Papers
Tue 31 Dec 2024
184 papers
- Goal Recognition using Actor-Critic OptimizationDeep reinforcement learning methods → Deep RL algorithms and representations
- Beyond Introspection: Reinforcing Thinking via Externalist Behavioral FeedbackLLM reasoning → Test-time compute and efficient thinking
- Titans: Learning to Memorize at Test TimeLLM reasoning → Test-time compute and efficient thinking
- Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothingState-space sequence models (S4, Mamba) → Core SSM architectures for language
- ICONS: Influence Consensus for Vision-Language Data SelectionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Enabling New HDLs with AgentsLLM agents and tool use → Software engineering coding agents
- Flash-Split: 2D Reflection Removal with Flash Cues and Latent Diffusion SeparationDiffusion models → Inverse problems and image restoration
- DiC: Rethinking Conv3x3 Designs in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- DreamDrive: Generative 4D Scene Modeling from Street View ImagesWorld models → World models for autonomous driving
- Unbiased GNN Learning via Fairness-Aware Subgraph DiffusionDiffusion models → Flow matching, time series and science
- Online Video Understanding: OVBench and VideoChat-OnlineMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Are the Values of LLMs Structurally Aligned with Humans? A Causal PerspectiveLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- VideoChat-Flash: Hierarchical Compression for Long-Context Video ModelingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning AbilitiesLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Probing Visual Language Priors in VLMsLLM reasoning → Multimodal reasoning +1
- Re-evaluating Automatic LLM System Ranking for Alignment with Human PreferenceLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- MCP-Solver: Integrating Language Models with Constraint Programming SystemsLLM agents and tool use → Tool learning and function calling
- Superposition in Transformers: A Novel Way of Building Mixture of ExpertsMixture-of-experts → MoE large language models
- A Method for Enhancing the Safety of Large Model Generation Based on Multi-dimensional Attack and DefenseLLM safety and security → Safety alignment, refusal and guardrails
- Score-Based Metropolis-Hastings AlgorithmsDiffusion models → Diffusion foundations and sampling
- SAT-LDM: Provably Generalizable Image Watermarking for Latent Diffusion Models with Self-Augmented TrainingDiffusion models → Robustness, privacy and adversarial aspects +1
- Differentiable Prompt Learning for Vision Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Unleashing Text-to-Image Diffusion Prior for Zero-Shot Image CaptioningDiffusion models → Image generation, text-to-image and editing
- Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agentsLLM reasoning → Reasoning for agents, planning and code +1
- S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral DomainDiffusion models → Diffusion recommenders
- Toward Information Theoretic Active Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning +1
- Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for FreeDiffusion models → Diffusion foundations and sampling +1
- FORM: Learning Expressive and Transferable First-Order Logic Reward MachinesDeep reinforcement learning methods → Interpretable and logic-guided RL
- RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented InstructionsRetrieval-augmented generation → RAG pipeline design and evaluation
- MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set ExpansionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and ReasoningMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation ModelsLLM reasoning → Spatial and embodied reasoning
- Retrieval-Augmented Generation with Graphs (GraphRAG)Retrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language ModelsWorld models → Embodied and robot world models +1
- Dual Diffusion for Unified Image Generation and UnderstandingMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- EQUATOR: A Deterministic Framework for Evaluating LLM Reasoning with Open-Ended Questions. # v1.0.0-betaLLM reasoning → Reasoning benchmarks and evaluation
- Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and RethinkingLLM reasoning → Prompting and chain-of-thought reasoning
- Generative Emergent Communication: Large Language Model is a Collective World ModelWorld models → World models for language agents
- Towards Unraveling and Improving Generalization in World ModelsWorld models → Latent predictive world models +1
- Image Fusion for Cross-Domain Sequential Recommendation
- Green AI: Which Programming Language Consumes the Most?
- Hybrid Firefly-Genetic Algorithm for Single and Multi-dimensional 0-1 Knapsack Problems
- A Systematic Review of Machine Learning Methods for Multimodal EEG Data in Clinical Application
- LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models
- Proof Recommendation System for the HOL4 Theorem Prover
- Advanced Displacement Magnitude Prediction in Multi-Material Architected Lattice Structure Beams Using Physics Informed Neural Network Architecture
- Fuzzy Model Identification and Self Learning with Smooth Compositions
- A Novel Convolution and Attention Mechanism-based Model for 6D Object Pose Estimation
- Disagree and Commit: Degrees of Argumentation-based Agreements
- A Hybrid Deep Learning and Model-Checking Framework for Accurate Brain Tumor Detection and Validation
- Towards Sustainable Large Language Model Serving
- CRRG-CLIP: Automatic Generation of Chest Radiology Reports and Classification of Chest Radiographs
- Tech Report: Divide and Conquer 3D Real-Time Reconstruction for Improved IGS
- Estimation of 3T MR images from 1.5T images regularized with Physics based Constraint
- Pan-infection Foundation Framework Enables Multiple Pathogen Prediction
- GDSR: Global-Detail Integration through Dual-Branch Network with Wavelet Losses for Remote Sensing Image Super-Resolution
- GAN-TAT: A Novel Framework Using Protein Interaction Networks in Druggable Gene Identification
- SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction
- A Fourfold Pathogen Reference Ontology Suite
- Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries
- Deeply Learned Robust Matrix Completion for Large-scale Low-rank Data Recovery
- Controlled Causal Hallucinations Can Estimate Phantom Nodes in Multiexpert Mixtures of Fuzzy Cognitive Maps
- Leaf diseases detection using deep learning methods
- Grade Inflation in Generative Models
- Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph
- 2 OLMo 2 Furious
- Finding Missed Code Size Optimizations in Compilers using LLMs
- Taming Feed-forward Reconstruction Models as Latent Encoders for 3D Generative Models
- Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays
- SoundBrush: Sound as a Brush for Visual Scene Editing
- Efficient Standardization of Clinical Notes using Large Language Models
- Applying Graph Explanation to Operator Fusion
- Different thresholding methods on Nearest Shrunken Centroid algorithm
- Matrix factorization and prediction for high dimensional co-occurrence count data via shared parameter alternating zero inflated Gamma model
- Gaussian Building Mesh (GBM): Extract a Building's 3D Mesh with Google Earth and Gaussian Splatting
- Global dense vector representations for words or items using shared parameter alternating Tweedie model
- A Study on Context Length and Efficient Transformers for Biomedical Image Analysis
- Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language
- Predicting Barge Presence and Quantity on Inland Waterways using Vessel Tracking Data: A Machine Learning Approach
- Optimizing Speech-Input Length for Speaker-Independent Depression Classification
- Time-Varying Graph Learning for Data with Heavy-Tailed Distribution
- STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes
- VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM
- "Dialogue" vs "Dialog" in NLP and AI research: Statistics from a Confused Discourse
- Gaze Prediction as a Function of Eye Movement Type and Individual Differences
- Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation
- Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning
- Sidewalk Hazard Detection Using Variational Autoencoder and One-Class SVM
- Sampling from multi-modal distributions with polynomial query complexity in fixed dimension via reverse diffusion
- An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
- AraSTEM: A Native Arabic Multiple Choice Question Benchmark for Evaluating LLMs Knowledge In STEM Subjects
- Finding the Underlying Viscoelastic Constitutive Equation via Universal Differential Equations and Differentiable Physics
- Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction
- Adaptive Tabu Dropout for Regularization of Deep Neural Network
- Extending XReason: Formal Explanations for Adversarial Detection
- Rapid Learning in Constrained Minimax Games with Negative Momentum
- Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq Approaches
- PyMilo: A Python Library for ML I/O
- Exploiting Boundary Loss for the Hierarchical Panoptic Segmentation of Plants and Leaves
All 184
- Systematic Evaluation and Guidelines for Segment Anything Model in Surgical Video Analysis
- TinyHelen's First Curriculum: Training and Evaluating Tiny Language Models in a Simpler Language Environment
- Innovative Silicosis and Pneumonia Classification: Leveraging Graph Transformer Post-hoc Modeling and Ensemble Techniques
- H-Net: A Multitask Architecture for Simultaneous 3D Force Estimation and Stereo Semantic Segmentation in Intracardiac Catheters
- CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval
- Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements
- Fotheidil: an Automatic Transcription System for the Irish Language
- Active Learning of General Halfspaces: Label Queries vs Membership Queries
- Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
- Two Cases of Deduction with Non-referring Descriptions
- Alternating minimization for square root principal component pursuit
- Dementia Detection using Multi-modal Methods on Audio Data
- Addressing Challenges in Data Quality and Model Generalization for Malaria Detection
- Efficient support ticket resolution using Knowledge Graphs
- Unrolled Creative Adversarial Network For Generating Novel Musical Pieces
- Do Students with Different Personality Traits Demonstrate Different Physiological Signals in Video-based Learning?
- Knowledge-aware equation discovery with automated background knowledge extraction
- Intuitive Analysis of the Quantization-based Optimization: From Stochastic and Quantum Mechanical Perspective
- OV-HHIR: Open Vocabulary Human Interaction Recognition Using Cross-modal Integration of Large Language Models
- B2Net: Camouflaged Object Detection via Boundary Aware and Boundary Fusion
- Whisper Turns Stronger: Augmenting Wav2Vec 2.0 for Superior ASR in Low-Resource Languages
- Outlier-Robust Linear System Identification Under Heavy-tailed Noise
- KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learning
- Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models
- TSPE: Task-Specific Prompt Ensemble for Improved Zero-Shot Audio Classification
- Efficient Relational Context Perception for Knowledge Graph Completion
- Trajectories of Change: Approaches for Tracking Knowledge Evolution
- Momentum-based minimization of the Ginzburg-Landau functional on Euclidean spaces and graphs
- Proactive Conversational Agents with Inner Thoughts
- Adventures in Demand Analysis Using AI
- Federated Dropout: Convergence Analysis and Resource Allocation
- STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis
- Design Optimizer for Soft Growing Robot Manipulators in Three-Dimensional Environments
- Low-Rank Adaptation for Foundation Models: A Comprehensive Review
- SPDZCoder: Combining Expert Knowledge with LLMs for Generating Privacy-Computing Code
- A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images
- Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding
- A New Dataset and Methodology for Malicious URL Classification
- PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAM
- Temporal Information Reconstruction and Non-Aligned Residual in Spiking Neural Networks for Speech Classification
- CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection
- Chunk-Distilled Language Modeling
- SG-Splatting: Accelerating 3D Gaussian Splatting with Spherical Gaussians
- Dynamic Prompt Adjustment for Multi-Label Class-Incremental Learning
- GRASP: Replace Redundant Layers with Adaptive Singular Parameters for Efficient Model Compression
- Loss-Aware Curriculum Learning for Chinese Grammatical Error Correction
- VoxVietnam: a Large-Scale Multi-Genre Dataset for Vietnamese Speaker Recognition
- OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies
- Autonomous Alignment with Human Value on Altruism through Considerate Self-imagination and Theory of Mind
- Improving Text-based Person Search via Part-level Cross-modal Correspondence
- Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction
- Temporal Dynamics Decoupling with Inverse Processing for Enhancing Human Motion Prediction
- M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference
- Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction
- diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs
- SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation
- Research on vehicle detection based on improved YOLOv8 network
- Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization
- Solving Partial Differential Equations with Random Feature Models
- ReFormer: Generating Radio Fakes for Data Augmentation
- Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems
- LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts
- Echoes in AI: Quantifying lack of plot diversity in LLM outputs
- A review of faithfulness metrics for hallucination assessment in Large Language Models
- Outlier-Robust Training of Machine Learning Models
- Enhancing Wireless Sensor Network Security through Integration with the ServiceNow Cloud Platform
- Collaborative Approaches to Enhancing Smart Vehicle Cybersecurity by AI-Driven Threat Detection
- Automatically Planning Optimal Parallel Strategy for Large Language Models
- Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion
- Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition
- Exploring Variability in Fine-Tuned Models for Text Classification with DistilBERT
- Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning
- Zero-Shot Strategies for Length-Controllable Summarization
- Federated Deep Subspace Clustering
- Extracting effective solutions hidden in large language models via generated comprehensive specialists: case studies in developing electronic devices
- CancerKG.ORG A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care
- DecoratingFusion: A LiDAR-Camera Fusion Network with the Combination of Point-level and Feature-level Fusion
- The Potential of LLMs in Automating Software Testing: From Generation to Reporting
- Debunking the CUDA Myth Towards GPU-based AI Systems
- An Empirical Evaluation of Large Language Models on Consumer Health Questions
- Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes
- GPT-4 on Clinic Depression Assessment: An LLM-Based Pilot Study
- MLLM-as-a-Judge for Image Safety without Human Labeling
- SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction