Papers
Thu 21 Nov 2024
270 papers
- Beyond Monte Carlo: Harnessing Diffusion Models to Simulate Financial Market DynamicsDiffusion models → Flow matching, time series and science
- Incentives to Build Houses, Trade Houses, or Trade House Building Skills in Simulated Worlds under Various Governing Systems or Institutions: Comparing Multi-agent Reinforcement Learning to Generative Agent-based ModelLLM agents and tool use → Social simulation and multi-agent debate
- Enhancing LLMs for Power System Simulations: A Feedback-driven Multi-agent FrameworkLLM agents and tool use → Financial trading and forecasting agents
- Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention MapsDiffusion models → Image generation, text-to-image and editing
- BiomedCoOp: Learning to Prompt for Biomedical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear TransformationState-space sequence models (S4, Mamba) → Core SSM architectures for language
- SRSA: A Cost-Efficient Strategy-Router Search Agent for Real-world Human-Machine InteractionsLLM agents and tool use → Web, search, and research agents
- Towards Knowledge Checking in Retrieval-augmented Generation: A Representation PerspectiveRetrieval-augmented generation → RAG pipeline design and evaluation
- GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AIMultimodal LLMs / vision-language models → Medical vision-language models
- LLaVA-MR: Large Language-and-Vision Assistant for Video Moment RetrievalMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Global Challenge for Safe and Secure LLMs Track 1LLM safety and security → Prompt injection and agent security
- Understanding World or Predicting Future? A Comprehensive Survey of World ModelsWorld models → World models for language agents
- Star-Agents: Automatic Data Optimization with LLM Agents for Instruction TuningLLM agents and tool use → General LLM agent frameworks and benchmarks
- Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- Stable Flow: Vital Layers for Training-Free Image EditingDiffusion models → Image generation, text-to-image and editing
- PhysFlow: Unleashing the Potential of Multi-modal Foundation Models and Video Diffusion for 4D Dynamic Physical Scene SimulationDiffusion models → Video generation
- Adversarial Data Poisoning Attacks on Quantum Machine Learning in the NISQ EraLLM safety and security → Machine unlearning
- Marco-o1: Towards Open Reasoning Models for Open-Ended SolutionsLLM reasoning → Test-time compute and efficient thinking
- Beyond Training: Dynamic Token Merging for Zero-Shot Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- Lightweight Safety Guardrails Using Fine-tuned BERT EmbeddingsLLM safety and security → Safety alignment, refusal and guardrails
- Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and ReconstructionDiffusion models → 3D, point cloud and scene generation
- CoNFiLD-inlet: Synthetic Turbulence Inflow Using Generative Latent Diffusion Models with Neural FieldsDiffusion models → Flow matching, time series and science
- Model Checking for Reinforcement Learning in Autonomous Driving: One Can Do More Than You Think!End-to-end autonomous driving → Reinforcement learning for driving
- Enhancing Medical Image Segmentation with Deep Learning and Diffusion ModelsDiffusion models → Medical imaging and segmentation
- SplatR : Experience Goal Visual Rearrangement with 3D Gaussian Splatting and Dense Feature MatchingWorld models → Embodied and robot world models
- DissolveStereo: Coarse Depth Injection for Zero-Shot Stereo Video GenerationDiffusion models → 3D, point cloud and scene generation
- Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image GuidanceMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Generalizing End-To-End Autonomous Driving In Real-World Environments Using Zero-Shot LLMsEnd-to-end autonomous driving → Large language models for driving
- FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token CompressionMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Evaluating the Robustness of Analogical Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation DesignLLM agents and tool use → Software engineering coding agents
- Novel View Extrapolation with Video Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMsRetrieval-augmented generation → Agentic RAG, agents and memory
- TaQ-DiT: Time-aware Quantization for Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- Spatiotemporal Decoupling for Efficient Vision-Based Occupancy ForecastingWorld models → World models for autonomous driving
- FoPru: Focal Pruning for Efficient Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMsLLM safety and security → Jailbreaking
- Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM ApplicationsRetrieval-augmented generation → Privacy and security of RAG
- BEST-STD: Bidirectional Mamba-Enhanced Speech Tokenization for Spoken Term DetectionState-space sequence models (S4, Mamba) → Speech and audio SSMs
- MMGenBench: Fully Automatically Evaluating LMMs from the Text-to-Image Generation PerspectiveMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- FunctionChat-Bench: Comprehensive Evaluation of Language Models' Generative Capabilities in Korean Tool-use DialogsLLM agents and tool use → Tool learning and function calling
- LLM-based Multi-Agent Systems: Techniques and Business PerspectivesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Zero-Shot Low-Light Image Enhancement via Joint Frequency Domain Priors Guided DiffusionDiffusion models → Inverse problems and image restoration
- SMoLoRA: Exploring and Defying Dual Catastrophic Forgetting in Continual Visual Instruction TuningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Learning to Cooperate with Humans using Generative AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- XAgents: A Framework for Interpretable Rule-Based Multi-Agents CooperationLLM reasoning → Reasoning for agents, planning and code +1
- Panther: Illuminate the Sight of Multimodal LLMs with Instruction-Guided Visual PromptsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Towards Full Delegation: Designing Ideal Agentic Behaviors for Travel PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
- Robust Detection of Watermarks for Large Language Models Under Human EditsLLM safety and security → Watermarking generated content and models
- DiffCom: Decoupled Sparse Priors Guided Diffusion Compression for Point CloudsDiffusion models → 3D, point cloud and scene generation
- InstCache: A Predictive Cache for LLM ServingEfficient LLM inference and serving → KV cache optimization
- MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive ControlDiffusion models → Diffusion and flow policies for robotics
- FastRAG: Retrieval Augmented Generation for Semi-structured DataRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Evaluation-Driven Development and Operations of LLM Agents: A Process Model and Reference ArchitectureLLM agents and tool use → General LLM agent frameworks and benchmarks
- NewsHomepages: Homepage Layouts Capture Information Prioritization Decisions
- Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systems
- Enhancing Prediction Models with Reinforcement Learning
- StackEval: Benchmarking LLMs in Coding Assistance
- Optimizing Student Ability Assessment: A Hierarchy Constraint-Aware Cognitive Diagnosis Framework for Educational Contexts
- The Global AI Vibrancy Tool
- EDA-Aware RTL Generation with Large Language Models
- Resampled Mutual Information for Clustering and Community Detection
- Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies
- Voice Communication Analysis in Esports
- EQNN: Enhanced Quantum Neural Network
- Stain-Invariant Representation for Tissue Classification in Histology Images
- CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning
- Adaptive Intelligence: leveraging insights from adaptive behavior in animals to build flexible AI systems
- Learning Volumetric Neural Deformable Models to Recover 3D Regional Heart Wall Motion from Multi-Planar Tagged MRI
- IterIS: Iterative Inference-Solving Alignment for LoRA Merging
- A No Free Lunch Theorem for Human-AI Collaboration
- An accuracy improving method for advertising click through rate prediction based on enhanced xDeepFM model
- Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models via Adversarial Distillation
- Evaluating Representational Similarity Measures from the Lens of Functional Correspondence
- ACE-Net: AutofoCus-Enhanced Convolutional Network for Field Imperfection Estimation with application to high b-value spiral Diffusion MRI
- HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition
- Generative AI for Music and Audio
- Beneath the Surface: The Role of Underwater Image Enhancement in Object Detection
- Predictive Analytics of Air Alerts in the Russian-Ukrainian War
- Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage
- Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare
- CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View Graphs
- On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms
- Solving Zero-Shot 3D Visual Grounding as Constraint Satisfaction Problems
- A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry
- G-RAG: Knowledge Expansion in Material Science
- Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net
- Learned, Lagged, LLM-splained: LLM Responses to End User Security Questions
- Gradient-based optimization for variational empirical Bayes multiple regression
- Variable Extraction for Model Recovery in Scientific Literature
- Privacy-Preserving Video Anomaly Detection: A Survey
- Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification
- Deep operator network models for predicting post-burn contraction
- Reducibility among NP-Hard graph problems and boundary classes
- An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domains
- The importance of the clustering model to detect new types of intrusion in data traffic
- SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation
- MyTimeMachine: Personalized Facial Age Transformation
- Open Challenges in the Formal Verification of Autonomous Driving
All 270
- The Double-Ellipsoid Geometry of CLIP
- Memory Backdoor Attacks on Neural Networks
- Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection
- NexusSplats: Efficient 3D Gaussian Splatting in the Wild
- Towards a Middleware for Large Language Models
- Detecting Distributed Denial of Service Attacks Using Logistic Regression and SVM Methods
- Variational Autoencoders for Efficient Simulation-Based Inference
- End-to-End Convolutional Activation Anomaly Analysis for Anomaly Detection
- From Pruning to Grafting: Dynamic Knowledge Redistribution via Learnable Layer Fusion
- Night-to-Day Translation via Illumination Degradation Disentanglement
- Planning-Driven Programming: A Large Language Model Programming Workflow
- U-Motion: Learned Point Cloud Video Compression with U-Structured Temporal Context Generation
- Exploring Accuracy-Fairness Trade-off in Large Language Models
- Delta-NAS: Difference of Architecture Encoding for Predictor-based Evolutionary Neural Architecture Search
- Multi-agent reinforcement learning strategy to maximize the lifetime of Wireless Rechargeable
- Revisiting the Integration of Convolution and Attention for Vision Backbone
- Whack-a-Chip: The Futility of Hardware-Centric Export Controls
- Learning Fair Robustness via Domain Mixup
- From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption
- Multimodal 3D Brain Tumor Segmentation with Adversarial Training and Conditional Random Field
- Multi-Agent Environments for Vehicle Routing Problems
- Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs
- Landing Trajectory Prediction for UAS Based on Generative Adversarial Network
- Multimodal Autoregressive Pre-training of Large Vision Encoders
- POS-tagging to highlight the skeletal structure of sentences
- Persistent Homology for Structural Characterization in Disordered Systems
- Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach
- Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems
- Synthesising Robust Controllers for Robot Collectives with Recurrent Tasks: A Case Study
- RV4Chatbot: Are Chatbots Allowed to Dream of Electric Sheep?
- ROSMonitoring 2.0: Extending ROS Runtime Verification to Services and Ordered Topics
- InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation
- Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas
- Indiscriminate Disruption of Conditional Inference on Multivariate Gaussians
- Agnostic Learning of Arbitrary ReLU Activation under Gaussian Marginals
- DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding
- Layer Pruning with Consensus: A Triple-Win Solution
- Overcomplete Tensor Decomposition via Koszul-Young Flattenings
- UnifiedCrawl: Aggregated Common Crawl for Affordable Adaptation of LLMs on Low-Resource Languages
- Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect
- Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
- Model-free learning of probability flows: Elucidating the nonequilibrium dynamics of flocking
- Outlier-robust Mean Estimation near the Breakdown Point via Sum-of-Squares
- BugSpotter: Automated Generation of Code Debugging Exercises
- Improving Routability Prediction via NAS Using a Smooth One-shot Augmented Predictor
- On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing
- EasyHOI: Unleashing the Power of Large Models for Reconstructing Hand-Object Interactions in the Wild
- Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review
- Neuro-Symbolic Query Optimization in Knowledge Graphs
- Efficient Aspect-Based Summarization of Climate Change Reports with Small Language Models
- Guided MRI Reconstruction via Schr"odinger Bridge
- Generating Realistic Adversarial Examples for Business Processes using Variational Autoencoders
- Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective
- Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models
- BERT-Based Approach for Automating Course Articulation Matrix Construction with Explainable AI
- From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification
- Natural Language Reinforcement Learning
- CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation
- Simulation-Aided Policy Tuning for Black-Box Robot Learning
- AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection
- Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data
- Generative Outpainting To Enhance the Memorability of Short-Form Videos
- HARP: A Large-Scale Higher-Order Ambisonic Room Impulse Response Dataset
- Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body
- Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks
- Regional Attention for Shadow Removal
- Why do language models perform worse for morphologically complex languages?
- ComfyGI: Automatic Improvement of Image Generation Workflows
- Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network
- Deep Learning Approach for Enhancing Oral Squamous Cell Carcinoma with LIME Explainable AI Technique
- CompetitorFormer: Competitor Transformer for 3D Instance Segmentation
- SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
- Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report
- Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks
- Differentiable SVD based on Moore-Penrose Pseudoinverse for Inverse Imaging Problems
- VAGUE: Visual Contexts Clarify Ambiguous Expressions
- RestorerID: Towards Tuning-Free Face Restoration with ID Preservation
- Learning from "Silly" Questions Improves Large Language Models, But Only Slightly
- Point Cloud Resampling with Learnable Heat Diffusion
- Uncertainty-Aware Regression for Socio-Economic Estimation via Multi-View Remote Sensing
- Umbrella Reinforcement Learning -- computationally efficient tool for hard non-linear problems
- Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence
- Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models
- WARLearn: Weather-Adaptive Representation Learning
- GNN-MultiFix: Addressing the pitfalls for GNNs for multi-label node classification
- MetaCropFollow: Few-Shot Adaptation with Meta-Learning for Under-Canopy Navigation
- Exploration by Running Away from the Past
- Self-supervised learning for radio-astronomy source classification: a benchmark
- Meaning at the Planck scale? Contextualized word embeddings for doing history, philosophy, and sociology of science
- The Master-Slave Encoder Model for Improving Patent Text Summarization: A New Approach to Combining Specifications and Claims
- Multi LoRA Meets Vision: Merging multiple adapters to create a multi task model
- DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization
- Stereo Anything: Unifying Zero-shot Stereo Matching with Large-Scale Mixed Data
- Out-Of-Distribution Detection with Diversification (Provably)
- REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting
- Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling
- Uterine Ultrasound Image Captioning Using Deep Learning Techniques
- Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference
- Assessing data-driven predictions of band gap and electrical conductivity for transparent conducting materials
- Time-Scale Separation in Q-Learning: Extending TD(triangle) for Action-Value Function Decomposition
- Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations
- Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics
- Lightweight Model Attribution and Detection of Synthetic Speech via Audio Residual Fingerprints
- Logic Augmented Generation
- Experimental comparison of graph-based approximate nearest neighbor search algorithms on edge devices
- Generative Intervention Models for Causal Perturbation Modeling
- SEMPose: A Single End-to-end Network for Multi-object Pose Estimation
- Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction
- Accelerated zero-order SGD under high-order smoothness and overparameterized regime
- Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection
- Market Making without Regret
- Safety Without Semantic Disruptions: Editing-free Safe Image Generation via Context-preserving Dual Latent Reconstruction
- On the Fairness, Diversity and Reliability of Text-to-Image Generative Models
- FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles
- Transforming Static Images Using Generative Models for Video Salient Object Detection
- Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach
- Sentiment Analysis of Economic Text: A Lexicon-Based Approach
- Material synthesis through simulations guided by machine learning: a position paper
- PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time Series
- Neuromorphic Attitude Estimation and Control
- LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues
- From Engineering Diagrams to Graphs: Digitizing P&IDs with Transformers
- Multimodal 3D Reasoning Segmentation with Complex Scenes
- Exponentially Consistent Nonparametric Linkage-Based Clustering of Data Sequences
- NBMLSS: probabilistic forecasting of electricity prices via Neural Basis Models for Location Scale and Shape
- Predictive Maintenance Study for High-Pressure Industrial Compressors: Hybrid Clustering Models
- Quantization without Tears
- ICODE: Modeling Dynamical Systems with Extrinsic Input Information
- Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization
- AmpliNetECG12: A lightweight SoftMax-based relativistic amplitude amplification architecture for 12 lead ECG classification
- PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation
- Dressing the Imagination: A Dataset for AI-Powered Translation of Text into Fashion Outfits and A Novel NeRA Adapter for Enhanced Feature Adaptation
- Schemato -- An LLM for Netlist-to-Schematic Conversion
- GraCo -- A Graph Composer for Integrated Circuits
- A cohomology-based Gromov-Hausdorff metric approach for quantifying molecular similarity
- CLFace: A Scalable and Resource-Efficient Continual Learning Framework for Lifelong Face Recognition
- Influence of Recommender Systems on Users: A Dynamical Systems Analysis
- Exploring applications of topological data analysis in stock index movement prediction
- Next-Generation Phishing: How LLM Agents Empower Cyber Attackers
- Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network
- Topology optimization of periodic lattice structures for specified mechanical properties using machine learning considering member connectivity
- Generative Fuzzy System for Sequence Generation
- Breaking Information Cocoons: A Hyperbolic Framework for Balancing Exploration and Exploitation in Recommender Systems
- Image Compression Using Novel View Synthesis Priors
- A Multimodal Approach to The Detection and Classification of Skin Diseases
- Dealing with Synthetic Data Contamination in Online Continual Learning
- Exact and approximate error bounds for physics-informed neural networks
- Multitask Learning for SAR Ship Detection with Gaussian-Mask Joint Segmentation
- Exploratory Study Of Human-AI Interaction For Hindustani Music
- Detecting Human Artifacts from Text-to-Image Models
- Segment Anything in Light Fields for Real-Time Applications via Constrained Prompting
- CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation
- Interactive and Expressive Code-Augmented Planning with Large Language Models
- Heterophilic Graph Neural Networks Optimization with Causal Message-passing
- FLRNet: A Deep Learning Method for Regressive Reconstruction of Flow Field From Limited Sensor Measurements
- AutoMixQ: Self-Adjusting Quantization for High Performance Memory-Efficient Fine-Tuning
- SemiKong: Curating, Training, and Evaluating A Semiconductor Industry-Specific Large Language Model
- Explaining GPTs' Schema of Depression: A Machine Behavior Analysis
- Hugging Rain Man: A Novel Facial Action Units Dataset for Analyzing Atypical Facial Expressions in Children with Autism Spectrum Disorder
- GalaxyEdit: Large-Scale Image Editing Dataset with Enhanced Diffusion Adapter
- Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model
- Adaptable Embeddings Network (AEN)
- NewsInterview: a Dataset and a Playground to Evaluate LLMs' Ground Gap via Informational Interviews
- A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles
- Benchmarking GPT-4 against Human Translators: A Comprehensive Evaluation Across Languages, Domains, and Expertise Levels
- Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals
- Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge
- Active Subsampling for Measurement-Constrained M-Estimation of Individualized Thresholds with High-Dimensional Data
- A Framework for Evaluating LLMs Under Task Indeterminacy
- GenBFA: An Evolutionary Optimization Approach to Bit-Flip Attacks on LLMs