Papers
Sun 25 Feb 2024
128 papers
- Evaluating Robustness of Generative Search Engine on Adversarial Factual QuestionsRetrieval-augmented generation → Privacy and security of RAG
- Reinforcement Learning Jazz Improvisation: When Music Meets Game TheoryDeep reinforcement learning methods → RL for games and combinatorial optimization
- Bootstrapping Cognitive Agents with a Large Language ModelLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM JailbreakersLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Diffusion Posterior Proximal Sampling for Image RestorationDiffusion models → Inverse problems and image restoration
- Photon-counting CT using a Conditional Diffusion Model for Super-resolution and Texture-preservationDiffusion models → Medical imaging and segmentation
- HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Defending Large Language Models against Jailbreak Attacks via Semantic SmoothingLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design ChoicesLLM safety and security → Watermarking generated content and models
- Hitting "Probe"rty with Non-Linearity, and MoreMechanistic interpretability → Knowledge and representations inside LLMs
- Cinematographic Camera Diffusion ModelDiffusion models → Video generation
- Don't Start from Scratch: Behavioral Refinement via Interpolant-based Policy DiffusionDiffusion models → Diffusion and flow policies for robotics +1
- Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding BridgeMultimodal LLMs / vision-language models → Video understanding with MLLMs
- How Likely Do LLMs with CoT Mimic Human Reasoning?LLM reasoning → Prompting and chain-of-thought reasoning
- Don't Forget Your Reward Values: Language Model Alignment via Value-based CalibrationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- GraphWiz: An Instruction-Following Language Model for Graph ProblemsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix EmbeddingsLLM safety and security → Jailbreaking
- Model Compression Method for S4 with Diagonal State Space Layers using Balanced TruncationState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Budget-Constrained Tool Learning with PlanningLLM agents and tool use → Tool learning and function calling
- DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
- RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records
- UrbanGPT: Spatio-Temporal Large Language Models
- LoRA Meets Dropout under a Unified Framework
- Cognitive Bias in Decision-Making with LLMs
- EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration
- Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale
- Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation
- More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning
- PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations
- An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection
- Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune
- NeSy is alive and well: A LLM-driven symbolic approach for better code comment data generation and classification
- Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach
- Lightweight, error-tolerant edge detection using memristor-enabled stochastic logics
- Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step
- Integrating Preprocessing Methods and Convolutional Neural Networks for Effective Tumor Detection in Medical Imaging
- IR2: Information Regularization for Information Retrieval
- Language Models for Code Completion: A Practical Evaluation
- Combining Machine Learning with Computational Fluid Dynamics using OpenFOAM and SmartSim
- ASEM: Enhancing Empathy in Chatbot through Attention-based Sentiment and Emotion Modeling
- One-stage Prompt-based Continual Learning
- ARIN: Adaptive Resampling and Instance Normalization for Robust Blind Inpainting of Dunhuang Cave Paintings
- Deep Neural Network Initialization with Sparsity Inducing Activations
- MoodCapture: Depression Detection Using In-the-Wild Smartphone Images
- How Can LLM Guide RL? A Value-Based Approach
- XAI-based gait analysis of patients walking with Knee-Ankle-Foot orthosis using video cameras
- GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction
- Communication Traffic Characteristics Reveal an IoT Devices Identity
- Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation
- DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software Ecosystem
- Distribution-Free Fair Federated Learning with Small Samples
- Consensus learning: A novel decentralised ensemble learning paradigm
- ChatMusician: Understanding and Generating Music Intrinsically with LLM
- From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility
- PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization
- What Generative Artificial Intelligence Means for Terminological Definitions
- LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
- A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity
- A statistical method for crack pre-detection in 3D concrete images
- AVI-Talking: Learning Audio-Visual Instructions for Expressive 3D Talking Face Generation
- InstructEdit: Instruction-based Knowledge Editing for Large Language Models
- Towards Accurate Post-training Quantization for Reparameterized Models
- DeepForge: Leveraging AI for Microstructural Control in Metal Forming via Model Predictive Control
- RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis
- Knowledge Fusion of Chat LLMs: A Preliminary Technical Report
- Towards Automated Knowledge Integration From Human-Interpretable Representations
- Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
- StochCA: A Novel Approach for Exploiting Pretrained Models with Cross-Attention
- Bayesian Neural Network For Personalized Federated Learning Parameter Selection
- Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis
- Deep Homography Estimation for Visual Place Recognition
- Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
- Equivariant Frames and the Impossibility of Continuous Canonicalization
- Pfeed: Generating near real-time personalized feeds using precomputed embedding similarities
- ROS-Causal: A ROS-based Causal Analysis Framework for Human-Robot Interaction Applications
- Training a Bilingual Language Model by Mapping Tokens onto a Shared Character Space
- Citation-Enhanced Generation for LLM-based Chatbots
- How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study
- Gradient-enhanced deep Gaussian processes for multifidelity modelling
- Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression
- Maximizing UAV Fog Deployment Efficiency for Critical Rescue Operations
- Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
- EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries
- Understanding Public Perceptions of AI Conversational Agents: A Cross-Cultural Analysis
- Deep Learning Approaches for Improving Question Answering Systems in Hepatocellular Carcinoma Research
- Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving
- Text Understanding and Generation Using Transformer Models for Intelligent E-commerce Recommendations
- Emotion Classification in Short English Texts using Deep Learning Techniques
- Exploiting Regional Information Transformer for Single Image Deraining
- Feature Selection Based on Orthogonal Constraints and Polygon Area
- HiGPT: Heterogeneous Graph Language Model
- TMT: Tri-Modal Translation between Speech, Image, and Text by Processing Different Modalities as Different Languages
- A Step-by-step Introduction to the Implementation of Automatic Differentiation
- Spectrum Extraction and Clipping for Implicitly Linear Layers
- OmniArch: Building Foundation Model For Scientific Computing
- Semi-supervised Open-World Object Detection
- Deep Contrastive Graph Learning with Clustering-Oriented Guidance
- PST-Bench: Tracing and Benchmarking the Source of Publications
- Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision
All 128
- Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation
- Post-Quantum Cryptography Neural Network
- Cross-Resolution Land Cover Classification Using Outdated Products and Transformers
- Cieran: Designing Sequential Colormaps via In-Situ Active Preference Learning
- Improved Hardness Results for Learning Intersections of Halfspaces
- Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
- A Machine Learning Approach to Detect Customer Satisfaction From Multiple Tweet Parameters
- C3: Confidence Calibration Model Cascade for Inference-Efficient Cross-Lingual Natural Language Understanding
- An Empirical Study of Challenges in Machine Learning Asset Management
- PIDformer: Transformer Meets Control Theory
- Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation
- Likelihood-based Mitigation of Evaluation Bias in Large Language Models
- Phonetic and Lexical Discovery of a Canine Language using HuBERT
- A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks
- Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood
- Capsule Endoscopy Image Enhancement for Small Intestinal Villi Clarity
- Structural Knowledge-Driven Meta-Learning for Task Offloading in Vehicular Networks with Integrated Communications, Sensing and Computing
- CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models
- Direct Punjabi to English speech translation using discrete units
- Hierarchical energy signatures using machine learning for operational visibility and diagnostics in automotive manufacturing
- VOLoc: Visual Place Recognition by Querying Compressed Lidar Map
- Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks
- On the dynamics of three-layer neural networks: initial condensation
- ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis
- DetoxLLM: A Framework for Detoxification with Explanations
- Attention-GAN for Anomaly Detection: A Cutting-Edge Approach to Cybersecurity Threat Management
- Rethinking Software Engineering in the Foundation Model Era: A Curated Catalogue of Challenges in the Development of Trustworthy FMware
- Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization