Papers
Wed 13 Nov 2024
241 papers
- CHAI for LLMs: Improving Code-Mixed Translation in Large Language Models through Reinforcement Learning with AI FeedbackLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- ClevrSkills: Compositional Language and Visual Reasoning in RoboticsLLM reasoning → Spatial and embodied reasoning
- DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language ModelsLLM reasoning → Spatial and embodied reasoning
- Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted CaptionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Lynx: Enabling Efficient MoE Inference through Dynamic Batch-Aware Expert SelectionMixture-of-experts → Efficient MoE training and inference systems
- Sparse Upcycling: Inference Inefficient FinetuningMixture-of-experts → MoE large language models
- Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better SamplesDiffusion models → Diffusion foundations and sampling
- The Limited Impact of Medical Adaptation of Large Language and Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- LLMStinger: Jailbreaking LLMs using RL fine-tuned LLMsLLM safety and security → Jailbreaking
- Multimodal Instruction Tuning with Hybrid State Space ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Offline Adaptation of Quadruped Locomotion using Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- LLM-Based World Models Can Make Decisions Solely, But Rigorous Evaluations are NeededWorld models → World models for language agents
- Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in TransformersLLM reasoning → Reasoning benchmarks and evaluation
- Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Retrieval Augmented Recipe GenerationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Analogical Reasoning Within a Conceptual HyperspaceLLM reasoning → Reasoning benchmarks and evaluation
- Towards More Accurate Fake Detection on Images Generated from Advanced Generative and Neural Rendering ModelsDiffusion models → Image generation, text-to-image and editing
- Robot See, Robot Do: Imitation Reward for Noisy Financial EnvironmentsOffline RL and imitation learning from data → Inverse reinforcement learning
- LG-Gaze: Learning Geometry-aware Continuous Prompts for Language-Guided Gaze EstimationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Neural Corrective Machine UnrankingLLM safety and security → Machine unlearning
- Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet)LLM reasoning → Reasoning for agents, planning and code
- Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive HashingMixture-of-experts → Efficient MoE training and inference systems
- Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRALLM safety and security → Machine unlearning
- Towards Optimizing a Retrieval Augmented Generation using Large Language Model on Academic DataRetrieval-augmented generation → RAG pipeline design and evaluation
- One STEP at a time: Language Agents are Stepwise PlannersLLM agents and tool use → General LLM agent frameworks and benchmarks
- Enhanced Classroom Dialogue Sequences Analysis with a Hybrid AI Agent: Merging Expert Rule-Base with Large Language ModelsLLM agents and tool use → Educational agents and math problem solving
- The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and DefenseLLM safety and security → Jailbreaking
- V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object DetectionDiffusion models → 3D, point cloud and scene generation
- MambaXCTrack: Mamba-based Tracker with SSM Cross-correlation and Motion Prompt for Ultrasound Needle TrackingState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Physics Informed Distillation for Diffusion ModelsDiffusion models → Flow matching, time series and science
- Modeling Stochastic Conditional Dynamics from Sparse Observations via Kernel-Stabilized Flow MatchingDiffusion models → Flow matching, time series and science
- RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward RedistributionLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Collaborative Participatory Research with LLM Agents in South Asia: An Empirically-Grounded Methodological Initiative and Agenda from Field Evidence in Sri LankaLLM agents and tool use → Social simulation and multi-agent debate
- Open-World Task and Motion Planning via Vision-Language Model Generated ConstraintsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders
- The Femininomenon of Inequality: A Data-Driven Analysis and Cluster Profiling in Indonesia
- The use of knowledge in open-ended systems
- Quantity versus Diversity: Influence of Data on Detecting EEG Pathology with Advanced ML Models
- Towards Efficient Neurally-Guided Program Induction for ARC-AGI
- A Composite Fault Diagnosis Model for NPPs Based on Bayesian-EfficientNet Module
- Direct Speech-to-Speech Neural Machine Translation: A Survey
- SAM-I2I: Unleash the Power of Segment Anything Model for Medical Image Translation
- Physics-Informed Neural Networks for Electrical Circuit Analysis: Applications in Dielectric Material Modeling
- Boolean-aware Boolean Circuit Classification: A Comprehensive Study on Graph Neural Network
- Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained Labeling
- Challenges in the Differential Classification of Individual Diagnoses from Co-Occurring Autism and ADHD Using Survey Data
- Machine learning approaches to explore important features behind bird flight modes
- ReMP: Reusable Motion Prior for Multi-domain 3D Human Pose Estimation and Motion Inbetweening
- Set-Based Retrograde Analysis: Precomputing the Solution to 24-card Bridge Double Dummy Deals
- Drone Detection using Deep Neural Networks Trained on Pure Synthetic Data
- Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning
- Liner Shipping Network Design with Reinforcement Learning
- A multidimensional measurement of photorealistic avatar quality of experience
- Language-Model Prior Overcomes Cold-Start Items
- Minimax Optimal Two-Sample Testing under Local Differential Privacy
- Multimodal Object Detection using Depth and Image Data for Manufacturing Parts
- Optimisation Strategies for Ensuring Fairness in Machine Learning: With and Without Demographics
- SAFELOC: Overcoming Data Poisoning Attacks in Heterogeneous Federated Machine Learning for Indoor Localization
- The Systems Engineering Approach in Times of Large Language Models
- Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset
- Pay Attention to the Keys: Visual Piano Transcription Using Transformers
- Transformer-based Time-Series Biomarker Discovery for COPD Diagnosis
- CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation
- Cut Your Losses in Large-Vocabulary Language Models
- Scale Contrastive Learning with Selective Attentions for Blind Image Quality Assessment
- Refusal in LLMs is an Affine Function
- Microfoundation Inference for Strategic Prediction
- Computed tomography using meta-optics
- Parameter Inference via Differentiable Diffusion Bridge Importance Sampling
- IDCIA: Immunocytochemistry Dataset for Cellular Image Analysis
- Non-Euclidean High-Order Smooth Convex Optimization
- Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems
- CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt
- Robustness and Confounders in the Demographic Alignment of LLMs with Human Perceptions of Offensiveness
- Fluoroformer: Scaling multiple instance learning to multiplexed images via attention-based channel fusion
- Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head
- Clustered Patch Embeddings for Permutation-Invariant Classification of Whole Slide Images
- Classification of Keratitis from Eye Corneal Photographs using Deep Learning
- Predicting household socioeconomic position in Mozambique using satellite and household imagery
- Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness
- PyGen: A Collaborative Human-AI Approach to Python Package Creation
- 4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization
- A Short Note on Evaluating RepNet for Temporal Repetition Counting in Videos
- Causal Explanations for Image Classifiers
- CamemBERT 2.0: A Smarter French Language Model Aged to Perfection
- Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles
- Interaction Testing in Variation Analysis
- Oblique Bayesian additive regression trees
- Data-driven Surface Solar Irradiance Estimation using Neural Operators at Global Scale
- AstroM3: A self-supervised multimodal model for astronomy
- Conditional Local Importance by Quantile Expectations
- Process-aware Human Activity Recognition
- Rethinking CyberSecEval: An LLM-Aided Approach to Evaluation Critique
- FinRobot: AI Agent for Equity Research and Valuation with Large Language Models
- Deep Learning Accelerated Quantum Transport Simulations in Nanoelectronics: From Break Junctions to Field-Effect Transistors
- Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence
- Locally Private Sampling with Public Data
- Can sparse autoencoders be used to decompose and interpret steering vectors?
- Zero-shot Cross-lingual Transfer Learning with Multiple Source and Target Languages for Information Extraction: Language Selection and Adversarial Training
All 241
- LUDO: Low-Latency Understanding of Deformable Objects using Point Cloud Occupancy Functions
- Optimal Oblivious Subspace Embeddings with Near-optimal Sparsity
- Sharingan: Extract User Action Sequence from Desktop Recordings
- SANDWICH: Towards an Offline, Differentiable, Fully-Trainable Wireless Neural Ray-Tracing Surrogate
- Mapping Methane -- The Impact of Dairy Farm Practices on Emissions Through Satellite Data and Machine Learning
- Flow reconstruction in time-varying geometries using graph neural networks
- Energy Dissipation Preserving Physics Informed Neural Network for Allen-Cahn Equations
- ScaleNet: Scale Invariance Learning in Directed Graphs
- Masked Image Modeling Boosting Semi-Supervised Semantic Segmentation
- Weakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Network
- Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos
- Multi-Perspective Stance Detection
- Optimal Transport-Based Displacement Interpolation with Data Augmentation for Reduced Order Modeling of Nonlinear Dynamical Systems
- A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models
- Bayesian Comparisons Between Representations
- Recommender systems and reinforcement learning for human-building interaction and context-aware support: A text mining-driven review of scientific literature
- Polymetis:Large Language Modeling for Multiple Material Domains
- Analyst Reports and Stock Performance: Evidence from the Chinese Market
- High-resolution optical and acoustic remote sensing datasets of the Puck Lagoon, Southern Baltic
- Are Triggers Needed for Document-Level Event Extraction?
- Searching Latent Program Spaces
- MVKTrans: Multi-View Knowledge Transfer for Robust Multiomics Classification
- TRACE: Transformer-based Risk Assessment for Clinical Evaluation
- Rethinking negative sampling in content-based news recommendation
- FedSub: Introducing Class-aware Subnetworks Fusion to Enhance Personalized Federated Learning
- Scholarly Wikidata: Population and Exploration of Conference Data in Wikidata using LLMs
- A Likelihood Approach for Inference of Population Heterogeneity in Particle Ensembles with Second-Order Langevin Dynamics
- Diagnosing Neural Convergence with Topological Alignment Spectra
- Theoretical Analysis of Byte-Pair Encoding
- A Machine Learning Algorithm for Finite-Horizon Stochastic Control Problems in Economics
- A Survey on Vision Autoregressive Model
- OSMLoc: Single Image-Based Visual Localization in OpenStreetMap with Fused Geometric and Semantic Guidance
- UniMat: Unifying Materials Embeddings through Multi-modal Learning
- Toward Human Understanding with Controllable Synthesis
- MikuDance: Animating Character Art with Mixed Motion Dynamics
- Accelerating Quasi-Static Time Series Simulations with Foundation Models
- Estimating unknown parameters in differential equations with a reinforcement learning based PSO method
- A System Level Performance Evaluation for Superconducting Digital Systems
- DipMe: Haptic Recognition of Granular Media for Tangible Interactive Applications
- Towards Secure Intelligent O-RAN Architecture: Vulnerabilities, Threats and Promising Technical Solutions using LLMs
- Graph Neural Network Generalization with Gaussian Mixture Model Based Augmentation
- Deep Generative Demand Learning for Newsvendor and Pricing
- Zero-shot capability of SAM-family models for bone segmentation in CT scans
- Precision-Focused Reinforcement Learning Model for Robotic Object Pushing
- Dynamic Subset Tuning: Expanding the Operational Range of Parameter-Efficient Training for Large Language Models
- Lo-MARVE: A Low Cost Autonomous Underwater Vehicle for Marine Exploration
- Generalized Pose Space Embeddings for Training In-the-Wild using Anaylis-by-Synthesis
- A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL
- Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model
- Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory Retrieval
- DeepUQ: Assessing the Aleatoric Uncertainties from two Deep Learning Methods
- Optimizing Automatic Summarization of Long Clinical Records Using Dynamic Context Extension:Testing and Evaluation of the NBCE Method
- An Empirical Examination of the Evaluative AI Framework
- Intelligent Algorithms For Signature Diagnostics Of Three-Phase Motors
- NavAgent: Multi-scale Urban Street View Fusion For UAV Embodied Vision-and-Language Navigation
- UIFormer: A Unified Transformer-based Framework for Incremental Few-Shot Object Detection and Instance Segmentation
- Saliency Map-based Image Retrieval using Invariant Krawtchouk Moments
- Grammarization-Based Grasping with Deep Multi-Autoencoder Latent Space Exploration by Reinforcement Learning Agent
- Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions
- LogLLM: Log-based Anomaly Detection Using Large Language Models
- Learning Locally Adaptive Metrics that Enhance Structural Representation with textttLAMINAR
- CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs
- Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits
- Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks
- APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments
- Deeper Insights into Learning Performance of Stochastic Configuration Networks
- MLV2-Net: Rater-Based Majority-Label Voting for Consistent Meningeal Lymphatic Vessel Segmentation
- Neural Topic Modeling with Large Language Models in the Loop
- ACROSS: A Deformation-Based Cross-Modal Representation for Robotic Tactile Perception
- Classification and Morphological Analysis of DLBCL Subtypes in H&E-Stained Slides
- Efficient Whole Slide Image Classification through Fisher Vector Representation
- Gendered Words and Grant Rates: A Textual Analysis of Disparate Outcomes in the Patent System
- A spatiotemporal fused network considering electrode spatial topology and time-window transition for MDD detection
- Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding
- Explainers' Mental Representations of Explainees' Needs in Everyday Explanations
- BillBoard Splatting (BBSplat): Learnable Textured Primitives for Novel View Synthesis
- Towards Operationalizing Right to Data Protection
- Towards Objective and Unbiased Decision Assessments with LLM-Enhanced Hierarchical Attention Networks
- Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study
- UNSCT-HRNet: Modeling Anatomical Uncertainty for Landmark Detection in Total Hip Arthroplasty
- Methodology for an Analysis of Influencing Factors on 3D Object Detection Performance
- Learning Model Agnostic Explanations via Constraint Programming
- A survey on Graph Deep Representation Learning for Facial Expression Recognition
- HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere
- ℓ0 factor analysis
- A Generation Framework with Strict Constraints for Crystal Materials Design
- Symbolic-AI-Fusion Deep Learning (SAIF-DL): Encoding Knowledge into Training with Answer Set Programming Loss Penalties by a Novel Loss Function Approach
- Trap-MID: Trapdoor-based Defense against Model Inversion Attacks
- Biomass phenotyping of oilseed rape through UAV multi-view oblique imaging with 3DGS and SAM model
- AD-DINO: Attention-Dynamic DINO for Distance-Aware Embodied Reference Understanding
- Towards Evaluating Large Language Models for Graph Query Generation
- Learning Dynamic Cognitive Map with Autonomous Navigation
- 3D Multi-Object Tracking with Semi-Supervised GRU-Kalman Filter
- Properties of fairness measures in the context of varying class imbalance and protected group ratios
- A Heterogeneous Graph Neural Network Fusing Functional and Structural Connectivity for MCI Diagnosis
- Material Property Prediction with Element Attribute Knowledge Graphs and Multimodal Representation Learning
- DiVR: incorporating context from diverse VR scenes for human trajectory prediction
- Quantifying Qualitative Insights: Leveraging LLMs to Market Predict
- BAMAX: Backtrack Assisted Multi-Agent Exploration using Reinforcement Learning
- CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision
- RLInspect: An Interactive Visual Approach to Assess Reinforcement Learning Algorithm
- Expected information gain estimation via density approximations: Sample allocation and dimension reduction
- Interpretable Syntactic Representations Enable Hierarchical Word Vectors
- EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation
- Developing an Effective Training Dataset to Enhance the Performance of AI-based Speaker Separation Systems
- Federated Graph Learning with Graphless Clients
- Multiscale Graph Construction Using Non-local Cluster Features
- A Fuzzy Reinforcement LSTM-based Long-term Prediction Model for Fault Conditions in Nuclear Power Plants
- Surprisingly Popular Voting for Concentric Rank-Order Models
- Coverage Analysis for Digital Cousin Selection -- Improving Multi-Environment Q-Learning
- Optimal Decentralized Smoothed Online Convex Optimization
- Refining Translations with LLMs: A Constraint-Aware Iterative Prompting Approach
- A Chinese Multi-label Affective Computing Dataset Based on Social Media Network Users
- Bangla Grammatical Error Detection Leveraging Transformer-based Token Classification
- Generative AI for Data Augmentation in Wireless Networks: Analysis, Applications, and Case Study
- DyConfidMatch: Dynamic Thresholding and Re-sampling for 3D Semi-supervised Learning
- DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios
- MIRe: Enhancing Multimodal Queries Representation via Fusion-Free Modality Interaction for Multimodal Retrieval
- SASE: A Searching Architecture for Squeeze and Excitation Operations
- Learning-Augmented Algorithms for Online Concave Packing and Convex Covering Problems
- Motion Control for Enhanced Complex Action Video Generation
- Neural Conjugate Flows: Physics-informed architectures with flow structure
- Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle
- Responsible AI in Construction Safety: Systematic Evaluation of Large Language Models and Prompt Engineering
- PerceiverS: A Multi-Scale Perceiver with Effective Segmentation for Long-Term Expressive Symbolic Music Generation
- Evaluating Molecule Synthesizability via Retrosynthetic Planning and Reaction Prediction
- Robust Divergence Learning for Missing-Modality Segmentation
- DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach
- TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property
- Choix d'un espace de repr'esentation image adapt'e `a la d'etection de r'eseaux routiers
- Noisy image decomposition: a new structure, texture and noise model based on local adaptivity
- Restoration algorithms and system performance evaluation for active imagers
- RESOLVE: Relational Reasoning with Symbolic and Object-Level Features Using Vector Symbolic Processing
- Hashing for Protein Structure Similarity Search
- MBA-SLAM: Motion Blur Aware Gaussian Splatting SLAM
- Knowledge Bases in Support of Large Language Models for Processing Web News
- A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look
- LBONet: Supervised Spectral Descriptors for Shape Analysis
- Least Squares Training of Quadratic Convolutional Neural Networks with Applications to System Theory
- GPTree: Towards Explainable Decision-Making via LLM-powered Decision Trees
- Toward Automated Validation of Language Model Synthesized Test Cases using Semantic Entropy