Papers
Mon 23 Sep 2024
322 papers
- From Commands to Prompts: LLM-based Semantic File System for AIOSLLM agents and tool use → General LLM agent frameworks and benchmarks
- Lost in the Logic: An Evaluation of Large Language Models' Reasoning Capabilities on LSAT Logic GamesLLM reasoning → Reasoning benchmarks and evaluation
- Fine Tuning Text-to-Image Diffusion Models for Correcting Anomalous ImagesDiffusion models → Image generation, text-to-image and editing
- Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation ModelMultimodal LLMs / vision-language models → Medical vision-language models
- GEM-RAG: Graphical Eigen Memories For Retrieval Augmented GenerationRetrieval-augmented generation → Conversational and speech RAG
- Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network SelectionDiffusion models → Diffusion foundations and sampling
- Revise, Reason, and Recognize: LLM-Based Emotion Recognition via Emotion-Specific Prompts and ASR Error CorrectionLLM reasoning → Audio-language model reasoning
- Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient GuidanceDiffusion models → Diffusion and flow policies for robotics +1
- Speech2rtMRI: Speech-Guided Diffusion Model for Real-time MRI Video of the Vocal Tract during SpeechDiffusion models → Audio, speech and music
- CANDERE-COACH: Reinforcement Learning from Noisy FeedbackOffline RL and imitation learning from data → Imitation learning methods +1
- Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QARetrieval-augmented generation → Conversational and speech RAG
- Bayesian computation with generative diffusion models by Multilevel Monte CarloDiffusion models → Inverse problems and image restoration
- VLMine: Long-Tail Data Mining with Vision Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation modelsMultimodal LLMs / vision-language models → Medical vision-language models
- RAM2C: A Liberal Arts Educational Chatbot based on Retrieval-augmented Multi-role Multi-expert CollaborationRetrieval-augmented generation → Agentic RAG, agents and memory
- In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language ModelsLLM reasoning → Spatial and embodied reasoning
- Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAILLM safety and security → Prompt injection and agent security
- Parse Trees Guided LLM Prompt CompressionEfficient LLM inference and serving → Prompt and context compression
- MaterialFusion: Enhancing Inverse Rendering with Material Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- OmniBench: Towards The Future of Universal Omni-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Style Outweighs Substance: Failure Modes of LLM Judges in Alignment BenchmarkingLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Generative AI Is Not Ready for Clinical Use in Patient Education for Lower Back Pain Patients, Even With Retrieval-Augmented GenerationRetrieval-augmented generation → Medical and biomedical RAG
- StarVid: Enhancing Semantic Alignment in Video Diffusion Models via Spatial and SynTactic Guided Attention RefocusingDiffusion models → Video generation
- Behavioral Bias of Vision-Language Models: A Behavioral Finance ViewMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Intelligent Routing Algorithm over SDN: Reusable Reinforcement Learning ApproachDeep reinforcement learning methods → RL for energy, networks and operations
- A Gated Residual Kolmogorov-Arnold Networks for Mixtures of ExpertsMixture-of-experts → MoE theory and gating functions
- LoVA: Long-form Video-to-Audio GenerationDiffusion models → Audio, speech and music
- Rethinking Conventional Wisdom in Machine Learning: From Generalization to ScalingLLM reasoning → Reasoning benchmarks and evaluation
- RMCBench: Benchmarking Large Language Models' Resistance to Malicious CodeLLM safety and security → Jailbreaking
- COHERENT: Collaboration of Heterogeneous Multi-Robot System with Large Language ModelsLLM reasoning → Spatial and embodied reasoning
- Controllable Traffic Simulation through LLM-Guided Hierarchical Reasoning and RefinementLLM reasoning → Chain-of-thought reasoning for driving
- Detect, Describe, Discriminate: Moving Beyond VQA for MLLM EvaluationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Inferring Scientific Cross-Document Coreference and Hierarchy with Definition-Augmented Relational ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- SPformer: A Transformer Based DRL Decision Making Method for Connected Automated VehiclesDeep reinforcement learning methods → RL for autonomous driving and traffic
- Enhancing Scientific Reproducibility Through Automated BioCompute Object Creation Using Retrieval-Augmented Generation from PublicationsRetrieval-augmented generation → Medical and biomedical RAG
- SHFL: Secure Hierarchical Federated Learning Framework for Edge NetworksLLM safety and security → Federated unlearning and poisoning
- A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence ProcessingState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Evaluating Synthetic Activations composed of SAE Latents in GPT-2Mechanistic interpretability → Sparse autoencoder training and evaluation
- Inference-Friendly Models With MixAttentionEfficient LLM inference and serving → KV cache optimization
- DepthART: Monocular Depth Estimation as Autoregressive Refinement TaskDiffusion models → 3D, point cloud and scene generation
- Multi-modal Generative AI: Multi-modal LLMs, Diffusions, and the UnificationMultimodal LLMs / vision-language models → Image editing and quality assessment +2
- Deep Reinforcement Learning-based Obstacle Avoidance for Robot Movement in Warehouse EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
- Exploring Fine-grained Retail Product Discrimination with Zero-shot Object Classification Using Vision-Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More WiselyRetrieval-augmented generation → RAG pipeline design and evaluation
- With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Towards a Realistic Long-Term Benchmark for Open-Web Research AgentsLLM agents and tool use → Web, search, and research agents
- KARMA: Augmenting Embodied AI Agents with Long-and-short Term Memory SystemsLLM agents and tool use → Multimodal and embodied agents
- DSG-KD: Knowledge Distillation from Domain-Specific to General Language ModelsKnowledge distillation → Knowledge distillation for LLMs
- CON: Continual Object Navigation via Data-Free Inter-Agent Knowledge Transfer in Unseen and Unfamiliar PlacesLLM agents and tool use → Multimodal and embodied agents
- FedSlate:A Federated Deep Reinforcement Learning Recommender SystemDeep reinforcement learning methods → RL training of language and agent models
- A novel agent with formal goal-reaching guarantees: an experimental study with a mobile robotDeep reinforcement learning methods → Safe and constrained RL
- PAPILLON: Efficient and Stealthy Fuzz Testing-Powered Jailbreaks for LLMsLLM safety and security → Jailbreaking
- A-VL: Adaptive Attention for Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Orthogonal Finetuning for Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and FeedbackLLM agents and tool use → Tool learning and function calling
- MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential RecommendationKnowledge distillation → Distillation for recommender systems
- Towards Efficient and Robust VQA-NLE Data Generation with Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- VLM's Eye Examination: Instruct and Inspect Visual Competency of Vision Language ModelsLLM reasoning → Multimodal reasoning +1
- Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and ForgettingLLM safety and security → Machine unlearning
- ToxiCraft: A Novel Framework for Synthetic Generation of Harmful InformationLLM safety and security → Safety alignment, refusal and guardrails
- PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMsLLM safety and security → Prompt injection and agent security
- DiSPo: Diffusion-SSM based Policy Learning for Coarse-to-Fine Action DiscretizationState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models +1
- ERABAL: Enhancing Role-Playing Agents through Boundary-Aware LearningLLM agents and tool use → Social simulation and multi-agent debate
- Adaptive and Robust Watermark for Generative Tabular DataLLM safety and security → Watermarking generated content and models
- Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror ReflectionsDiffusion models → 3D, point cloud and scene generation
- RACER: Rich Language-Guided Failure Recovery Policies for Imitation LearningOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- Direct Judgement Preference OptimizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- The Impact of Generative Artificial Intelligence on Ideation and the performance of Innovation Teams (Preprint)
- PipeFill: Using GPUs During Bubbles in Pipeline-parallel LLM Training
- Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving
- Designing Pre-training Datasets from Unlabeled Data for EEG Classification with Transformers
- Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding
- TextToon: Real-Time Text Toonify Head Avatar from Single Video
- DH-FaceVid-1K: A Large-Scale High-Quality Dataset for Face Video Generation
- Graph Network Models To Detect Illicit Transactions In Block Chain
- Lateral Ventricle Shape Modeling using Peripheral Area Projection for Longitudinal Analysis
- Natural Language Query Engine for Relational Databases using Generative AI
- Neural Differential Appearance Equations
- Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials
- Dumpling GNN: Hybrid GNN Enables Better ADC Payload Activity Prediction Based on Chemical Structure
- Combining Open-box Simulation and Importance Sampling for Tuning Large-Scale Recommenders
- Improving Emotion Recognition Accuracy with Personalized Clustering
- Improving the Accessibility of Dating Websites for Individuals with Visual Impairments
- Temporal Graph Memory Networks For Knowledge Tracing
- InsightPulse: An IoT-based System for User Experience Interview Analysis
- FeruzaSpeech: A 60 Hour Uzbek Read Speech Corpus with Punctuation, Casing, and Context
- Improving Academic Skills Assessment with NLP and Ensemble Learning
- Identification and Mitigating Bias in Quantum Machine Learning
- A comprehensive study of on-device NLP applications -- VQA, automated Form filling, Smart Replies for Linguistic Codeswitching
- Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment
- Fully automatic extraction of morphological traits from the Web: utopia or reality?
- MODEL&CO: Exoplanet detection in angular differential imaging by learning across multiple observations
- MRI Radiomics for IDH Genotype Prediction in Glioblastoma Diagnosis
- GATher: Graph Attention Based Predictions of Gene-Disease Links
- Automated Spatio-Temporal Weather Modeling for Load Forecasting
- MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving
- Gaussian Deja-vu: Creating Controllable 3D Gaussian Head-Avatars with Enhanced Generalization and Personalization Abilities
All 322
- Safe Guard: an LLM-agent for Real-time Voice-based Hate Speech Detection in Social Virtual Reality
- Reinforcement Feature Transformation for Polymer Property Performance Prediction
- KISS-Matcher: Fast and Robust Point Cloud Registration Revisited
- Revolutionizing Biomarker Discovery: Leveraging Generative AI for Bio-Knowledge-Embedded Continuous Space Exploration
- Deep Learning Approach for Knee Point Detection on Noisy Data
- Assessment of Submillimeter Precision via Structure from Motion Technique in Close-Range Capture Environments
- Polyatomic Complexes: A topologically-informed learning representation for atomistic systems
- Physics Enhanced Residual Policy Learning (PERPL) for safety cruising in mixed traffic platooning under actuator and communication delay
- MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions
- TFT-multi: simultaneous forecasting of vital sign trajectories in the ICU
- FACET: Fast and Accurate Event-Based Eye Tracking Using Ellipse Modeling for Extended Reality
- Generalization vs. Specialization under Concept Shift
- Mixing Data-driven and Geometric Models for Satellite Docking Port State Estimation using an RGB or Event Camera
- Optimizing News Text Classification with Bi-LSTM and Attention Mechanism for Efficient Data Processing
- Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization
- Asking an AI for salary negotiation advice is a matter of concern: Controlled experimental perturbation of ChatGPT for protected and non-protected group discrimination on a contextual task with no clear ground truth answers
- Critic Loss for Image Classification
- CauSkelNet: Causal Representation Learning for Human Behaviour Analysis
- QUB-PHEO: A Visual-Based Dyadic Multi-View Dataset for Intention Inference in Collaborative Assembly
- Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems
- SOFI: Multi-Scale Deformable Transformer for Camera Calibration with Enhanced Line Queries
- Beyond Conformal Predictors: Adaptive Conformal Inference with Confidence Predictors
- A Novel Framework for the Automated Characterization of Gram-Stained Blood Culture Slides Using a Large-Scale Vision Transformer
- Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance
- Identifying Elasticities in Autocorrelated Time Series Using Causal Graphs
- VaLID: Verification as Late Integration of Detections for LiDAR-Camera Fusion
- SEAL: Suite for Evaluating API-use of LLMs
- MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines
- Eagle: Efficient Training-Free Router for Multi-LLM Inference
- MATCH POLICY: A Simple Pipeline from Point Cloud Registration to Manipulation Policies
- SpaGBOL: Spatial-Graph-Based Orientated Localisation
- From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding
- Adenocarcinoma Segmentation Using Pre-trained Swin-UNet with Parallel Cross-Attention for Multi-Domain Imaging
- Analysis of Human Perception in Distinguishing Real and AI-Generated Faces: An Eye-Tracking Based Study
- Build Once, Monitor Continuously: Persistent Semantic Mapping via Autonomous Exploration and Open-Vocabulary Object Updates
- Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool
- Adapting Segment Anything Model for Unseen Object Instance Segmentation
- Mat'ern Kernels for Tunable Implicit Surface Reconstruction
- CUTE: Measuring LLMs' Understanding of Their Tokens
- Revealing an Unattractivity Bias in Mental Reconstruction of Occluded Faces using Generative Image Models
- Steward: Natural Language Web Automation
- Ads that Talk Back: Implications and Perceptions of Injecting Personalized Advertising into LLM Chatbots
- The ParlaSpeech Collection of Automatically Generated Speech and Text Datasets from Parliamentary Proceedings
- Neural Control Variates with Automatic Integration
- Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient
- PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions
- A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?
- ReLoo: Reconstructing Humans Dressed in Loose Garments from Monocular Video in the Wild
- Peer-to-Peer Learning Dynamics of Wide Neural Networks
- UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework
- The Palomar twilight survey of 'Ayl'o'chaxnim, Atiras, and comets
- Identification and Localization of Cometary Activity in Solar System Objects with Machine Learning
- ZeroSCD: Zero-Shot Street Scene Change Detection
- Archon: An Architecture Search Framework for Inference-Time Techniques
- Investigating Robot Dogs for Construction Monitoring: A Comparative Analysis of Specifications and On-site Requirements
- Precise Asymptotics of Bagging Regularized M-estimators
- Machine Learning Toric Duality in Brane Tilings
- ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models
- On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks
- MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities
- Domino: Eliminating Communication in LLM Training via Generic Tensor Slicing and Overlapping
- MADial-Bench: Towards Real-world Evaluation of Memory-Augmented Dialogue Generation
- A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models
- Enhancing Pedestrian Trajectory Prediction with Crowd Trip Information
- MotifDisco: Motif Causal Discovery For Time Series Motifs
- FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch
- HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning
- Fast and Accurate Triangle Counting in Graph Streams Using Predictions
- RAMBO: Enhancing RAG-based Repository-Level Method Body Completion
- ASTE Transformer Modelling Dependencies in Aspect-Sentiment Triplet Extraction
- Enabling Tensor Decomposition for Time-Series Classification via A Simple Pseudo-Laplacian Contrast
- Learning from Contrastive Prompts: Automated Optimization and Adaptation
- HOTVCOM: Generating Buzzworthy Comments for Videos
- Interpretability-Guided Test-Time Adversarial Defense
- PALLM: Evaluating and Enhancing PALLiative Care Conversations with Large Language Models
- Location is Key: Leveraging Large Language Model for Functional Bug Localization in Verilog
- Chattronics: using GPTs to assist in the design of data acquisition systems
- Goal-based Neural Physics Vehicle Trajectory Prediction Model
- MIMAFace: Face Animation via Motion-Identity Modulated Appearance Feature Learning
- SpikeGS: Learning 3D Gaussian Fields from Continuous Spike Stream
- Skills Made to Order: Efficient Acquisition of Robot Cooking Skills Guided by Multiple Forms of Internet Data
- Data-driven model discovery with Kolmogorov-Arnold networks
- Harmonic Path Integral Diffusion
- Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies
- DRAPER: Towards a Robust Robot Deployment and Reliable Evaluation for Quasi-Static Pick-and-Place Cloth-Shaping Neural Controllers
- Automatic Feature Learning for Essence: a Case Study on Car Sequencing
- MAR-DTN: Metal Artifact Reduction using Domain Transformation Network for Radiotherapy Planning
- Designing an Interpretable Interface for Contextual Bandits
- FusionRF: High-Fidelity Satellite Neural Radiance Fields from Multispectral and Panchromatic Acquisitions
- CAMAL: Optimizing LSM-trees via Active Learning
- The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes
- Pareto-Optimized Open-Source LLMs for Healthcare via Context Retrieval
- UTrace: Poisoning Forensics for Private Collaborative Learning
- Log-normal Mutations and their Use in Detecting Surreptitious Fake Images
- Diffusion-based RGB-D Semantic Segmentation with Deformable Attention Transformer
- Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization
- ChatGPT as a Solver and Grader of Programming Exams written in Spanish
- The BRAVO Semantic Segmentation Challenge Results in UNCV2024
- PecSched: Preemptive and Efficient Cluster Scheduling for LLM Inference
- Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping
- Efficiently Dispatching Flash Attention For Partially Filled Attention Masks
- Whole-Body Teleoperation for Mobile Manipulation at Zero Added Cost
- M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images
- Using Similarity to Evaluate Factual Consistency in Summaries
- AdapFair: Ensuring Adaptive Fairness for Machine Learning Operations
- AI Workflow, External Validation, and Development in Eye Disease Diagnosis
- TSCLIP: Robust CLIP Fine-Tuning for Worldwide Cross-Regional Traffic Sign Recognition
- Evaluating the Usability of LLMs in Threat Intelligence Enrichment
- FisheyeDepth: A Real Scale Self-Supervised Depth Estimation Model for Fisheye Camera
- Brotherhood at WMT 2024: Leveraging LLM-Generated Contextual Conversations for Cross-Lingual Image Captioning
- Scaling Laws of Decoder-Only Models on the Multilingual Machine Translation Task
- AlphaZip: Neural Network-Enhanced Lossless Text Compression
- AIM 2024 Sparse Neural Rendering Challenge: Methods and Results
- AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark
- Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP
- Anomaly Detection from a Tensor Train Perspective
- Region Mixup
- Generative LLM Powered Conversational AI Application for Personalized Risk Assessment: A Case Study in COVID-19
- Cross Branch Feature Fusion Decoder for Consistency Regularization-based Semi-Supervised Change Detection
- Acting for the Right Reasons: Creating Reason-Sensitive Artificial Moral Agents
- Analogous Alignments: Digital "Formally" meets Analog
- Generalizing monocular colonoscopy image depth estimation by uncertainty-based global and local fusion network
- Method of Equal Shares with Bounded Overspending
- ViBERTgrid BiLSTM-CRF: Multimodal Key Information Extraction from Unstructured Financial Documents
- Enhancing Aspect-based Sentiment Analysis in Tourism Using Large Language Models and Positional Information
- Methods for Convex (L0,L1)-Smooth Optimization: Clipping, Acceleration, and Adaptivity
- Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs
- Evaluating Theory of (an uncertain) Mind: Predicting the Uncertain Beliefs of Others in Conversation Forecasting
- Image-Guided Semantic Pseudo-LiDAR Point Generation for 3D Object Detection
- SocialCircle+: Learning the Angle-based Conditioned Interaction Representation for Pedestrian Trajectory Prediction
- Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
- On The Specialization of Neural Modules
- (De)-regularized Maximum Mean Discrepancy Gradient Flow
- TS-HTFA: Advancing Time Series Forecasting via Hierarchical Text-Free Alignment with Large Language Models
- A new baseline for edge detection: Make Encoder-Decoder great again
- Blind Spatial Impulse Response Generation from Separate Room- and Scene-Specific Information
- Bilingual Rhetorical Structure Parsing with Large Parallel Annotations
- Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction
- Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training
- FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale
- Deep Cost Ray Fusion for Sparse Depth Video Completion
- DanceCamAnimator: Keyframe-Based Controllable 3D Dance Camera Synthesis
- A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures
- Efficient Tabular Data Preprocessing of ML Pipelines
- Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization
- Kriformer: A Novel Spatiotemporal Kriging Approach Based on Graph Transformers
- Built Different: Tactile Perception to Overcome Cross-Embodiment Capability Differences in Collaborative Manipulation
- Novel Gradient Sparsification Algorithm via Bayesian Inference
- Observe Then Act: Asynchronous Active Vision-Action Model for Robotic Manipulation
- Advancing Video Quality Assessment for AIGC
- Deploying Open-Source Large Language Models: A performance Analysis
- Probabilistically Aligned View-unaligned Clustering with Adaptive Template Selection
- End-to-End Graph Flattening Method for Large Language Models
- Privacy Policy Analysis through Prompt Engineering for LLMs
- Mammo-Clustering: A Multi-views Tri-level Information Fusion Context Clustering Framework for Localization and Classification in Mammography
- Towards Ground-truth-free Evaluation of Any Segmentation in Medical Images
- Testing Dependency of Weighted Random Graphs
- Embedding Knowledge Graph in Function Spaces
- FUSED-Net: Detecting Traffic Signs with Limited Data
- Disentanglement with Factor Quantized Variational Autoencoders
- GroCo: Ground Constraint for Metric Self-Supervised Monocular Depth
- Revisiting Video Quality Assessment from the Perspective of Generalization
- HW-TSC's Submission to the CCMT 2024 Machine Translation Tasks
- Explainable and Human-Grounded AI for Decision Support Systems: The Theory of Epistemic Quasi-Partnerships
- MICSim: A Modular Simulator for Mixed-signal Compute-in-Memory based AI Accelerator
- Energy-Aware Federated Learning in Satellite Constellations
- Identify As A Human Does: A Pathfinder of Next-Generation Anti-Cheat Framework for First-Person Shooter Games
- RoWSFormer: A Robust Watermarking Framework with Swin Transformer for Enhanced Geometric Attack Resilience
- Two Deep Learning Solutions for Automatic Blurring of Faces in Videos
- AIM 2024 Challenge on Video Saliency Prediction: Methods and Results
- Towards Real-world Deployment of NILM Systems: Challenges and Practices
- Past Meets Present: Creating Historical Analogy with Large Language Models
- VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge
- SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated Learning
- Benchmarking Edge AI Platforms for High-Performance ML Inference
- MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations
- Choose the Final Translation from NMT and LLM hypotheses Using MBR Decoding: HW-TSC's Submission to the WMT24 General MT Shared Task
- Research on Dynamic Data Flow Anomaly Detection based on Machine Learning
- Advancing Depression Detection on Social Media Platforms Through Fine-Tuned Large Language Models
- Adaptive Conformal Inference for Multi-Step Ahead Time-Series Forecasting Online
- Multiscale scattered data analysis in samplet coordinates
- SAMEdge: An Edge-cloud Video Analytics Architecture for the Segment Anything Model
- Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
- Human Hair Reconstruction with Strand-Aligned 3D Gaussians
- CFVNet: An End-to-End Cancelable Finger Vein Network for Recognition
- OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation
- Language-Agnostic Analysis of Speech Depression Detection
- Robust and Flexible Omnidirectional Depth Estimation with Multiple 360-degree Cameras
- Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
- Isometric Immersion Learning with Riemannian Geometry
- BranchPoseNet: Characterizing tree branching with a deep learning-based pose estimation approach
- UniBEVFusion: Unified Radar-Vision BEVFusion for 3D Object Detection
- FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension
- LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs
- Less yet robust: crucial region selection for scene recognition
- EDSNet: Efficient-DSNet for Video Summarization
- Neural refractive index field: Unlocking the Potential of Background-oriented Schlieren Tomography in Volumetric Flow Visualization
- ControlEdit: A MultiModal Local Clothing Image Editing Method
- Phantom of Latent for Large Language and Vision Models
- Target-Aware Language Modeling via Granular Data Sampling
- VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models
- MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification
- Dynamic Realms: 4D Content Analysis, Recovery and Generation with Geometric, Topological and Physical Priors
- EDGE-Rec: Efficient and Data-Guided Edge Diffusion For Recommender Systems Graphs
- Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling
- Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems
- Quantifying Context Bias in Domain Adaptation for Object Detection
- TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced Medical Image Segmentation
- Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Science
- Speechworthy Instruction-tuned Language Models
- FedGCA: Global Consistent Augmentation Based Single-Source Federated Domain Generalization
- Semi-supervised Learning For Robust Speech Evaluation
- Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence
- Building Tamil Treebanks
- Federated Graph Learning with Adaptive Importance-based Sampling
- AEANet: Affinity Enhanced Attentional Networks for Arbitrary Style Transfer
- Demystifying Trajectory Recovery From Ash: An Open-Source Evaluation and Enhancement
- LSem2Vec: A Simple yet Effective Two-Stage Approach for Source Code Embedding
- Harmonising the Clinical Melody: Tuning Large Language Models for Hospital Course Summarisation in Clinical Coding
- Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting
- Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation
- Hierarchical end-to-end autonomous navigation through few-shot waypoint detection