Papers
Sat 15 Feb 2025
143 papers
- How Blind and Low-Vision Individuals Prefer Large Vision-Language Model-Generated Scene DescriptionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- CalibQuant: 1-Bit KV Cache Quantization for Multimodal LLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- A Closer Look at System Prompt RobustnessLLM safety and security → Prompt injection and agent security
- Self-supervised Attribute-aware Dynamic Preference Ranking AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time AdaptationDiffusion models → Diffusion foundations and sampling
- D-CIPHER: Dynamic Collaborative Intelligent Multi-Agent System with Planner and Heterogeneous Executors for Offensive SecurityLLM agents and tool use → Agent threats, guardrails and governance
- Probing Semantic Routing in Large Mixture-of-Expert ModelsMixture-of-experts → Expert routing strategies
- LLM-driven Knowledge Distillation for Dynamic Text-Attributed GraphsKnowledge distillation → Graph neural network distillation
- MET-Bench: Multimodal Entity Tracking for Evaluating the Limitations of Vision-Language and Reasoning ModelsWorld models → World models for language agents +1
- CiteCheck: Towards Accurate Citation Faithfulness DetectionRetrieval-augmented generation → RAG robustness and adaptive retrieval
- A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1LLM reasoning → Test-time compute and efficient thinking
- Accelerated co-design of robots through morphological pretrainingDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Is Depth All You Need? An Exploration of Iterative Reasoning in LLMsLLM reasoning → Prompting and chain-of-thought reasoning
- Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design AutomationLLM reasoning → Reasoning for agents, planning and code +1
- SkyReels-A1: Expressive Portrait Animation in Video Diffusion TransformersDiffusion models → Audio, speech and music
- Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- SVBench: A Benchmark with Temporal Multi-Turn Dialogues for Streaming Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Distraction is All You Need for Multimodal Large Language Model JailbreakingMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Tackling the Zero-Shot Reinforcement Learning Loss DirectlyDeep reinforcement learning methods → Deep RL algorithms and representations
- Which Features are Best for Successor Features?Deep reinforcement learning methods → Deep RL algorithms and representations
- The Philosophical Foundations of Growing AI Like A ChildLLM reasoning → Reasoning benchmarks and evaluation
- Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language AgentsLLM agents and tool use → Reinforcement learning for LLM agents +1
- Improving Retrieval-Augmented Deep Assertion Generation via Joint TrainingRetrieval-augmented generation → RAG for code
- CLoCKDistill: Consistent Location-and-Context-aware Knowledge Distillation for DETRsKnowledge distillation → Detection and dense prediction distillation
- Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMsRetrieval-augmented generation → Privacy and security of RAG +1
- Pushing up to the Limit of Memory Bandwidth and Capacity Utilization for Efficient LLM Decoding on Embedded FPGAEfficient LLM inference and serving → Serving systems and request scheduling
- USER-VLM 360: Personalized Vision Language Models with User-aware Tuning for Social Human-Robot InteractionsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Privacy Preservation through Practical Machine UnlearningLLM safety and security → Machine unlearning
- Retrieval-augmented Encoders for Extreme Multi-label Text ClassificationRetrieval-augmented generation → Generation and context integration
- Asymptotic evaluation of the information processing capacity in reservoir computing
- Exploring the Role of Artificial Intelligence and Machine Learning in Process Optimization for Chemical Industry
- Breast Lump Detection and Localization with a Tactile Glove Using Deep Learning
- Pulmonary Tuberculosis Edge Diagnosis System Based on MindSpore Framework: Low-cost and High-precision Implementation with Ascend 310 Chip
- SEM-CLIP: Precise Few-Shot Learning for Nanoscale Defect Detection in Scanning Electron Microscope Image
- Regularizacc~ao, aprendizagem profunda e interdisciplinaridade em problemas inversos mal-postos
- GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts
- AI and the Law: Evaluating ChatGPT's Performance in Legal Classification
- AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors
- Hallucinations are inevitable but can be made statistically negligible
- E2CB2former: Effecitve and Explainable Transformer for CB2 Receptor Ligand Activity Prediction
- Large Language Models for Extrapolative Modeling of Manufacturing Processes
- Fundamental Principles of Linguistic Structure are Not Represented by o3
- Reduced Order Modeling with Shallow Recurrent Decoder Networks
- The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training
- Evolving Hate Speech Online: An Adaptive Framework for Detection and Mitigation
- Do Deepfake Detectors Work in Reality?
- An Open-Source Web-Based Tool for Evaluating Open-Source Large Language Models Leveraging Information Retrieval from Custom Documents
- Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images
- PCGRLLM: Large Language Model-Driven Reward Design for Procedural Content Generation Reinforcement Learning
- Breaking Down the Hierarchy: A New Approach to Leukemia Classification
- Developing Conversational Speech Systems for Robots to Detect Speech Biomarkers of Cognition in People Living with Dementia
- Bridging the Sim-to-Real Gap for Athletic Loco-Manipulation
- RemInD: Remembering Anatomical Variations for Interpretable Domain Adaptive Medical Image Segmentation
- Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
- Broadcast Channel Cooperative Gain: An Operational Interpretation of Partial Information Decomposition
- Super Resolution image reconstructs via total variation-based image deconvolution: a majorization-minimization approach
- A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
- Layerwise Recall and the Geometry of Interwoven Knowledge in LLMs
- NitiBench: A Comprehensive Study of LLM Framework Capabilities for Thai Legal Question Answering
- Towards Effective Extraction and Evaluation of Factual Claims
- Multilingual Encoder Knows more than You Realize: Shared Weights Pretraining for Extremely Low-Resource Languages
- To Bin or not to Bin: Alternative Representations of Mass Spectra
- Implicit Neural Representations of Molecular Vector-Valued Functions
- LEAPS: A discrete neural sampler via locally equivariant networks
- Mobile Robotic Multi-View Photometric Stereo
- Generalizable speech deepfake detection via meta-learned LoRA
- The Vendiscope: An Algorithmic Microscope For Data Collections
- E-3DGS: Event-Based Novel View Rendering of Large-Scale Scenes Using 3D Gaussian Splatting
- Improved Offline Contextual Bandits with Second-Order Bounds: Betting and Freezing
- MITRE ATT&CK Applications in Cybersecurity and The Way Forward
- NeuroAMP: A Novel End-to-end General Purpose Deep Neural Amplifier for Personalized Hearing Aids
- On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
- BalanceBenchmark: A Survey for Multimodal Imbalance Learning
- Transformer-Driven Modeling of Variable Frequency Features for Classifying Student Engagement in Online Learning
- HybriDNA: A Hybrid Transformer-Mamba2 Long-Range DNA Language Model
- Beyond Known Fakes: Generalized Detection of AI-Generated Images via Post-hoc Distribution Alignment
- CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation
- FaceSwapGuard: Safeguarding Facial Privacy from DeepFake Threats through Identity Obfuscation
- Dynamic Influence Tracker: Measuring Time-Varying Sample Influence During Training
- ReReLRP -- Remembering and Recognizing Tasks with LRP
- Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak
- REGNav: Room Expert Guided Image-Goal Navigation
- Preconditioned Inexact Stochastic ADMM for Deep Model
- A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction
- Evaluating improvements on using Large Language Models (LLMs) for property extraction in the Open Research Knowledge Graph (ORKG)
- Learning to Explain Air Traffic Situation
- Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation
- Why is prompting hard? Understanding prompts on binary sequence predictors
- Human-Centric Community Detection in Hybrid Metaverse Networks with Integrated AI Entities
- LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
- 1bit-Merging: Dynamic Quantized Merging for Large Language Models
- BASE-SQL: A powerful open source Text-To-SQL baseline approach
- Beyond One-Size-Fits-All Pruning via Evolutionary Metric Search for Large Language Models
- VarGes: Improving Variation in Co-Speech 3D Gesture Generation via StyleCLIPS
- PropNet: a White-Box and Human-Like Network for Sentence Representation
- Semantics-aware Test-time Adaptation for 3D Human Pose Estimation
- A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization
- A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective
- NPSim: Nighttime Photorealistic Simulation From Daytime Images With Monocular Inverse Rendering and Ray Tracing
- Hyperdimensional Intelligent Sensing for Efficient Real-Time Audio Processing on Extreme Edge
All 143
- Why Domain Generalization Fail? A View of Necessity and Sufficiency
- Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal
- Improving action segmentation via explicit similarity measurement
- FuncGenFoil: Airfoil Generation and Editing Model in Function Space
- An Empirical Analysis of Uncertainty in Large Language Model Evaluations
- Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey
- Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
- Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling
- CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning
- Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy
- Artificial intelligence-enabled detection and assessment of Parkinson's disease using multimodal data: A survey
- Exploring Synaptic Resonance in Large Language Models: A Novel Approach to Contextual Memory Integration
- Superpose Task-specific Features for Model Merging
- Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
- Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning
- Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
- A Fast Quantum Image Compression Algorithm based on Taylor Expansion
- CAE-Net: Generalized Deepfake Image Detection using Convolution and Attention Mechanisms with Spatial and Frequency Domain Features
- GenComUI: Exploring Generative Visual Aids as Medium to Support Task-Oriented Human-Robot Communication
- FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting
- Hierarchically-Structured Open-Vocabulary Indoor Scene Synthesis with Pre-trained Large Language Model
- Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition
- Is Self-Supervised Pre-training on Satellite Imagery Better than ImageNet? A Systematic Study with Sentinel-2
- Towards Zero-Shot Task-Generalizable Learning on fMRI
- User Profile with Large Language Models: Construction, Updating, and Benchmarking
- Deep Learning for Wound Tissue Segmentation: A Comprehensive Evaluation using A Novel Dataset
- Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm
- LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization
- A Power Transform
- Dark Deceptions in DHCP: Dismantling Network Defenses
- BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop
- Demographic User Modeling for Social Robotics with Multimodal Pre-trained Models
- Toward Equitable Access: Leveraging Crowdsourced Reviews to Investigate Public Perceptions of Health Resource Accessibility
- Proof of Response
- Lost in the Passage: Passage-level In-context Learning Does Not Necessarily Need a "Passage"
- Code-Mixed Telugu-English Hate Speech Detection
- ControllableGPT: A Ground-Up Designed Controllable GPT for Molecule Optimization
- On Self-Adaptive Perception Loss Function for Sequential Lossy Compression
- K-Edit: Language Model Editing with Contextual Knowledge Awareness
- Network evasion detection with Bi-LSTM model
- ProMRVL-CAD: Proactive Dialogue System with Multi-Round Vision-Language Interactions for Computer-Aided Diagnosis
- Learning semantical dynamics and spatiotemporal collaboration for human pose estimation in video
- Optimizing CNN Architectures for Advanced Thoracic Disease Classification