Papers
Fri 6 Dec 2024
269 papers
- Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent SystemLLM agents and tool use → Medical and scientific domain agents
- Enhancing LLMs for Physics Problem-Solving using Reinforcement Learning with Human-AI FeedbackLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Multi-Objective Alignment of Large Language Models Through Hypervolume MaximizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- The BrowserGym Ecosystem for Web Agent ResearchLLM agents and tool use → Web, search, and research agents
- Multi-Armed Bandit Approach for Optimizing Training on Synthetic DataSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise ApplicationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAGRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- What's the Move? Hybrid Imitation Learning via Salient PointsOffline RL and imitation learning from data → Robot manipulation imitation learning
- CALICO: Conversational Agent Localization via Synthetic Data GenerationLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score GuidanceDiffusion models → Video generation
- ACT-Bench: Towards Action Controllable World Models for Autonomous DrivingWorld models → World models for autonomous driving +1
- Stag-1: Towards Realistic 4D Driving Simulation with Video Generation ModelWorld models → World models for autonomous driving
- Perturb-and-Revise: Flexible 3D Editing with Generative TrajectoriesDiffusion models → 3D, point cloud and scene generation
- Sparse autoencoders reveal selective remapping of visual concepts during adaptationMechanistic interpretability → Interpreting vision and multimodal models
- MotionFlow: Attention-Driven Motion Transfer in Video Diffusion ModelsDiffusion models → Video generation
- Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingLLM reasoning → Multimodal reasoning +1
- Reinforcement Learning: An OverviewOffline RL and imitation learning from data → Offline RL algorithms +1
- CompCap: Improving Multimodal Large Language Models with Composite CaptionsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at ScaleLLM reasoning → Multimodal reasoning +1
- LIAR: Leveraging Inference Time Alignment (Best-of-N) to Jailbreak LLMs in SecondsLLM safety and security → Jailbreaking
- BEExformer: A Fast Inferencing Binarized Transformer with Early ExitsEfficient LLM inference and serving → Early exit and edge inference
- Evaluating and Aligning CodeLLMs on Human PreferenceLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- ConQRet: Benchmarking Fine-Grained Evaluation of Retrieval Augmented Argumentation with LLM JudgesRetrieval-augmented generation → RAG robustness and adaptive retrieval
- SurgBox: Agent-Driven Operating Room Sandbox with Surgery CopilotLLM agents and tool use → Medical and scientific domain agents
- Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented GenerationRetrieval-augmented generation → RAG for code
- Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding StrategiesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- SoPo: Text-to-Motion Generation Using Semi-Online Preference OptimizationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- ReF-LDM: A Latent Diffusion Model for Reference-based Face Image RestorationDiffusion models → Inverse problems and image restoration
- Steps are all you need: Rethinking STEM Education with Prompt EngineeringLLM reasoning → Prompting and chain-of-thought reasoning
- SLayR: Scene Layout Generation with Rectified FlowDiffusion models → Image generation, text-to-image and editing
- Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise PriorsDiffusion models → Diffusion and flow policies for robotics
- FlowPolicy: Enabling Fast and Robust 3D Flow-based Policy via Consistency Flow Matching for Robot ManipulationDiffusion models → Diffusion and flow policies for robotics +1
- Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic TaskDeep reinforcement learning methods → Interpretable and logic-guided RL
- Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- Verb Mirage: Unveiling and Assessing Verb Concept Hallucinations in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video PredictionDiffusion models → Video generation
- S3: Synonymous Semantic Space for Improving Zero-Shot Generalization of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Large Language Models for Ingredient Substitution in Food Recipes using Supervised Fine-tuning and Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- UniMIC: Towards Universal Multi-modality Perceptual Image CompressionDiffusion models → Diffusion for compression and wireless
- EACO: Enhancing Alignment in Multimodal LLMs via Critical ObservationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene ReconstructionKnowledge distillation → Detection and dense prediction distillation
- MSECG: Incorporating Mamba for Robust and Efficient ECG Super-ResolutionState-space sequence models (S4, Mamba) → Physiological signal modeling
- Neuro-Symbolic Data Generation for Math ReasoningLLM reasoning → Mathematical reasoning
- SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Enabling Energy-Efficient Simultaneous Multi-Task Reinforcement Learning through Spiking Neural Networks with Active Dendrites for Bio-inspired Generalist AgentsDeep reinforcement learning methods → Spiking and neuromorphic RL
- Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Wavelet Diffusion Neural OperatorDiffusion models → Flow matching, time series and science
- Learning-based Control for Tendon-Driven Continuum Robotic ArmsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- LiFT: Leveraging Human Feedback for Text-to-Video Model AlignmentLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- GUIDE: A Global Unified Inference Engine for Deploying Large Language Models in Heterogeneous EnvironmentsEfficient LLM inference and serving → Serving systems and request scheduling
- Megatron: Evasive Clean-Label Backdoor Attacks against Vision TransformerLLM safety and security → Backdoor and data poisoning attacks
- A Temporally Correlated Latent Exploration for Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse ProblemsDiffusion models → Flow matching, time series and science
- REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New EnvironmentsRetrieval-augmented generation → Agentic RAG, agents and memory
- Diff4Steer: Steerable Diffusion Prior for Generative Music Retrieval with Semantic GuidanceDiffusion models → Audio, speech and music
- Question Answering for Decisionmaking in Green Building Design: A Multimodal Data Reasoning Method Driven by Large Language ModelsLLM reasoning → Multimodal reasoning
- Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language ModelMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow MatchingDiffusion models → Audio, speech and music
- Addressing Text Embedding Leakage in Diffusion-based Image EditingDiffusion models → Image generation, text-to-image and editing
- Parametric-ControlNet: Multimodal Control in Foundation Models for Precise Engineering Design SynthesisDiffusion models → 3D, point cloud and scene generation
- Privacy-Preserving Retrieval-Augmented Generation with Differential PrivacyRetrieval-augmented generation → Privacy and security of RAG
- Unsupervised Segmentation by Diffusing, Walking and CuttingDiffusion models → Medical imaging and segmentation
- Elucidating microstructural influences on fatigue behavior for additively manufactured Hastelloy X using Bayesian-calibrated crystal plasticity model
- Predicting Organic-Inorganic Halide Perovskite Photovoltaic Performance from Optical Properties of Constituent Films through Machine Learning
- Stably unactivated neurons in ReLU neural networks
- Feature Group Tabular Transformer: A Novel Approach to Traffic Crash Modeling and Causality Analysis
- COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving
- CigTime: Corrective Instruction Generation Through Inverse Motion Editing
- Knowledge Graphs are all you need: Leveraging KGs in Physics Question Answering
- Promoting Cooperation in the Public Goods Game using Artificial Intelligent Agents
- From Voice to Value: Leveraging AI to Enhance Spoken Online Reviews on the Go
- Statistical Mechanics of Support Vector Regression
- Granular Ball K-Class Twin Support Vector Classifier
- DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services
- UniScene: Unified Occupancy-centric Driving Scene Generation
- Diversity Over Quantity: A Lesson From Few Shot Relation Classification
- Swap Path Network for Robust Person Search Pre-training
- DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA
- KEDformer:Knowledge Extraction Seasonal Trend Decomposition for Long-term Sequence Prediction
- No Free Lunch From Random Feature Ensembles: Scaling Laws and Near-Optimality Conditions
- FogROS2-FT: Fault Tolerant Cloud Robotics
- Knowledge-Based Deep Learning for Time-Efficient Inverse Dynamics
- YOLOv5-Based Object Detection for Emergency Response in Aerial Imagery
- HiVeGen -- Hierarchical LLM-based Verilog Generation for Scalable Chip Design
- Tabular data generation with tensor contraction layers and transformers
- DIFEM: Key-points Interaction based Feature Extraction Module for Violence Recognition in Videos
- Incremental Sentence Processing Mechanisms in Autoregressive Transformer Language Models
- Towards Predicting the Success of Transfer-based Attacks by Quantifying Shared Feature Representations
- Accurate early detection of Parkinson's disease from SPECT imaging through Convolutional Neural Networks
- Automated Dynamic Image Analysis for Particle Size and Shape Classification in Three Dimensions
- BadGPT-4o: stripping safety finetuning from GPT models
- Osteoporosis Prediction from Hand X-ray Images Using Segmentation-for-Classification and Self-Supervised Learning
- Equivariant Denoisers for Image Restoration
- Multi-Party Supervised Fine-tuning of Language Models for Multi-Party Dialogue Generation
- Generative Model-Based Fusion for Improved Few-Shot Semantic Segmentation of Infrared Images
- PyTerrier-GenRank: The PyTerrier Plugin for Reranking with Large Language Models
- Birth and Death of a Rose
- Text to Blind Motion
- SimC3D: A Simple Contrastive 3D Pretraining Framework Using RGB Images
- APOLLO: SGD-like Memory, AdamW-level Performance
All 269
- Chemist-aligned retrosynthesis by ensembling diverse inductive bias models
- DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
- Mind the Time: Temporally-Controlled Multi-Event Video Generation
- Extrapolated Urban View Synthesis Benchmark
- TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft
- From classical techniques to convolution-based models: A review of object detection algorithms
- Uncertainty Quantification for Transformer Models for Dark-Pattern Detection
- Enhancing FKG.in: automating Indian food composition analysis
- Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
- Physics-informed reduced order model with conditional neural fields
- 100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo
- Transformers Meet Relational Databases
- ColonNet: A Hybrid Of DenseNet121 And U-NET Model For Detection And Segmentation Of GI Bleeding
- AI's assigned gender affects human-AI cooperation
- A Survey of Large Language Model-Based Generative AI for Text-to-SQL: Benchmarks, Applications, Use Cases, and Challenges
- Global Optimization with A Power-Transformed Objective and Gaussian Smoothing
- Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era
- Are Frontier Large Language Models Suitable for Q&A in Science Centres?
- Exponential Speedups by Rerooting Levin Tree Search
- One-shot Federated Learning via Synthetic Distiller-Distillate Communication
- LinVT: Empower Your Image-level Large Language Model to Understand Videos
- QueEn: A Large Language Model for Quechua-English Translation
- Privacy Drift: Evolving Privacy Concerns in Incremental Learning
- DreamColour: Controllable Video Colour Editing without Training
- Spatially-Adaptive Hash Encodings For Neural Surface Reconstruction
- Variational Encoder-Decoders for Learning Latent Representations of Physical Systems
- Towards Understanding the Role of Sharpness-Aware Minimization Algorithms for Out-of-Distribution Generalization
- Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models
- A Differentially Private Kaplan-Meier Estimator for Privacy-Preserving Survival Analysis
- DNF: Unconditional 4D Generation with Dictionary-based Neural Fields
- Gaining Explainability from a CNN for Stereotype Detection Based on Mice Stopping Behavior
- Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection
- A text-to-tabular approach to generate synthetic patient data using LLMs
- Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation
- BIAS: A Body-based Interpretable Active Speaker Approach
- Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
- LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation
- Explingo: Explaining AI Predictions using Large Language Models
- ε-rank and the Staircase Phenomenon: New Insights into Neural Network Training Dynamics
- A Practical Examination of AI-Generated Text Detectors for Large Language Models
- Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale?
- The Polynomial Stein Discrepancy for Assessing Moment Convergence
- How to Squeeze An Explanation Out of Your Model
- Learning Hidden Physics and System Parameters with Deep Operator Networks
- Dirac-Equation Signal Processing: Physics Boosts Topological Machine Learning
- Technology as uncharted territory: Contextual integrity and the notion of AI as new ethical ground
- The Prompt Canvas: A Literature-Based Practitioner Guide for Creating Effective Prompts in Large Language Models
- Skewed Neuronal Heterogeneity Enhances Efficiency On Various Computing Systems
- Transformers Can Navigate Mazes With Multi-Step Prediction
- A*Net and NBFNet Learn Negative Patterns on Knowledge Graphs
- Modeling Task Immersion based on Goal Activation Mechanism
- Generating Rectifiable Measures through Neural Networks
- Constructing optimal treatment length strategies to maximize quality-adjusted lifetimes
- Integrating Semantic Communication and Human Decision-Making into an End-to-End Sensing-Decision Framework
- The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation
- From Defects to Demands: A Unified, Iterative, and Heuristically Guided LLM-Based Framework for Automated Software Repair and Requirement Realization
- Reconstructing Quantitative Cerebral Perfusion Images Directly From Measured Sinogram Data Acquired Using C-arm Cone-Beam CT
- Spinal ligaments detection on vertebrae meshes using registration and 3D edge detection
- Improving analytical color and texture similarity estimation methods for dataset-agnostic person reidentification
- LoFi: Vision-Aided Label Generator for Wi-Fi Localization and Tracking
- BimArt: A Unified Approach for the Synthesis of 3D Bimanual Interaction with Articulated Objects
- Reconstruction of 3D lumbar spine models from incomplete segmentations using landmark detection
- EvTTC: An Event Camera Dataset for Time-to-Collision Estimation
- OCEAN: Open-World Contrastive Authorship Identification
- Improving Post-Earthquake Crack Detection using Semi-Synthetic Generated Images
- SMIC: Semantic Multi-Item Compression based on CLIP dictionary
- Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning
- Unifying Dual-Space Embedding for Entity Alignment via Contrastive Learning
- Talking Like One of Us: Effects of Using Regional Language in a Humanoid Social Robot
- Get It Right: Improving Comprehensibility with Adaptable Speech Expression of a Humanoid Service Robot
- Project Report: Requirements for a Social Robot as an Information Provider in the Public Sector
- SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency
- Backdooring Outlier Detection Methods: A Novel Attack Approach
- Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis
- ETLNet: An Efficient TCN-BiLSTM Network for Road Anomaly Detection Using Smartphone Sensors
- Power Plant Detection for Energy Estimation using GIS with Remote Sensing, CNN & Vision Transformers
- Frontier Models are Capable of In-context Scheming
- Causal discovery with endogenous context variables
- PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning
- Flash Communication: Reducing Tensor Parallelization Bottleneck for Fast Large Language Model Inference
- MixedGaussianAvatar: Realistically and Geometrically Accurate Head Avatar via Mixed 2D-3D Gaussians
- Bed-Attached Vibration Sensor System: A Machine Learning Approach for Fall Detection in Nursing Homes
- KaLM: Knowledge-aligned Autoregressive Language Modeling via Dual-view Knowledge Graph Contrastive Learning
- C2LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation
- HOLa: HoloLens Object Labeling
- A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities
- Who Speaks Next? Multi-party AI Discussion Leveraging the Systematics of Turn-taking in Murder Mystery Games
- Probing the contents of semantic representations from text, behavior, and brain data using the psychNorms metabase
- Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions
- DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection
- Video Decomposition Prior: A Methodology to Decompose Videos into Layers
- Follow the money: a startup-based measure of AI exposure across occupations, industries and regions
- HyperGraphOS: A Meta Operating System for Science and Engineering
- Hard Math -- Easy UVM: Pragmatic solutions for verifying hardware algorithms using UVM
- Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection
- Achieving Group Fairness through Independence in Predictive Process Monitoring
- Learning High-Degree Parities: The Crucial Role of the Initialization
- DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling
- Mitigating Instance-Dependent Label Noise: Integrating Self-Supervised Pretraining with Pseudo-Label Refinement
- Comprehensive Analysis and Improvements in Pansharpening Using Deep Learning
- Automatic Tongue Delineation from MRI Images with a Convolutional Neural Network Approach
- VTD: Visual and Tactile Database for Driver State and Behavior Perception
- AI-Driven Non-Invasive Detection and Staging of Steatosis in Fatty Liver Disease Using a Novel Cascade Model and Information Fusion Techniques
- Nonmyopic Global Optimisation via Approximate Dynamic Programming
- MozzaVID: Mozzarella Volumetric Image Dataset
- Automatic Tissue Differentiation in Parotidectomy using Hyperspectral Imaging
- Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud
- NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing
- MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects
- EXAONE 3.5: Series of Large Language Models for Real-world Use Cases
- Breaking Event Rumor Detection via Stance-Separated Multi-Agent Debate
- Rethink Deep Learning with Invariance in Data Representation
- GS-Matching: Reconsidering Feature Matching task in Point Cloud Registration
- eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path Rules
- Using Machine Learning to Discover Parsimonious and Physically-Interpretable Representations of Catchment-Scale Rainfall-Runoff Dynamics
- UniMLVG: Unified Framework for Multi-view Long Video Generation with Comprehensive Control Capabilities for Autonomous Driving
- Adaptive Dropout for Pruning Conformers
- Neural Representation for Wireless Radiation Field Reconstruction: A 3D Gaussian Splatting Approach
- Customized Generation Reimagined: Fidelity and Editability Harmonized
- DAug: Diffusion-based Channel Augmentation for Radiology Image Retrieval and Classification
- PanoDreamer: Optimization-Based Single Image to 360 3D Scene With Diffusion
- Pushing Rendering Boundaries: Hard Gaussian Splatting
- CCS: Continuous Learning for Customized Incremental Wireless Sensing Services
- Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and Perspectives
- NeST: Neighborhood-aware semantic alignment and temporal modulation for LLM based time series forecasting
- Unsupervised Hyperspectral Image Super-Resolution via Self-Supervised Modality Decoupling
- Estimating the treatment effect over time under general interference through deep learner integrated TMLE
- Multi-class heart disease Detection, Classification, and Prediction using Machine Learning Models
- DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains
- Direct Quantized Training of Language Models with Stochastic Rounding
- Slicing Vision Transformer for Flexible Inference
- Differentially Private Random Feature Model
- NLP-ADBench: NLP Anomaly Detection Benchmark
- KNN-MMD: Cross Domain Wireless Sensing via Local Distribution Alignment
- A Survey of Sustainability in Large Language Models: Applications, Economics, and Challenges
- DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection
- Anomaly Detection and Classification in Knowledge Graphs
- IterL2Norm: Fast Iterative L2-Normalization
- Foundation Models for Low-Resource Language Education (Vision Paper)
- Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection
- Towards counterfactual fairness through auxiliary variables
- Short-term Streamflow and Flood Forecasting based on Graph Convolutional Recurrent Neural Network and Residual Error Learning
- Measuring Goal-Directedness
- Ltri-LLM: Streaming Long Context Inference for LLMs with Training-Free Dynamic Triangular Attention Pattern
- ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language Models
- Latent Space Characterization of Autoencoder Variants
- Graph Neural Network Based Action Ranking for Planning
- Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review
- Decomposed Distribution Matching in Dataset Condensation
- SPARC: Scalable Path-Specific Counterfactual Fairness via Causal Conditional Independence
- DHIL-GT: Scalable Graph Transformer with Decoupled Hierarchy Labeling
- Generative Humanization for Therapeutic Antibodies
- Modeling High-Dimensional Dependent Data in the Presence of Many Explanatory Variables and Weak Signals
- A Survey and Benchmarking of Spatial-Temporal Traffic Data Imputation Models
- TelOps: AI-driven Operations and Maintenance for Telecommunication Networks
- Learning to Translate Noise for Robust Image Denoising
- BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English
- Mix-Modality Person Re-Identification: A New and Practical Paradigm
- Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training
- NoLoR: An ASR-Based Framework for Expedited Endangered Language Documentation with Neo-Aramaic as a Case Study
- PCTreeS: 3D Point Cloud Tree Species Classification Using Airborne LiDAR Images
- Lost in Transmission: An Information-Theoretic Account of Unsupervised Software Traceability
- Transformers Struggle to Learn to Search
- Smoothie: Label Free Language Model Routing
- LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs
- From Principles to Practice: A Deep Dive into AI Ethics and Regulations
- Two stages domain invariant representation learners solve the large co-variate shift in unsupervised domain adaptation with two dimensional data domains
- Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens
- Zephyr quantum-assisted hierarchical Calo4pQVAE for particle-calorimeter interactions