Papers
Fri 13 Dec 2024
303 papers
- KVDirect: Distributed Disaggregated LLM InferenceEfficient LLM inference and serving → Serving systems and request scheduling
- HashEvict: A Pre-Attention KV Cache Eviction Strategy using Locality-Sensitive HashingEfficient LLM inference and serving → KV cache optimization
- MPPO: Multi Pair-wise Preference Optimization for LLMs with Arbitrary Negative SamplesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Script-Based Dialog Policy Planning for LLM-Powered Conversational Agents: A Basic Architecture for an "AI Therapist"LLM agents and tool use → Medical and scientific domain agents
- No Free Lunch for Defending Against Prefilling Attack by In-Context LearningLLM safety and security → Jailbreaking
- Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online ExplorationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Towards Unified Benchmark and Models for Multi-Modal Perceptual MetricsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG SystemsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Learning to Merge Tokens via Decoupled Embedding for Efficient Vision TransformersEfficient LLM inference and serving → Token pruning and merging for ViTs
- EVLM: Self-Reflective Multimodal Reasoning for Cross-Dimensional Visual EditingLLM reasoning → Multimodal reasoning +1
- METIS: Fast Quality-Aware RAG Systems with Configuration AdaptationRetrieval-augmented generation → RAG pipeline design and evaluation
- Solving the Inverse Alignment Problem for Efficient RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile DeviceDiffusion models → Video generation
- AlignGuard: Scalable Safety Alignment for Text-to-Image GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment +1
- Dynamic Entity-Masked Graph Diffusion Model for histopathological image Representation LearningDiffusion models → Medical imaging and segmentation
- GaussianWorld: Gaussian World Model for Streaming 3D Occupancy PredictionWorld models → World models for autonomous driving
- UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging ModalitiesMultimodal LLMs / vision-language models → Medical vision-language models
- GaussianAD: Gaussian-Centric End-to-End Autonomous DrivingEnd-to-end autonomous driving → Generative simulation for driving
- Apollo: An Exploration of Video Understanding in Large Multimodal ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Robust image classification with multi-modal large language modelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic PoliciesVision-language-action models → 3D and spatial-aware VLA
- XYScanNet: A State Space Model for Single Image DeblurringState-space sequence models (S4, Mamba) → Mamba for image restoration
- AdvPrefix: An Objective for Nuanced LLM JailbreaksLLM safety and security → Jailbreaking
- SCBench: A KV Cache-Centric Analysis of Long-Context MethodsEfficient LLM inference and serving → KV cache optimization
- BrushEdit: All-In-One Image Inpainting and EditingDiffusion models → Image generation, text-to-image and editing
- DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Cultural Evolution of Cooperation among LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Reasoner Outperforms: Generative Stance Detection with Rationalization for Social MediaLLM reasoning → Causal reasoning in LLMs
- GAF: Gaussian Avatar Reconstruction from Monocular Videos via Multi-view DiffusionDiffusion models → 3D, point cloud and scene generation
- Retrieval-Augmented Semantic Parsing: Improving Generalization with Lexical KnowledgeRetrieval-augmented generation → Generation and context integration
- From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial InjectionLLM agents and tool use → Agent threats, guardrails and governance
- Simple Guidance Mechanisms for Discrete Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented GenerationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- You Name It, I Run It: An LLM Agent to Execute Tests of Arbitrary ProjectsLLM agents and tool use → Software engineering coding agents
- The Art of Deception: Color Visual Illusions and Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language ModelsDiffusion models → Audio, speech and music
- Reward Machine Inference for Robotic ManipulationOffline RL and imitation learning from data → Robot learning from demonstration
- Lost in the Middle, and In-Between: Enhancing Language Models' Ability to Reason Over Long Contexts in Multi-Hop QALLM reasoning → Knowledge- and tool-augmented reasoning
- SuperMark: Robust and Training-free Image Watermarking via Diffusion-based Super-ResolutionDiffusion models → Robustness, privacy and adversarial aspects +1
- Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented SamplesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-ExpertsMixture-of-experts → Expert routing strategies
- Self-Consistent Nested Diffusion Bridge for Accelerated MRI ReconstructionDiffusion models → Medical imaging and segmentation
- EP-CFG: Energy-Preserving Classifier-Free GuidanceDiffusion models → Diffusion foundations and sampling
- Towards Consistent and Efficient Dataset Distillation via Diffusion-Driven SelectionDiffusion models → Diffusion foundations and sampling
- Llama 3 Meets MoE: Efficient UpcyclingMixture-of-experts → MoE large language models
- WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language ModelLLM reasoning → Chain-of-thought reasoning for driving +2
- CaLoRAify: Calorie Estimation with Visual-Text Pairing and LoRA-Driven Visual Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal TokensEfficient LLM inference and serving → Visual token pruning in multimodal models
- Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound ImagesDiffusion models → Robustness, privacy and adversarial aspects
- Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-TuningLLM reasoning → Test-time compute and efficient thinking
- Selective State Space Memory for Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational ComplexityDiffusion models → Video generation
- Real-time Identity Defenses against Malicious Personalization of Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion TrainingDiffusion models → Robustness, privacy and adversarial aspects
- MSC: Multi-Scale Spatio-Temporal Causal Attention for Autoregressive Video DiffusionDiffusion models → Video generation
- MERaLiON-AudioLLM: Bridging Audio and Language with Large Language ModelsLLM reasoning → Audio-language model reasoning
- Enhancing Multimodal Large Language Models Complex Reason via Similarity ComputationLLM reasoning → Multimodal reasoning +1
- AutoPatent: A Multi-Agent Framework for Automatic Patent GenerationLLM agents and tool use → Web, search, and research agents
- DK-PRACTICE: An Intelligent Educational Platform for Personalized Learning Content Recommendations Based on Students Knowledge State
- What we learned while automating bias detection in AI hiring systems for compliance with NYC Local Law 144
- Harnessing Large Language Models for Mental Health: Opportunities, Challenges, and Ethical Considerations
- A Generative AI-driven Metadata Modelling Approach
- Exploring Text Representations for Online Misinformation
- MANGO: Multimodal Acuity traNsformer for intelliGent ICU Outcomes
- A Decade of Deep Learning: A Survey on The Magnificent Seven
- Quantifying Positional Biases in Text Embedding Models
- ChainStream: An LLM-based Framework for Unified Synthetic Sensing
- Modeling Story Expectations: A Generative Framework using LLMs
- A multimodal dataset for understanding the impact of mobile phones on remote online virtual education
- Vehicle Detection and Classification for Toll collection using YOLOv11 and Ensemble OCR
- iMoT: Inertial Motion Transformer for Inertial Navigation
- Multi-Surrogate-Teacher Assistance for Representation Alignment in Fingerprint-based Indoor Localization
- Predicting Internet Connectivity in Schools: A Feasibility Study Leveraging Multi-modal Data and Location Encoders in Low-Resource Settings
- Graph Similarity Computation via Interpretable Neural Node Alignment
- Adopting Explainable-AI to investigate the impact of urban morphology design on energy and environmental performance in dry-arid climates
- Activation Sparsity Opportunities for Compressing General Large Language Models
- Model-diff: A Tool for Comparative Study of Language Models in the Input Space
- BinarySelect to Improve Accessibility of Black-Box Attack Research
- Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems
- Client-Side Patching against Backdoor Attacks in Federated Learning
- EvalGIM: A Library for Evaluating Generative Image Models
- Advances in Transformers for Robotic Applications: A Review
- Err on the Side of Texture: Texture Bias on Real Data
- PanSR: An Object-Centric Mask Transformer for Panoptic Segmentation
- Evaluation of GPT-4o and GPT-4o-mini's Vision Capabilities for Compositional Analysis from Dried Solution Drops
- WHAT-IF: Exploring Branching Narratives by Meta-Prompting Large Language Models
- CESAR: A Convolutional Echo State AutoencodeR for High-Resolution Wind Forecasting
- Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration
- ExeChecker: Where Did I Go Wrong?
- Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks
- Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning
- Too Big to Fool: Resisting Deception in Language Models
- Edge AI-based Radio Frequency Fingerprinting for IoT Networks
- Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
- Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data
- Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review
- VerifiableFL: Verifiable Claims for Federated Learning using Exclaves
- On Adversarial Robustness and Out-of-Distribution Robustness of Large Language Models
- SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner
All 303
- Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas
- RowDetr: End-to-End Crop Row Detection Using Polynomials
- The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion
- Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Case Study on BERT-based Language Models
- Differentially Private Multi-Sampling from Distributions
- Automated Image Captioning with CNNs and Transformers
- DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts
- Do Large Language Models Show Biases in Causal Learning?
- Aspen Open Jets: Unlocking LHC Data for Foundation Models in Particle Physics
- QSM-RimDS: A detection and segmentation tool for paramagnetic rim lesions in multiple sclerosis
- CognitionCapturer: Decoding Visual Stimuli From Human EEG Signal With Multimodal Information
- SVGBuilder: Component-Based Colored SVG Generation with Text-Guided Autoregressive Transformers
- A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks
- Enhancing Automated Loop Invariant Generation for Complex Programs with Large Language Models
- Tipping Points, Pulse Elasticity and Tonal Tension: An Empirical Study on What Generates Tipping Points
- Benchmarking large language models for materials synthesis: the case of atomic layer deposition
- CrossVIT-augmented Geospatial-Intelligence Visualization System for Tracking Economic Development Dynamics
- CONCLAD: COntinuous Novel CLAss Detector
- A Grounded Typology of Word Classes
- OP-LoRA: The Blessing of Dimensionality
- The Correlated Gaussian Sparse Histogram Mechanism
- A Library for Learning Neural Operators
- VibrantVS: A high-resolution multi-task transformer for forest canopy height estimation
- Ensuring Force Safety in Vision-Guided Robotic Manipulation via Implicit Tactile Calibration
- A dual contrastive framework
- COMET: Benchmark for Comprehensive Biological Multi-omics Evaluation Tasks and Language Models
- Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining
- Shape error prediction in 5-axis machining using graph neural networks
- Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation
- Generative AI in Medicine
- MeshA*: Efficient Path Planning With Motion Primitives
- MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation
- Interlocking-free Selective Rationalization Through Genetic-based Learning
- TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes
- Iterating the Transient Light Transport Matrix for Non-Line-of-Sight Imaging
- Buzz to Broadcast: Predicting Sports Viewership Using Social Media Engagement
- Coherent 3D Scene Diffusion From a Single RGB Image
- Prompt-Guided Mask Proposal for Two-Stage Open-Vocabulary Segmentation
- Still "Talking About Large Language Models": Some Clarifications
- Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
- One world, one opinion? The superstar effect in LLM responses
- Envisioning National Resources for Artificial Intelligence Research: NSF Workshop Report
- TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation
- How to Spin an Object: First, Get the Shape Right
- Trustworthy and Explainable Decision-Making for Workforce allocation
- Benchmarking Linguistic Diversity of Large Language Models
- Does Multiple Choice Have a Future in the Age of Generative AI? A Posttest-only RCT
- Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication
- MVQ:Towards Efficient DNN Compression and Acceleration with Masked Vector Quantization
- Copy-Move Detection in Optical Microscopy: A Segmentation Network and A Dataset
- Targeted Angular Reversal of Weights (TARS) for Knowledge Removal in Large Language Models
- AniSora: Exploring the Frontiers of Animation Video Generation in the Sora Era
- Controlling Dynamical Systems into Unseen Target States Using Machine Learning
- Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Ambiguous Prompts and Unanswerable Questions
- Efficient Continual Pre-training of LLMs for Low-resource Languages
- Physics Instrument Design with Reinforcement Learning
- EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling
- SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians
- SPT: Sequence Prompt Transformer for Interactive Image Segmentation
- How good is my story? Towards quantitative metrics for evaluating LLM-generated XAI narratives
- Learning Complex Non-Rigid Image Edits from Multimodal Conditioning
- RAID-Database: human Responses to Affine Image Distortions
- Efficient Generative Modeling with Residual Vector Quantization-Based Tokens
- Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems
- High-dimensional Statistics Applications to Batch Effects in Metabolomics
- MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs
- Solving Robust Markov Decision Processes: Generic, Reliable, Efficient
- Sims: An Interactive Tool for Geospatial Matching and Clustering
- Multi-Head Encoding for Extreme Label Classification
- Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer
- UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection
- Learning payoffs while routing in skill-based queues
- Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation
- Data Integration with Fusion Searchlight: Classifying Brain States from Resting-state fMRI
- Arbitrary Reading Order Scene Text Spotter with Local Semantics Guidance
- WordVIS: A Color Worth A Thousand Words
- EVOS: Efficient Implicit Neural Training via EVOlutionary Selector
- Direct Encoding of Declare Constraints in ASP
- Investigating generalization capabilities of neural networks by means of loss landscapes and Hessian analysis
- TACOMORE: Exploring a replicable prompting protocol for LLM-assisted corpus analysis
- ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL
- Constraint-Aware Zero-Shot Vision-Language Navigation in Continuous Environments
- Can LLMs Convert Graphs to Text-Attributed Graphs?
- ASLoRA: Adaptive Sharing Low-Rank Adaptation Across Layers
- Optimal Bounds for Private Minimum Spanning Trees via Input Perturbation
- Feature Selection for Latent Factor Models
- Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data
- AMUSE: Adaptive Model Updating using a Simulated Environment
- HS-FPN: High Frequency and Spatial Perception FPN for Tiny Object Detection
- Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection
- Label-template based Few-Shot Text Classification with Contrastive Learning
- NetOrchLLM: Mastering Wireless Network Orchestration with Large Language Models
- A Cascaded Dilated Convolution Approach for Mpox Lesion Classification
- MALAMUTE: A Multilingual, Highly-granular, Template-free, Education-based Probing Dataset
- RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector
- AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation
- HiTZ at VarDial 2025 NorSID: Overcoming Data Scarcity with Language Transfer and Automatic Data Annotation
- AI in the Cosmos
- A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings
- Data Pruning Can Do More: A Comprehensive Data Pruning Approach for Object Re-identification
- Guidance Not Obstruction: A Conjugate Consistent Enhanced Strategy for Domain Generalization
- ProbeSDF: Light Field Probes for Neural Surface Reconstruction
- Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories
- Text2Cypher: Bridging Natural Language and Graph Databases
- Quaffure: Real-Time Quasi-Static Neural Hair Simulation
- Panacea: Novel DNN Accelerator using Accuracy-Preserving Asymmetric Quantization and Energy-Saving Bit-Slice Sparsity
- GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs?
- Unsupervised Named Entity Disambiguation for Low Resource Domains
- TSGaussian: Semantic and Depth-Guided Target-Specific Gaussian Splatting from Sparse Views
- ManipGPT: Is Affordance Segmentation by Large Vision Models Enough for Articulated Object Manipulation?
- Large Action Models: From Inception to Implementation
- RemDet: Rethinking Efficient Model Design for UAV Object Detection
- Are you doing better than random guessing? A call for using negative controls when evaluating causal discovery algorithms
- Timealign: A multi-modal object detection method for time misalignment fusing in autonomous driving
- Single-Pass Object-Focused Data Selection
- FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image Denoising
- Enhanced Speech Emotion Recognition with Efficient Channel Attention Guided Deep CNN-BiLSTM Framework
- Class flipping for uplift modeling and Heterogeneous Treatment Effect estimation on imbalanced RCT data
- Automated Collection of Evaluation Dataset for Semantic Search in Low-Resource Domain Language
- The role of inhibitory control in garden-path sentence processing: A Chinese-English bilingual perspective
- Matrix Completion via Residual Spectral Matching
- NeRF-Texture: Synthesizing Neural Radiance Field Textures
- NowYouSee Me: Context-Aware Automatic Audio Description
- GT23D-Bench: A Comprehensive General Text-to-3D Generation Benchmark
- Large Language Models for Persian leftrightarrow English Idiom Translation
- Visual Object Tracking across Diverse Data Modalities: A Review
- Small Language Model as Data Prospector for Large Language Model
- One Filter to Deploy Them All: Robust Safety for Quadrupedal Navigation in Unknown Environments
- AI and the Future of Digital Public Squares
- SplineGS: Robust Motion-Adaptive Spline for Real-Time Dynamic 3D Gaussians from Monocular Video
- SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints
- Real-Time Fall Detection Using Smartphone Accelerometers and WiFi Channel State Information
- Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
- GraSP: Simple yet Effective Graph Similarity Predictions
- Assessing high-order effects in feature importance via predictability decomposition
- What constitutes a Deep Fake? The blurry line between legitimate processing and manipulation under the EU AI Act
- END2: Robust Dual-Decoder Watermarking Framework Against Non-Differentiable Distortions
- Romanized to Native Malayalam Script Transliteration Using an Encoder-Decoder Framework
- textrmA^textrm2RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion
- Towards Fair Graph Neural Networks via Graph Counterfactual without Sensitive Attributes
- Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework
- Going Beyond Feature Similarity: Effective Dataset Distillation based on Class-Aware Conditional Mutual Information
- Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models
- Predictive Query-based Pipeline for Graph Data
- Pixel Intensity Tracking for Remote Respiratory Monitoring: A Study on Indonesian Subject
- Neural Vector Tomography for Reconstructing a Magnetization Vector Field
- Simulating Hard Attention Using Soft Attention
- Low-Resource Fast Text Classification Based on Intra-Class and Inter-Class Distance Calculation
- FaceShield: Defending Facial Image against Deepfake Threats
- Precision-Enhanced Human-Object Contact Detection via Depth-Aware Perspective Interaction and Object Texture Restoration
- All-in-One: Transferring Vision Foundation Models into Stereo Matching
- IQViC: In-context, Question Adaptive Vision Compressor for Long-term Video Understanding LMMs
- One Node One Model: Featuring the Missing-Half for Graph Clustering
- MulSMo: Multimodal Stylized Motion Generation by Bidirectional Control Flow
- Analyzing Fairness of Computer Vision and Natural Language Processing Models
- TTAQ: Towards Stable Post-training Quantization in Continuous Domain Adaptation
- Analyzing Fairness of Classification Machine Learning Model with Structured Dataset
- Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP
- VQTalker: Towards Multilingual Talking Avatars through Facial Motion Tokenization
- Semi-Periodic Activation for Time Series Classification
- CSL-L2M: Controllable Song-Level Lyric-to-Melody Generation Based on Conditional Transformer with Fine-Grained Lyric and Musical Controls
- T-GMSI: A transformer-based generative model for spatial interpolation under sparse measurements
- Benchmarking Table Comprehension In The Wild
- Sharpening Your Density Fields: Spiking Neuron Aided Fast Geometry Learning
- Financial Fine-tuning a Large Time Series Model
- On the Limit of Language Models as Planning Formalizers
- Can Students Beyond The Teacher? Distilling Knowledge from Teacher's Bias
- Byte Latent Transformer: Patches Scale Better Than Tokens
- Dynamic Cross-Modal Alignment for Robust Semantic Location Prediction
- RP-SLAM: Real-time Photorealistic SLAM with Efficient 3D Gaussian Splatting
- Human-Like Embodied AI Interviewer: Employing Android ERICA in Real International Conference
- Data-Driven Transfer Learning Framework for Estimating Turning Movement Counts
- Brain-inspired Chaotic Graph Backpropagation for Large-scale Combinatorial Optimization
- Financial Sentiment Analysis: Leveraging Actual and Synthetic Data for Supervised Fine-tuning
- RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
- Understand the Effectiveness of Shortcuts through the Lens of DCA
- Deep Learning for Spectrum Prediction in Cognitive Radio Networks: State-of-the-Art, New Opportunities, and Challenges
- A Single-Frame and Multi-Frame Cascaded Image Super-Resolution Method
- Learning Structural Causal Models from Ordering: Identifiable Flow Models
- Super-Resolution for Remote Sensing Imagery via the Coupling of a Variational Model and Deep Learning
- Which cycling environment appears safer? Learning cycling safety perceptions from pairwise image comparisons
- Multivariate Time Series Clustering for Environmental State Characterization of Ground-Based Gravitational-Wave Detectors
- Low-Rank Adaptation with Task-Relevant Feature Enhancement for Fine-tuning Language Models
- Precise Antigen-Antibody Structure Predictions Enhance Antibody Development with HelixFold-Multimer
- Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanism
- FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing Tasks
- Federated Learning of Dynamic Bayesian Network via Continuous Optimization from Time Series Data
- ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression
- The Complexity Dynamics of Grokking
- LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering
- Making Classic GNNs Strong Baselines Across Varying Homophily: A Smoothness-Generalization Perspective
- deepNoC: A deep learning system to assign the number of contributors to a short tandem repeat DNA profile
- Infinite-dimensional next-generation reservoir computing
- CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection
- Is it the model or the metric -- On robustness measures of deeplearning models
- Semi-IIN: Semi-supervised Intra-inter modal Interaction Learning Network for Multimodal Sentiment Analysis
- EI-Drive: A Platform for Cooperative Perception with Realistic Communication Models
- A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data
- WaveOrder: A differentiable wave-optical framework for scalable biological microscopy with diverse modalities
- A Differentiable Wave Optics Model for End-to-End Computational Imaging System Optimization
- Acquisition of Spatially-Varying Reflectance and Surface Normals via Polarized Reflectance Fields
- Learning Visually Grounded Domain Ontologies via Embodied Conversation and Explanation
- A Novel Methodology in Credit Spread Prediction Based on Ensemble Learning and Feature Selection