Papers
Tue 24 Dec 2024
266 papers
- A Novel Task-Driven Method with Evolvable Interactive Agents Using Event Trees for Enhanced Emergency Decision SupportLLM agents and tool use → Agent threats, guardrails and governance
- Learning from Many Voices: Literary MT Using Multi-Reference Human and Synthetic DataSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Agents on the Bench: Large Language Model Based Multi Agent Framework for Trustworthy Digital JusticeLLM agents and tool use → Social simulation and multi-agent debate
- Diverse and Effective Red Teaming with Auto-generated Rewards and Multi-step Reinforcement LearningLLM safety and security → Prompt injection and agent security +1
- TAB: Transformer Attention Bottlenecks enable User Intervention and Debugging in Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- DynaGRAG | Exploring the Topology of Information for Advancing Language Understanding and Generation in Graph Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- PartGen: Part-level 3D Generation and Reconstruction with Multi-View Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive TransformersWorld models → World models for autonomous driving +1
- Explaining in Diffusion: Explaining a Classifier Through Hierarchical Semantics with Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Decentralized Intelligence in GameFi: Embodied AI Agents and the Convergence of DeFi and Virtual EcosystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video GenerationDiffusion models → Video generation
- LatentCRF: Continuous CRF for Efficient Latent DiffusionDiffusion models → Diffusion foundations and sampling
- Resolution-Robust 3D MRI Reconstruction with 2D Diffusion Priors: Diverse-Resolution Training Outperforms InterpolationDiffusion models → Medical imaging and segmentation
- 3DEnhancer: Consistent Multi-View Diffusion for 3D EnhancementDiffusion models → 3D, point cloud and scene generation
- Token-Budget-Aware LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous DrivingEnd-to-end autonomous driving → Large language models for driving
- GeAR: Graph-enhanced Agent for Retrieval-augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Multi-Modal Data Exploration via Language AgentsLLM agents and tool use → Web, search, and research agents
- GUI Testing Arena: A Unified Benchmark for Advancing Autonomous GUI Testing AgentLLM agents and tool use → GUI and mobile agents
- LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and LocatingLLM reasoning → Multimodal reasoning +1
- Fashionability-Enhancing Outfit Image Editing with Conditional Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and EnglishLLM reasoning → Mathematical reasoning
- Discovery of 2D Materials via Symmetry-Constrained Diffusion ModelDiffusion models → Flow matching, time series and science
- Extract Free Dense Misalignment from CLIPMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- RDPM: Solve Diffusion Probabilistic Models via Recurrent Token PredictionDiffusion models → Diffusion foundations and sampling
- Scaling Capability in Token Space: An Analysis of Large Vision Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- RaSeRec: Retrieval-Augmented Sequential RecommendationRetrieval-augmented generation → RAG for recommendation
- Defining and Detecting the Defects of the Large Language Model-based Autonomous AgentsLLM agents and tool use → Software engineering coding agents
- Multi-Agents Based on Large Language Models for Knowledge-based Visual Question AnsweringLLM agents and tool use → Multimodal and embodied agents
- Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph LearningState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree SearchLLM reasoning → Knowledge- and tool-augmented reasoning
- Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language ModelMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- FameBias: Embedding Manipulation Bias Attack in Text-to-Image ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Quo Vadis, Anomaly Detection? LLMs and VLMs in the SpotlightLLM reasoning → Chain-of-thought reasoning for driving +1
- Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge BasesRetrieval-augmented generation → Privacy and security of RAG
- Enhancing Multi-Robot Semantic Navigation Through Multimodal Chain-of-Thought Score CollaborationLLM reasoning → Spatial and embodied reasoning
- GDM4MMIMO: Generative Diffusion Models for Massive MIMO CommunicationsDiffusion models → Diffusion for compression and wireless
- Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- Sch"odinger Bridge Type Diffusion Models as an Extension of Variational AutoencodersDiffusion models → Diffusion foundations and sampling
- U-Mamba-Net: A highly efficient Mamba-based U-net style network for noisy and reverberant speech separationState-space sequence models (S4, Mamba) → Speech and audio SSMs
- ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content ModerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory searchDeep reinforcement learning methods → Quantum reinforcement learning
- VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning TasksLLM reasoning → Spatial and embodied reasoning
- Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential RecommendationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based AgentLLM agents and tool use → Financial trading and forecasting agents
- Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language ModelsLLM safety and security → Jailbreaking
- KunServe: Parameter-centric Memory Management for Efficient Memory Overloading Handling in LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and ConvergenceDiffusion models → Diffusion and flow policies for robotics
- Semantics Disentanglement and Composition for Universal Image Coding with Efficiently LLM Reasoning and Generative DiffusionLLM reasoning → Multimodal reasoning
- Dense-Face: Personalized Face Generation Model via Dense Annotation PredictionDiffusion models → Image generation, text-to-image and editing
- Ensuring Consistency for In-Image TranslationDiffusion models → Image generation, text-to-image and editing
- Learning Randomized ReductionsLLM agents and tool use → Educational agents and math problem solving
- AutoDroid-V2: Boosting SLM-based GUI Agents via Code GenerationLLM agents and tool use → GUI and mobile agents
- Unveiling Visual Perception in Language Models: An Attention Head Analysis ApproachMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Tackling the Dynamicity in a Production LLM Serving System with SOTA Optimizations via Hybrid Prefill/Decode/Verify Scheduling on Efficient Meta-kernelsEfficient LLM inference and serving → Serving systems and request scheduling
- Molly: Making Large Language Model Agents Solve Python Problem More LogicallyLLM agents and tool use → Web, search, and research agents
- AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- COMO: Cross-Mamba Interaction and Offset-Guided Fusion for Multimodal Object DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- MMFactory: A Universal Solution Search Engine for Vision-Language TasksMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- BIG-MoE: Bypass Isolated Gating MoE for Generalized Multimodal Face Anti-SpoofingMixture-of-experts → Vision mixture-of-experts
- An Ensemble Approach to Short-form Video Quality Assessment Using Multimodal LLMMultimodal LLMs / vision-language models → Image editing and quality assessment
- RNN-Based Models for Predicting Seizure Onset in Epileptic Patients
- Generative Modeling: A Review
- How Evaluation Choices Distort the Outcome of Generative Drug Discovery
- MERCURY: A fast and versatile multi-resolution based global emulator of compound climate hazards
- Machine Learning and Deep Learning Techniques used in Cybersecurity and Digital Forensics: a Review
- A Review of Latent Representation Models in Neuroimaging
- Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network
- FlameGS: Reconstruct flame light field via Gaussian Splatting
- ERPA: Efficient RPA Model Integrating OCR and LLMs for Intelligent Document Processing
- Multi-View Fusion Neural Network for Traffic Demand Prediction
- CAG: Chunked Augmented Generation for Google Chrome's Built-in Gemini Nano
- SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation
- Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching
- CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era
- High-accuracy sampling from constrained spaces with the Metropolis-adjusted Preconditioned Langevin Algorithm
- STITCH: Surface reconstrucTion using Implicit neural representations with Topology Constraints and persistent Homology
- TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications
- AgreeMate: Teaching LLMs to Haggle
- Video Is Worth a Thousand Images: Exploring the Latest Trends in Long Video Generation
- MapExplorer: New Content Generation from Low-Dimensional Visualizations
- From Hallucinations to Facts: Enhancing Language Models with Curated Knowledge Graphs
- Interplay of ISMS and AIMS in context of the EU AI Act
- Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency
- Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization
- Comparing analytic and data-driven approaches to parameter identifiability: A power systems case study
- Simple is not Enough: Document-level Text Simplification using Readability and Coherence
- 1.58-bit FLUX
- Nationality, Race, and Ethnicity Biases in and Consequences of Detecting AI-Generated Self-Presentations
- Scendi Score: Prompt-Aware Diversity Evaluation via Schur Complement of CLIP Embeddings
- ZenSVI: An Open-Source Software for the Integrated Acquisition, Processing and Analysis of Street View Imagery Towards Scalable Urban Science
- Video-Panda: Parameter-efficient Alignment for Encoder-free Video-Language Models
- Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models
- Long-Form Speech Generation with Spoken Language Models
- ZeroHSI: Zero-Shot 4D Human-Scene Interaction by Video Generation
- Local and Mixing-Based Algorithms for Gaussian Graphical Model Selection from Glauber Dynamics
- ClassifyViStA:WCE Classification with Visual understanding through Segmentation and Attention
- Text-Driven Tumor Synthesis
- A Paragraph is All It Takes: Rich Robot Behaviors from Interacting, Trusted LLMs
All 266
- Exploring Embedding Priors in Prompt-Tuning for Improved Interpretability and Control
- ReducedLUT: Table Decomposition with "Don't Care" Conditions
- Machine Learning Approaches to the Shafarevich-Tate Group of Elliptic Curves
- Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
- Scalable Quantum-Inspired Optimization through Dynamic Qubit Compression
- HNCI: High-Dimensional Network Causal Inference
- Zero-resource Speech Translation and Recognition with LLMs
- Efficient Aircraft Design Optimization Using Multi-Fidelity Models and Multi-fidelity Physics Informed Neural Networks
- FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis
- Distilling Fine-grained Sentiment Understanding from Large Language Models
- Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability
- Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention
- Consistency Checks for Language Model Forecasters
- Convergence of Statistical Estimators via Mutual Information Bounds
- Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
- Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
- GCN-ABFT: Low-Cost Online Error Checking for Graph Convolutional Networks
- On Characterizations for Language Generation: Interplay of Hallucinations, Breadth, and Stability
- Accelerating process control and optimization via machine learning: A review
- Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization
- Bayesian Optimization of Bilevel Problems
- Subsampling, aligning, and averaging to find circular coordinates in recurrent time series
- FedGIG: Graph Inversion from Gradient in Federated Learning
- An Empirical Analysis of Federated Learning Models Subject to Label-Flipping Adversarial Attack
- VORTEX: A Spatial Computing Framework for Optimized Drone Telemetry Extraction from First-Person View Flight Data
- Joint Adaptive OFDM and Reinforcement Learning Design for Autonomous Vehicles: Leveraging Age of Updates
- Neuron-Level Differentiation of Memorization and Generalization in Large Language Models
- Generating event descriptions under syntactic and semantic constraints
- How "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?
- An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving
- Segment-Based Attention Masking for GPTs
- A region-wide, multi-year set of crop field boundary labels for Africa
- MotifGPL: Motif-Enhanced Graph Prototype Learning for Deciphering Urban Social Segregation
- GeFL: Model-Agnostic Federated Learning with Generative Models
- Underwater Image Restoration via Polymorphic Large Kernel CNNs
- Multi-Agent Norm Perception and Induction in Distributed Healthcare
- 3DGraphLLM: Combining Semantic Graphs and Large Language Models for 3D Scene Understanding
- Is Large Language Model Good at Triple Set Prediction? An Empirical Study
- SoK: On the Offensive Potential of AI
- Unlocking the Potential of Multiple BERT Models for Bangla Question Answering in NCTB Textbooks
- MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learning
- Gaussian entropic optimal transport: Schr"odinger bridges and the Sinkhorn algorithm
- Research on the Proximity Relationships of Psychosomatic Disease Knowledge Graph Modules Extracted by Large Language Models
- Ultra-Low Complexity On-Orbit Compression for Remote Sensing Imagery via Block Modulated Imaging
- The Impact of the Single-Label Assumption in Image Recognition Benchmarking
- Exploring Flexible Scenario Generation in Godot Simulator
- A Statistical Framework for Ranking LLM-Based Chatbots
- How accurate is mechanobiology? A statistical test of cell force
- TPAoI: Ensuring Fresh Service Status at the Network Edge in Compute-First Networking
- Switch-a-View: View Selection Learned from Unlabeled In-the-wild Videos
- ARSGaussian: 3D Gaussian Splatting with LiDAR for Aerial Remote Sensing Novel View Synthesis
- ChaI-TeA: A Benchmark for Evaluating Autocompletion of Interactions with LLM-based Chatbots
- Bidirectional Topic Matching: Quantifying Thematic Overlap Between Corpora Through Topic Modelling
- Many Objective Problems Where Crossover is Provably Essential
- Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors
- Towards Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST)
- Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges
- Extracting triples from dialogues for conversational social agents
- Point-DeepONet: Predicting Nonlinear Fields on Non-Parametric Geometries under Variable Load Conditions
- Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor
- The Thousand Brains Project: A New Paradigm for Sensorimotor Intelligence
- Predator Prey Scavenger Model using Holling's Functional Response of Type III and Physics-Informed Deep Neural Networks
- Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization
- The Value of AI-Generated Metadata for UGC Platforms: Evidence from a Large-scale Field Experiment
- FloNa: Floor Plan Guided Embodied Visual Navigation
- HAUR: Human Annotation Understanding and Recognition Through Text-Heavy Images
- Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer
- Data-Driven Self-Supervised Graph Representation Learning
- M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models
- Learning to Play Against Unknown Opponents
- Navigating Data Corruption in Machine Learning: Balancing Quality, Quantity, and Imputation Strategies
- MineStudio: A Streamlined Package for Minecraft AI Agent Development
- DeepCRCEval: Revisiting the Evaluation of Code Review Comment Generation
- Dissipation alters modes of information encoding in small quantum reservoirs near criticality
- Towards understanding how attention mechanism works in deep learning
- Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
- On the Local Complexity of Linear Regions in Deep ReLU Networks
- Improved Feature Generating Framework for Transductive Zero-shot Learning
- Towards Modality Generalization: A Benchmark and Prospective Analysis
- UNet--: Memory-Efficient and Feature-Enhanced Network Architecture based on U-Net with Reduced Skip-Connections
- GenAI Content Detection Task 2: AI vs. Human -- Academic Essay Authenticity Challenge
- Sampling Bag of Views for Open-Vocabulary Object Detection
- Annotating References to Mythological Entities in French Literature
- NoiseHGNN: Synthesized Similarity Graph-Based Neural Network For Noised Heterogeneous Graph Representation Learning
- High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces
- Efficient Contrastive Explanations on Demand
- Investigating Large Language Models for Code Vulnerability Detection: An Experimental Study
- Robust Semi-Supervised Learning in Open Environments
- AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction
- RaCMC: Residual-Aware Compensation Network with Multi-Granularity Constraints for Fake News Detection
- An Improved Fault Diagnosis Strategy for Induction Motors Using Weighted Probability Ensemble Deep Learning
- Detection and Forecasting of Parkinson Disease Progression from Speech Signal Features Using MultiLayer Perceptron and LSTM
- Fr'echet regression with implicit denoising and multicollinearity reduction
- An Automatic Graph Construction Framework based on Large Language Models for Recommendation
- OMG-HD: A High-Resolution AI Weather Model for End-to-End Forecasts from Observations
- Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification
- Conditional Deep Canonical Time Warping
- Towards Macro-AUC oriented Imbalanced Multi-Label Continual Learning
- Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge Deployment
- Expand VSR Benchmark for VLLM to Expertize in Spatial Rules
- Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications
- GIMS: Image Matching System Based on Adaptive Graph Construction and Graph Neural Network
- Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning
- On the Effectiveness of Adversarial Training on Malware Classifiers
- SDM-Car: A Dataset for Small and Dim Moving Vehicles Detection in Satellite Videos
- Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge Networks
- Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportion
- BoxMAC -- A Boxing Dataset for Multi-label Action Classification
- Developing Cryptocurrency Trading Strategy Based on Autoencoder-CNN-GANs Algorithms
- Leveraging Deep Learning with Multi-Head Attention for Accurate Extraction of Medicine from Handwritten Prescriptions
- Auto-Prompt Generation is Not Robust: Prompt Optimization Driven by Pseudo Gradient
- An Analysis on Automated Metrics for Evaluating Japanese-English Chat Translation
- On the Applicability of Zero-Shot Cross-Lingual Transfer Learning for Sentiment Classification in Distant Language Pairs
- Learning Sign Language Representation using CNN LSTM, 3DCNN, CNN RNN LSTM and CCN TD
- TextMatch: Enhancing Image-Text Consistency Through Multimodal Optimization
- Unified Stochastic Framework for Neural Network Quantization and Pruning
- PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects
- VisionGRU: A Linear-Complexity RNN Model for Efficient Image Analysis
- Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization
- Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing
- Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi
- VISION: A Modular AI Assistant for Natural Human-Instrument Interaction at Scientific User Facilities
- Image Quality Assessment: Exploring Regional Heterogeneity via Response of Adaptive Multiple Quality Factors in Dictionary Space
- Smooth-Foley: Creating Continuous Sound for Video-to-Audio Generation Under Semantic Guidance
- scReader: Prompting Large Language Models to Interpret scRNA-seq Data
- GeneSUM: Large Language Model-based Gene Summary Extraction
- DepthLab: From Partial to Complete
- CoAM: Corpus of All-Type Multiword Expressions
- EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation
- Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media
- Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models
- Neural Conformal Control for Time Series Forecasting
- Text-Aware Adapter for Few-Shot Keyword Spotting
- An Instrumental Value for Data Production and its Application to Data Pricing
- What Constitutes a Less Discriminatory Algorithm?
- ERVD: An Efficient and Robust ViT-Based Distillation Framework for Remote Sensing Image Retrieval
- LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment
- UniPLV: Towards Label-Efficient Open-World 3D Scene Understanding by Regional Visual Language Supervision
- Exact Acceleration of Subgraph Graph Neural Networks by Eliminating Computation Redundancy
- VisionLLM-based Multimodal Fusion Network for Glottic Carcinoma Early Detection
- AEIOU: A Unified Defense Framework against NSFW Prompts in Text-to-Image Models
- Do Language Models Understand the Cognitive Tasks Given to Them? Investigations with the N-Back Paradigm
- Age Optimal Sampling for Unreliable Channels under Unknown Channel Statistics
- Spectrum-oriented Point-supervised Saliency Detector for Hyperspectral Images
- AIGT: AI Generative Table Based on Prompt
- SlimGPT: Layer-wise Structured Pruning for Large Language Models
- SongGLM: Lyric-to-Melody Generation with 2D Alignment Encoding and Multi-Task Pre-Training
- Beyond the Known: Enhancing Open Set Domain Adaptation with Unknown Exploration
- EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent
- An Attention-based Framework with Multistation Information for Earthquake Early Warnings
- LangYa: Revolutionizing Cross-Spatiotemporal Ocean Forecasting
- Real-world Deployment and Evaluation of PErioperative AI CHatbot (PEACH) -- a Large Language Model Chatbot for Perioperative Medicine
- BRIDGE: Bundle Recommendation via Instruction-Driven Generation
- Multi-Point Positional Insertion Tuning for Small Object Detection
- Convolutional Prompting for Broad-Domain Retinal Vessel Segmentation
- Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner
- Property Enhanced Instruction Tuning for Multi-task Molecule Generation with Large Language Models
- Prompt Tuning for Item Cold-start Recommendation
- Heterogeneous transfer learning for high-dimensional regression with feature mismatch
- Understanding Artificial Neural Network's Behavior from Neuron Activation Perspective
- Improving Factuality with Explicit Working Memory
- Automated Materials Discovery Platform Realized: Scanning Probe Microscopy of Combinatorial Libraries
- Lla-VAP: LSTM Ensemble of Llama and VAP for Turn-Taking Prediction
- Diverse Concept Proposals for Concept Bottleneck Models
- Neuron Empirical Gradient: Discovering and Quantifying Neurons Global Linear Controllability
- Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement Filtering