RAG robustness and adaptive retrieval
- DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMsLLM alignment / RLHF / preference optimisation → Process reward models for reasoning +1
- AI-generated Image Detection: Passive or Watermark?LLM safety and security → Watermarking generated content and models
- ToolScan: A Benchmark for Characterizing Errors in Tool-Use LLMsLLM agents and tool use → Tool learning and function calling
- BALROG: Benchmarking Agentic LLM and VLM Reasoning On GamesLLM reasoning → Reasoning for agents, planning and code +2
- Competence-Aware AI Agents with Metacognition for Unknown Situations and Environments (MUSE)LLM agents and tool use → General LLM agent frameworks and benchmarks
- Disentangling Memory and Reasoning Ability in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human DemonstrationsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Watermark under Fire: A Robustness Evaluation of LLM WatermarkingLLM safety and security → Watermarking generated content and models
- Heuristically Adaptive Diffusion-Model Evolutionary StrategyDiffusion models → Diffusion foundations and sampling
- Verifying Machine Unlearning with Explainable AILLM safety and security → Machine unlearning
- Teaching VLMs to Localize Specific Objects from In-context ExamplesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User SimulationMultimodal LLMs / vision-language models → Video understanding with MLLMs
- XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic SegmentationLLM reasoning → Spatial and embodied reasoning
- ViSTa Dataset: Do vision-language models understand sequential tasks?Multimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Closer Look at Efficient Inference Methods: A Survey of Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image GenerationDiffusion models → Inverse problems and image restoration
- Learning Time-Optimal and Speed-Adjustable Tactile In-Hand ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- CopyrightMeter: Revisiting Copyright Protection in Text-to-image ModelsDiffusion models → Robustness, privacy and adversarial aspects
- TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Compute Optimal Inference and Provable Amortisation Gap in Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
- Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
- SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language ModelsLLM reasoning → Spatial and embodied reasoning +2
- Video-RAG: Visually-aligned Retrieval-Augmented Long Video ComprehensionRetrieval-augmented generation → Multimodal RAG
- ESARM: 3D Emotional Speech-to-Animation via Reward Model from Automatically-Ranked DemonstrationsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Patience Is The Key to Large Language Model ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Hints of Prompt: Enhancing Visual Representation for Multimodal LLMs in Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Bounding-box Watermarking: Defense against Model Extraction Attacks on Object DetectorsLLM safety and security → Watermarking generated content and models
- Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance LearningKnowledge distillation → Knowledge distillation for LLMs
- AsymDex: Asymmetry and Relative Coordinates for RL-based Bimanual DexterityDeep reinforcement learning methods → RL for robot locomotion and manipulation
- MERLOT: A Distilled LLM-based Mixture-of-Experts Framework for Scalable Encrypted Traffic ClassificationMixture-of-experts → Expert routing strategies
- Hierarchical Diffusion Policy: manipulation trajectory generation via contact guidanceDiffusion models → Diffusion and flow policies for robotics +1
- LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and EnhancementMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- MindForge: Empowering Embodied Agents with Theory of Mind for Lifelong Cultural LearningLLM agents and tool use → Reinforcement learning for LLM agents
- NumCoKE: Ordinal-Aware Numerical Reasoning over Knowledge Graphs with Mixture-of-Experts and Contrastive LearningMixture-of-experts → MoE large language models
- A Flexible Large Language Models Guardrail Development Methodology Applied to Off-Topic Prompt DetectionLLM safety and security → Safety alignment, refusal and guardrails
- Epinet for Content Cold Start
- AI-powered Digital Framework for Personalized Economical Quality Learning at Scale
- NLP Cluster Analysis of Common Core State Standards and NAEP Item Specifications
- From Pixels to Planes: Minimum Ground Sample Distance for Aircraft
- Towards Advanced Speech Signal Processing: A Statistical Perspective on Convolution-Based Architectures and its Applications
- When IoT Meet LLMs: Applications and Challenges
- Automatic EEG Independent Component Classification Using ICLabel in Python
- MAS-Attention: Memory-Aware Stream Processing for Attention Acceleration on Resource-Constrained Edge Devices
- SlideSpawn: An Automatic Slides Generation System for Research Publications
- Comprehensive Methodology for Sample Augmentation in EEG Biomarker Studies for Alzheimers Risk Classification
- Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
- Sampling with Adaptive Variance for Multimodal Distributions
- Academ-AI: documenting the undisclosed use of generative artificial intelligence in academic publishing
- LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training
- Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint
- S2ALM: Sequence-Structure Pre-trained Large Language Model for Comprehensive Antibody Representation Learning
- Urban Region Embeddings from Service-Specific Mobile Traffic Data
- Image Harmonization using Robust Restricted CDF Matching
- Effective Analog ICs Floorplanning with Relational Graph Neural Networks and Reinforcement Learning
- LightLLM: A Versatile Large Language Model for Predictive Light Sensing
- Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
- QABBA: Symbolic Time-Series Compression via Integer-Quantized Aggregation
- M2oE: Multimodal Collaborative Expert Peptide Model
- Conditional Distribution Learning for Graph Classification
- DAGSM: Disentangled Avatar Generation with GS-enhanced Mesh
- Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
- A Comparison of Machine Learning Algorithms for Predicting Sea Surface Temperature in the Great Barrier Reef Region
- dc-GAN: Dual-Conditioned GAN for Face Demorphing From a Single Morph
- From Statistical Methods to Pre-Trained Models; A Survey on Automatic Speech Recognition for Resource Scarce Urdu Language
- A Survey on Human-Centric LLMs
- GhostRNN: Reducing State Redundancy in RNN with Cheap Operations
- The Impossible Test: A 2024 Unsolvable Dataset and A Chance for an AGI Quiz
- Robust Planning with Compound LLM Architectures: An LLM-Modulo Approach
- DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback
- FAST-Splat: Fast, Ambiguity-Free Semantics Transfer in Gaussian Splatting
- Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver
- Federated Continual Learning for Edge-AI: A Comprehensive Survey
- Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics
- On Generalization Bounds for Neural Networks with Low Rank Layers
- Replicable Online Learning
- Exploring Large Language Models for Climate Forecasting
- Developing Normative Gait Cycle Parameters for Clinical Analysis Using Human Pose Estimation
- SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI System
- A Collaborative Ensemble Framework for CTR Prediction
- Test Security in Remote Testing Age: Perspectives from Process Data Analytics and AI
- Multi-Agent Best Arm Identification in Stochastic Linear Bandits
- Investigating Graph Neural Networks and Classical Feature-Extraction Techniques in Activity-Cliff and Molecular Property Prediction
- Your Extreme Multi-label Classifier is Secretly a Hierarchical Text Classifier for Free
- Extending Video Masked Autoencoders to 128 frames
- Differentially Private Learning Beyond the Classical Dimensionality Regime
- Bimanual Dexterity for Complex Tasks
- Hymba: A Hybrid-head Architecture for Small Language Models
- FabuLight-ASD: Unveiling Speech Activity via Body Language
- Graph neural network framework for energy mapping of hybrid monte-carlo molecular dynamics simulations of Medium Entropy Alloys
All 262
- No Free Delivery Service: Epistemic limits of passive data collection in complex social systems
- ID-Patch: Robust ID Association for Group Photo Personalization
- Sparse Input View Synthesis: 3D Representations and Reliable Priors
- MambaDETR: Query-based Temporal Modeling using State Space Model for Multi-View 3D Object Detection
- CryptoFormalEval: Integrating LLMs and Formal Verification for Automated Cryptographic Protocol Vulnerability Detection
- Principles of Visual Tokens for Efficient Video Understanding
- Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning
- Robust SG-NeRF: Robust Scene Graph Aided Neural Surface Reconstruction
- Non-Linear Outlier Synthesis for Out-of-Distribution Detection
- A Deep Learning Approach to Predict the Fall [of Price] of Cryptocurrency Long Before its Actual Fall
- Verification and Validation of Autonomous Systems
- SuPLE: Robot Learning with Lyapunov Rewards
- Efficient Streaming Voice Steganalysis in Challenging Detection Scenarios
- Video2BEV: Transforming Drone Videos to BEVs for Video-based Geo-localization
- What You See Is What Matters: A Novel Visual and Physics-Based Metric for Evaluating Video Generation Quality
- REDUCIO! Generating 1K Video within 16 Seconds using Extremely Compressed Motion Latents
- Find Any Part in 3D
- KFC-W: Generating 3D-Consistent Videos from Unposed Internet Photos
- MGHF: Multi-Granular High-Frequency Perceptual Loss for Image Super-Resolution
- Promoting User Data Autonomy During the Dissolution of a Monopolistic Firm
- Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning
- DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines
- Identity Preserving 3D Head Stylization with Multiview Score Distillation
- Comparative Analysis of Machine Learning and Deep Learning Models for Classifying Squamous Epithelial Cells of the Cervix
- Predictive Insights into LGBTQ+ Minority Stress: A Transductive Exploration of Social Media Discourse
- Entropy Bootstrapping for Weakly Supervised Nuclei Detection
- Geometric Algebra Planes: Convex Implicit Neural Volumes
- Quantum Attention for Vision Transformers in High Energy Physics
- Advancing Complex Medical Communication in Arabic with Sporo AraSum: Surpassing Existing Large Language Models
- Procurement Auctions via Approximately Optimal Submodular Optimization
- Dyson Brownian motion and random matrix dynamics of weight matrices during learning
- VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models
- Advancing Heatwave Forecasting via Distribution Informed-Graph Neural Networks (DI-GNNs): Integrating Extreme Value Theory with GNNs
- Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations
- Utilizing Large Language Models to Synthesize Product Desirability Datasets
- Conformal Prediction for Hierarchical Data
- PatentEdits: Framing Patent Novelty as Textual Entailment
- When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training
- Sampling and Integration of Logconcave Functions by Algorithmic Diffusion
- SoK: A Systems Perspective on Compound AI Threats and Countermeasures
- LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models
- Nonlinear Assimilation via Score-based Sequential Langevin Sampling
- Robust Monocular Visual Odometry using Curriculum Learning
- SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers
- CAFE A Novel Code switching Dataset for Algerian Dialect French and English
- A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback
- Unification of Balti and trans-border sister dialects in the essence of LLMs and AI Technology
- Transformer-Based Contextualized Language Models Joint with Neural Networks for Natural Language Inference in Vietnamese
- On the Way to LLM Personalization: Learning to Remember User Conversations
- Executable QR codes with Machine Learning for Industrial Applications
- Sensitivity Analysis on Policy-Augmented Graphical Hybrid Models with Shapley Value Estimation
- Adversarial Diffusion Compression for Real-World Image Super-Resolution
- Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding
- ODTE -- An ensemble of multi-class SVM-based oblique decision trees
- Predicting Wall Thickness Changes in Cold Forging Processes: An Integrated FEM and Neural Network approach
- Explainable Representation of Finite-Memory Policies for POMDPs using Decision Trees
- RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content
- Integration of Active Learning and MCMC Sampling for Efficient Bayesian Calibration of Mechanical Properties
- Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions
- Learning based Ge'ez character handwritten recognition
- Fact-Level Confidence Calibration and Self-Correction
- WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving
- An Evolutional Neural Network Framework for Classification of Microarray Data
- Are Large Language Models Memorizing Bug Benchmarks?
- Scaling Laws for Online Advertisement Retrieval
- A Resource Efficient Fusion Network for Object Detection in Bird's-Eye View using Camera and Raw Radar Data
- Can Reasons Help Improve Pedestrian Intent Estimation? A Cross-Modal Approach
- DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild
- Unbiased Scene Graph Generation by Type-Aware Message Passing on Heterogeneous and Dual Graphs
- DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition
- Combining Autoregressive and Autoencoder Language Models for Text Classification
- Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks
- Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms
- Towards Specification-Driven LLM-Based Generation of Embedded Automotive Software
- Transformers with Sparse Attention for Granger Causality
- FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation
- Paying more attention to local contrast: improving infrared small target detection performance via prior knowledge
- BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation
- On lower bounds of the density of planar periodic sets without unit distances
- Leveraging Prior Experience: An Expandable Auxiliary Knowledge Base for Text-to-SQL
- Transforming the Hybrid Cloud for Emerging AI Workloads
- BIPro: Zero-shot Chinese Poem Generation via Block Inverse Prompting Constrained Generation Framework
- AIDBench: A benchmark for evaluating the authorship identification capability of large language models
- Quantum Kernel-Based Long Short-term Memory
- Existential Conversations with Large Language Models: Content, Community, and Culture
- Proceedings Sixth International Workshop on Formal Methods for Autonomous Systems
- Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis
- LISAA: A Framework for Large Language Model Information Security Awareness Assessment
- An Integrated Approach to Robotic Object Grasping and Manipulation
- Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT Segmentation
- Engagement-Driven Content Generation with Large Language Models
- VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation
- ClickTrack: Towards Real-time Interactive Single Object Tracking
- Cross-Camera Distracted Driver Classification through Feature Disentanglement and Contrastive Learning
- SONNET: Enhancing Time Delay Estimation by Leveraging Simulated Audio
- Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems
- A Unified Analysis for Finite Weight Averaging
- Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding
- Hard-Synth: Synthesizing Diverse Hard Samples for ASR using Zero-Shot TTS and LLM
- DMQR-RAG: Diverse Multi-Query Rewriting for RAG
- Long-term Detection System for Six Kinds of Abnormal Behavior of the Elderly Living Alone
- AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation
- YCB-LUMA: YCB Object Dataset with Luminance Keying for Object Localization
- GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation
- Globally Correlation-Aware Hard Negative Generation
- Domain Adaptive Unfolded Graph Neural Networks
- Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images
- Virtual Staining of Label-Free Tissue in Imaging Mass Spectrometry
- Demonstrating the Suitability of Neuromorphic, Event-Based, Dynamic Vision Sensors for In Process Monitoring of Metallic Additive Manufacturing and Welding
- Superpixel Cost Volume Excitation for Stereo Matching
- DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV
- Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control
- Incremental Label Distribution Learning with Scalable Graph Convolutional Networks
- Omnipredicting Single-Index Models with Multi-Index Models
- Practical Compact Deep Compressed Sensing
- Neural Internal Model Control: Learning a Robust Control Policy via Predictive Error Feedback
- Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles
- AMaze: An intuitive benchmark generator for fast prototyping of generalizable agents
- Automatic marker-free registration based on similar tetrahedras for single-tree point clouds
- Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation
- Learning Multi-Branch Cooperation for Enhanced Click-Through Rate Prediction at Taobao
- Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
- Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training
- MEGL: Multimodal Explanation-Guided Learning
- On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective
- Attentive Contextual Attention for Cloud Removal
- RobustFormer: Noise-Robust Pre-training for images and videos
- Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization
- LMM-driven Semantic Image-Text Coding for Ultra Low-bitrate Learned Image Compression
- "It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large Language Models
- Probably Approximately Precision and Recall Learning
- A Theory for Compressibility of Graph Transformers for Transductive Learning
- X as Supervision: Contending with Depth Ambiguity in Unsupervised Monocular 3D Pose Estimation
- ORID: Organ-Regional Information Driven Framework for Radiology Report Generation
- Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition
- Fast MRI for All: Bridging Access Gaps by Training without Raw Data
- Chanel-Orderer: A Channel-Ordering Predictor for Tri-Channel Natural Images
- Open-World Amodal Appearance Completion
- Breaking the Cycle of Recurring Failures: Applying Generative AI to Root Cause Analysis in Legacy Banking Systems
- Scalable Deep Metric Learning on Attributed Graphs
- Deriving Activation Functions Using Integration
- LLMSteer: Improving Long-Context LLM Inference by Steering Attention on Reused Contexts
- Evaluating LLMs Capabilities Towards Understanding Social Dynamics
- Automating Sonologists USG Commands with AI and Voice Interface
- DT-LSD: Deformable Transformer-based Line Segment Detection
- Collaborative Feature-Logits Contrastive Learning for Open-Set Semi-Supervised Object Detection
- NCAirFL: CSI-Free Over-the-Air Federated Learning Based on Non-Coherent Detection
- Beyond likelihood ratio bias: Nested multi-time-scale stochastic approximation for likelihood-free parameter estimation
- MemoryFormer: Minimize Transformer Computation by Removing Fully-Connected Layers
- BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices
- Training Bilingual LMs with Data Constraints in the Targeted Language
- GazeGaussian: High-Fidelity Gaze Redirection with 3D Gaussian Splatting
- Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations
- UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
- Shrinking POMCP: A Framework for Real-Time UAV Search and Rescue
- Two-Sided Nearest Neighbors: An adaptive and minimax optimal procedure for matrix completion
- Efficient Energy-Optimal Path Planning for Electric Vehicles Considering Vehicle Dynamics
- On the Consistency of Video Large Language Models in Temporal Comprehension
- Attention-Based Reconstruction of Full-Field Tsunami Waves from Sparse Tsunameter Networks
- Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion Similarity
- On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions
- Improving Low-Fidelity Models of Li-ion Batteries via Hybrid Sparse Identification of Nonlinear Dynamics