Papers
Thu 9 Jan 2025
232 papers
- Contextual Bandit Optimization with Pre-Trained Neural NetworksLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous WordsLLM reasoning → Reasoning benchmarks and evaluation +1
- Vision-Language Models for Autonomous Driving: CLIP-Based Dynamic Scene UnderstandingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large ContextsRetrieval-augmented generation → RAG pipeline design and evaluation
- Strategy Masking: A Method for Guardrails in Value-based Reinforcement Learning AgentsLLM safety and security → Prompt injection and agent security +1
- ReFocus: Visual Editing as a Chain of Thought for Structured Image UnderstandingLLM reasoning → Multimodal reasoning +1
- Decentralized Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning BenchmarkLLM reasoning → Multimodal reasoning +1
- Progressive Growing of Video Tokenizers for Temporally Compact Latent SpacesDiffusion models → Video generation
- Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D GenerationDiffusion models → 3D, point cloud and scene generation
- Adaptive Path-Planning for Autonomous Robots: A UCH-Enhanced Q-Learning ApproachDeep reinforcement learning methods → RL for robot navigation and UAV control
- Accelerated Diffusion Models via Speculative SamplingDiffusion models → Discrete and text diffusion +1
- Search-o1: Agentic Search-Enhanced Large Reasoning ModelsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- SC-Pro: Training-Free Framework for Defending Unsafe Image Synthesis AttackDiffusion models → Robustness, privacy and adversarial aspects
- Stream Aligner: Efficient Sentence-Level Alignment via Distribution InductionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task LearningWorld models → Latent dynamics models and model-based RL +1
- Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless ComputingMixture-of-experts → Efficient MoE training and inference systems
- CallNavi, A Challenge and Empirical Study on LLM Function Calling and RoutingLLM agents and tool use → Tool learning and function calling
- RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language ModelsRetrieval-augmented generation → Privacy and security of RAG +1
- Harnessing Large Language and Vision-Language Models for Robust Out-of-Distribution DetectionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D VolumesDiffusion models → 3D, point cloud and scene generation
- Global Compression Commander: Plug-and-Play Inference Acceleration for High-Resolution Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- FaceMe: Robust Blind Face Restoration with Personal IdentificationDiffusion models → Inverse problems and image restoration
- Emergence of polarization in networks of large language model agentsLLM agents and tool use → Social simulation and multi-agent debate
- Biomedical Relation Extraction via Adaptive Document-Relation Cross-Mapping and Concept Unique IdentifierRetrieval-augmented generation → Medical and biomedical RAG
- Centurio: On Drivers of Multilingual Ability of Large Vision-Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- EquiBoost: An Equivariant Boosting Approach to Molecular Conformation GenerationDiffusion models → Flow matching, time series and science
- ResPanDiff: Diffusion Model for Pansharpening by Inferring Residual InferenceDiffusion models → Inverse problems and image restoration
- DriVLM: Domain Adaptation of Vision-Language Models in Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Commonsense Video Question Answering through Video-Grounded Entailment Tree ReasoningLLM reasoning → Multimodal reasoning
- D3RM: A Discrete Denoising Diffusion Refinement Model for Piano TranscriptionDiffusion models → Audio, speech and music
- LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language ModelsEnd-to-end autonomous driving → Reinforcement learning for driving
- ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition BenchmarkMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning ApplicationsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- TreeKV: Smooth Key-Value Cache Compression with Tree StructuresEfficient LLM inference and serving → KV cache optimization
- CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
- Open Problems in Machine Unlearning for AI SafetyLLM safety and security → Machine unlearning
- MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image ClassificationState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- Jailbreaking Multimodal Large Language Models via Shuffle InconsistencyMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow MatchingDiffusion models → Audio, speech and music
- JELLY: Joint Emotion Recognition and Context Reasoning with LLMs for Conversational Speech SynthesisLLM reasoning → Audio-language model reasoning
- SUGAR: Leveraging Contextual Confidence for Smarter RetrievalRetrieval-augmented generation → RAG robustness and adaptive retrieval
- World of ScoreCraft: Novel Multi Scorer Experiment on the Impact of a Decision Support System in Sleep Staging
- Large language models streamline automated systematic review: A preliminary study
- Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing
- Runtime Analysis of Evolutionary Algorithms for Multi-party Multi-objective Optimization
- Towards Dynamic Neural Communication and Speech Neuroprosthesis Based on Viseme Decoding
- A Multi-Layer CNN-GRUSKIP model based on transformer for spatial TEMPORAL traffic flow prediction
- OpenAI ChatGPT interprets Radiological Images: GPT-4 as a Medical Doctor for a Fast Check-Up
- Clustering with Uniformity- and Neighbor-Based Random Geometric Graphs
- AgoraSpeech: A multi-annotated comprehensive dataset of political discourse through the lens of humans and AI
- GelBelt: A Vision-based Tactile Sensor for Continuous Sensing of Large Surfaces
- Towards smart and adaptive agents for active sensing on edge devices
- CAMs as Shapley Value-based Explainers
- Quantum Down Sampling Filter for Variational Auto-encoder
- Unlocking In-Context Learning for Natural Datasets Beyond Language Modelling
- Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method
- The State of Post-Hoc Local XAI Techniques for Image Processing: Challenges and Motivations
- Transformer-Squared: Self-adaptive LLMs
- Watermarking Graph Neural Networks via Explanations for Ownership Protection
- Bit-depth color recovery via off-the-shelf super-resolution models
- Towards Probabilistic Inference of Human Motor Intentions by Assistive Mobile Robots Controlled via a Brain-Computer Interface
- Harmonizing Metadata of Language Resources for Enhanced Querying and Accessibility
- Advancing Personalized Learning Analysis via an Innovative Domain Knowledge Informed Attention-based Knowledge Tracing Method
- Exploring Large Language Models for Translating Romanian Computational Problems into English
- Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement Learning
- Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations
- Learned Discrepancy Reconstruction and Benchmark Dataset for Magnetic Particle Imaging
- Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics
- Approximate Supervised Object Distance Estimation on Unmanned Surface Vehicles
- Analog Bayesian neural networks are insensitive to the shape of the weight distribution
- Prediction-Assisted Online Distributed Deep Learning Workload Scheduling in GPU Clusters
- Forget About It: Mitigating Forgetting Without Replay or Auxiliary Objectives
- Improving Zero-Shot Object-Level Change Detection by Incorporating Visual Correspondence
- The dynamics of meaning through time: Assessment of Large Language Models
- Emergent weight morphologies in deep neural networks
- Customizable LLM-Powered Chatbot for Behavioral Science Research
- OmniJet-αC: Learning point cloud calorimeter simulations using generative transformers
- Outlyingness Scores with Cluster Catch Digraphs
- Neural Architecture Codesign for Fast Physics Applications
- OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?
- The more polypersonal the better -- a short look on space geometry of fine-tuned layers
- Shrink the longest: improving latent space isotropy with symplicial geometry
- Generalization of Urban Wind Environment Using Fourier Neural Operator Across Different Wind Directions and Cities
- Generative Flow Networks: Theory and Applications to Structure Learning
- Spatial Information Integration in Small Language Models for Document Layout Generation and Classification
- FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
- LSEBMCL: A Latent Space Energy-Based Model for Continual Learning
- Soft Computing Approaches for Predicting Shade-Seeking Behaviour in Dairy Cattle under Heat Stress: A Comparative Study of Random Forests and Neural Networks
- Monotonic Learning in the PAC Framework: A New Perspective
- Interpretable deep learning illuminates multiple structures fluorescence imaging: a path toward trustworthy artificial intelligence in microscopy
- An Empirical Study of Autoregressive Pre-training from Videos
- Explainable AI-Enhanced Deep Learning for Pumpkin Leaf Disease Detection: A Comparative Analysis of CNN Architectures
- Relative Pose Estimation through Affine Corrections of Monocular Depth Priors
- Consistent Flow Distillation for Text-to-3D Generation
- A survey of textual cyber abuse detection using cutting-edge language models and large language models
- The GAN is dead; long live the GAN! A Modern GAN Baseline
- From Simple to Complex Skills: The Case of In-Hand Object Reorientation
- Scale-invariant brain morphometry: application to sulcal depth
All 232
- Neuro-Symbolic AI in 2024: A Systematic Review
- From Images to Insights: Transforming Brain Cancer Diagnosis with Explainable AI
- Entangled Mean Estimation in High-Dimensions
- Using LLMs to Infer Non-Binary COVID-19 Sentiments of Chinese Micro-bloggers
- Uncertainty-aware Knowledge Tracing
- LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation
- Seeing Sound: Assembling Sounds from Visuals for Audio-to-Image Generation
- Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charit'e, and Aignostics
- Tempo: Compiled Dynamic Deep Learning with Symbolic Dependence Graphs
- On-line Policy Improvement using Monte-Carlo Search
- TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
- BRATI: Bidirectional Recurrent Attention for Time-Series Imputation
- Performance of YOLOv7 in Kitchen Safety While Handling Knife
- Mechanistic understanding and validation of large AI models with SemanticLens
- FairCoder: Probing LLM Bias in High-Stakes Decision Making via Coding Tasks
- The global consensus on the risk management of autonomous driving
- Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic
- Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models
- Arc2Avatar: Generating Expressive 3D Avatars from a Single Image via ID Guidance
- 1-2-1: Renaissance of Single-Network Paradigm for Virtual Try-On
- Developing a Foundation of Vector Symbolic Architectures Using Category Theory
- No-Regret Linear Bandits under Gap-Adjusted Misspecification
- On Corrigibility and Alignment in Multi Agent Games
- JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
- The Bakers and Millers Game with Restricted Locations
- Stability and List-Replicability for Agnostic Learners
- AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder
- The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR
- Distributed Learning and Inference Systems: A Networking Perspective
- Private Selection with Heterogeneous Sensitivities
- Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning
- Learning convolution operators on compact Abelian groups
- Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments
- Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
- CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models
- Patch-GAN Transfer Learning with Reconstructive Models for Cloud Removal
- Towards Balanced Multi-Modal Learning in 3D Human Pose Estimation
- Enhancing Plagiarism Detection in Marathi with a Weighted Ensemble of TF-IDF and BERT Embeddings for Low-Resource Language Processing
- Automating the Detection of Code Vulnerabilities by Analyzing GitHub Issues
- From Scientific Texts to Verifiable Code: Automating the Process with Transformers
- Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient Pruning
- Online Prompt Selection for Program Synthesis
- Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions
- Optimized Sampling for Non-Line-of-Sight Imaging Using Modified Fast Fourier Transforms
- SEGS-SLAM: Structure-enhanced 3D Gaussian Splatting SLAM with Appearance Embedding
- Contrast-Free Myocardial Scar Segmentation in Cine MRI using Motion and Texture Fusion
- Is Your Autonomous Vehicle Safe? Understanding the Threat of Electromagnetic Signal Injection Attacks on Traffic Scene Perception
- FOCUS: Towards Universal Foreground Segmentation
- Automated external cervical resorption segmentation in cone-beam CT using local texture features
- Optimizing Estonian TV Subtitles with Semi-supervised Learning and LLMs
- Leveraging Large Language Models for Zero-shot Lay Summarisation in Biomedicine and Beyond
- EVA-S2PLoR: Decentralized Secure 2-party Logistic Regression with A Subtly Hadamard Product Protocol (Full Version)
- ParaRev: Building a dataset for Scientific Paragraph Revision annotated with revision instruction
- A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education
- GLaM-Sign: Greek Language Multimodal Lip Reading with Integrated Sign Language Accessibility
- MHAFF: Multi-Head Attention Feature Fusion of CNN and Transformer for Cattle Identification
- CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness
- Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning
- Design and Control of a Bipedal Robotic Character
- An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes
- HipyrNet: Hypernet-Guided Feature Pyramid network for mixed-exposure correction
- RMTransformer: Accurate Radio Map Construction and Coverage Prediction
- De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems
- Bringing Order Amidst Chaos: On the Role of Artificial Intelligence in Secure Software Engineering
- Explainable AI based System for Supply Air Temperature Forecast
- A Systematic Literature Review on Deep Learning-based Depth Estimation in Computer Vision
- CorrDiff: Adaptive Delay-aware Detector with Temporal Cue Inputs for Real-time Object Detection
- 3DIS-FLUX: simple and efficient multi-instance generation with DiT rendering
- Contrastive Representation Modeling for Anomaly Detection
- Improving the U-Net Configuration for Automated Delineation of Head and Neck Cancer on MRI
- Constrained Optimization of Charged Particle Tracking with Multi-Agent Reinforcement Learning
- Optimizing Multitask Industrial Processes with Predictive Action Guidance
- Robust Score Matching
- Motion-X++: A Large-Scale Multimodal 3D Whole-body Human Motion Dataset
- A 1Mb mixed-precision quantized encoder for image classification and patch-based compression
- Advancing ALS Applications with Large-Scale Pre-training: Dataset Development and Downstream Assessment
- Hierarchical Decomposed Dual-domain Deep Learning for Sparse-View CT Reconstruction
- Supervised Learning with Evolving Tasks and Performance Guarantees
- Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics
- End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT
- Comparison of Feature Learning Methods for Metadata Extraction from PDF Scholarly Documents
- Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization
- Analyzing Memorization in Large Language Models through the Lens of Model Attribution
- TipSegNet: Fingertip Segmentation in Contactless Fingerprint Imaging
- A Text-Based Knowledge-Embedded Soft Sensing Modeling Approach for General Industrial Process Tasks Based on Large Language Model
- A Flexible and Scalable Framework for Video Moment Search
- Improving Skeleton-based Action Recognition with Interactive Object Information
- Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators
- TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
- SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
- LongViTU: Instruction Tuning for Long-Form Video Understanding
- Towards Fingerprint Mosaicking Artifact Detection: A Self-Supervised Deep Learning Approach
- Enhancing Human-Like Responses in Large Language Models
- Perception-as-Control: Fine-grained Controllable Image Animation with 3D-aware Motion Representation
- Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR Ensembles
- Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning
- On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications
- UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation
- A Scalable System for Visual Analysis of Ocean Data
- Quantum-enhanced causal discovery for a small number of samples
- A High-accuracy Calibration Method of Transient TSEPs for Power Semiconductor Devices
- Load Forecasting for Households and Energy Communities: Are Deep Learning Models Worth the Effort?
- GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction
- A CT Image Classification Network Framework for Lung Tumors Based on Pre-trained MobileNetV2 Model and Transfer learning, And Its Application and Market Analysis in the Medical field
- IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation
- V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer
- SensorQA: A Question Answering Benchmark for Daily-Life Monitoring
- Self-Adaptive Ising Machines for Constrained Optimization
- Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
- Self-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection
- Targeted Adversarial Denoising Autoencoders (TADA) for Neural Time Series Filtration
- Emergence of Painting Ability via Recognition-Driven Evolution
- VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models
- Demystifying Domain-adaptive Post-training for Financial LLMs
- Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment
- MORDA: A Synthetic Dataset to Facilitate Adaptation of Object Detectors to Unseen Real-target Domain While Preserving Performance on Real-source Domain
- Seeing with Partial Certainty: Conformal Prediction for Robotic Scene Recognition in Built Environments
- Non-asymptotic analysis of the performance of the penalized least trimmed squares in sparse models
- Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models
- A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing
- Multi-Context Temporal Consistent Modeling for Referring Video Object Segmentation
- Plug-and-Play DISep: Separating Dense Instances for Scene-to-Pixel Weakly-Supervised Change Detection in High-Resolution Remote Sensing Images
- Image2CADSeq: Computer-Aided Design Sequence and Knowledge Inference from Product Images
- Investigating Numerical Translation with Large Language Models
- SpecTf: Transformers Enable Data-Driven Imaging Spectroscopy Cloud Detection
- From Mesh Completion to AI Designed Crown
- A Machine Learning Model for Crowd Density Classification in Hajj Video Frames
- Analyzing decision tree bias towards the minority class
- Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression
- Online Continual Learning: A Systematic Literature Review of Approaches, Challenges, and Benchmarks
- Quantifying Itch and its Impact on Sleep Using Machine Learning and Radio Signals
- A Look into How Machine Learning is Reshaping Engineering Models: the Rise of Analysis Paralysis, Optimal yet Infeasible Solutions, and the Inevitable Rashomon Paradox