Papers
Sun 12 Nov 2023
101 papers
- Large Language Models are In-context Teachers for Knowledge ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Augmented Bridge MatchingDiffusion models → Flow matching, time series and science
- Simulating Public Administration Crisis: A Novel Generative Agent-Based Simulation System to Lower Technology Barriers in Social Science ResearchLLM agents and tool use → Social simulation and multi-agent debate
- Flames: Benchmarking Value Alignment of LLMs in ChineseLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- Sampler Scheduler for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- AudioChatLlama: Towards General-Purpose Speech Abilities for LLMsLLM reasoning → Audio-language model reasoning
- BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image SynthesisDiffusion models → Image generation, text-to-image and editing
- Detecting and Correcting Hate Speech in Multimodal Memes with Large Visual Language ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Are LLMs Rigorous Logical Reasoners? Empowering Natural Language Proof Generation by Stepwise Decoding with Contrastive LearningLLM reasoning → Reasoning benchmarks and evaluation
- High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery
- Evaluating the Efficacy of Interactive Language Therapy Based on LLM for High-Functioning Autistic Adolescent Psychological Counseling
- EPIM: Efficient Processing-In-Memory Accelerators based on Epitome
- Modeling User Viewing Flow Using Large Language Models for Article Recommendation
- Large Language Models' Understanding of Math: Source Criticism and Extrapolation
- CLAMP: A Contrastive Language And Molecule Pre-training Network
- ReIDTracker Sea: the technical report of BoaTrack and SeaDronesSee-MOT challenge at MaCVi of WACV24
- Application of a Dense Fusion Attention Network in Fault Diagnosis of Centrifugal Fan
- A Physics-informed Machine Learning-based Control Method for Nonlinear Dynamic Systems with Highly Noisy Measurements
- Creating a Discipline-specific Commons for Infectious Disease Epidemiology
- Assessing the Interpretability of Programmatic Policies with Large Language Models
- CD-COCO: A Versatile Complex Distorted COCO Database for Scene-Context-Aware Computer Vision
- Analytical Verification of Performance of Deep Neural Network Based Time-Synchronized Distribution System State Estimation
- An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making
- Physics-Informed Data Denoising for Real-Life Sensing Systems
- Anchor Data Augmentation
- Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels
- Robust Regression over Averaged Uncertainty
- Towards Climate Variable Prediction with Conditioned Spatio-Temporal Normalizing Flows
- SegReg: Segmenting OARs by Registering MR Images and CT Annotations
- A GPU-Accelerated Moving-Horizon Algorithm for Training Deep Classification Trees on Large Datasets
- Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach
- 5G Networks and IoT Devices: Mitigating DDoS Attacks with Deep Learning Techniques
- Video-based sympathetic arousal assessment via peripheral blood flow estimation
- Attention for Causal Relationship Discovery from Biological Neural Dynamics
- Concept Matching: Clustering-based Federated Continual Learning
- Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks
- FLASH-RL: Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning
- TSViT: A Time Series Vision Transformer for Fault Diagnosis
- Retrieval and Generative Approaches for a Pregnancy Chatbot in Nepali with Stemmed and Non-Stemmed Data : A Comparative Study
- An Application of Vector Autoregressive Model for Analyzing the Impact of Weather And Nearby Traffic Flow On The Traffic Volume
- Setting a Baseline for long-shot real-time Player and Ball detection in Soccer Videos
- Preserving Node-level Privacy in Graph Neural Networks
- Anticipating User Needs: Insights from Design Fiction on Conversational Agents for Computational Thinking
- pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing
- Unified machine learning tasks and datasets for enhancing renewable energy
- Concept-wise Fine-tuning Matters in Preventing Negative Transfer
- Understanding Practices around Computational News Discovery Tools in the Domain of Science Journalism
- Can Large Language Models Augment a Biomedical Ontology with missing Concepts and Relations?
- On learning spatial sequences with the movement of attention
- DialMAT: Dialogue-Enabled Transformer with Moment-Based Adversarial Training
- Contrastive Learning of View-Invariant Representations for Facial Expressions Recognition
- Automatic Textual Normalization for Hate Speech Detection
- Omitted Labels Induce Nontransitive Paradoxes in Causality
- Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent
- GIELLM: Japanese General Information Extraction Large Language Model Utilizing Mutual Reinforcement Effect
- GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters
- Open-Set Graph Anomaly Detection via Normal Structure Regularisation
- Osteoporosis Prediction from Hand and Wrist X-rays using Image Segmentation and Self-Supervised Learning
- Towards Continual Reinforcement Learning for Quadruped Robots
- Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms
- Training A Multi-stage Deep Classifier with Feedback Signals
- Cricket Player Profiling: Unraveling Strengths and Weaknesses Using Text Commentary Data
- On original and latent space connectivity in deep neural networks
- Evaluation of GPT-4 for chest X-ray impression generation: A reader study on performance and perception
- On the Robustness of Question Rewriting Systems to Questions of Varying Hardness
- Tunable Soft Prompts are Messengers in Federated Learning
- A Comprehensive Survey On Client Selections in Federated Learning
- MetaMix: Meta-state Precision Searcher for Mixed-precision Activation Quantization
- Dual-Branch Reconstruction Network for Industrial Anomaly Detection with RGB-D Data
- Deep Perspective Transformation Based Vehicle Localization on Bird's Eye View
- CL-Flow:Strengthening the Normalizing Flows by Contrastive Learning for Better Anomaly Detection
- InfMLLM: A Unified Framework for Visual-Language Tasks
- Explainability of Vision Transformers: A Comprehensive Review and New Perspectives
- Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
- Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering
- ChatAnything: Facetime Chat with LLM-Enhanced Personas
- Learning Globally Optimized Language Structure via Adversarial Training
- Learning Predictive Safety Filter via Decomposition of Robust Invariant Set
- Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding
- Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension
- Personalized Federated Learning via ADMM with Moreau Envelope
- Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
- Aggregate, Decompose, and Fine-Tune: A Simple Yet Effective Factor-Tuning Method for Vision Transformer
- How do Minimum-Norm Shallow Denoisers Look in Function Space?
- Two Stream Scene Understanding on Graph Embedding
- DeepQC: A Deep Learning System for Automatic Quality Control of In-situ Soil Moisture Sensor Time Series Data
- An advantage based policy transfer algorithm for reinforcement learning with measures of transferability
- Comprehending Lexical and Affective Ontologies in the Demographically Diverse Spatial Social Media Discourse
- Controllable Topic-Focused Abstractive Summarization
- Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer
- What factors influence the popularity of user-generated text in the creative domain? A case study of book reviews
- ReactionT5: a large-scale pre-trained model towards application of limited reaction data
- Transfer Learning to Detect COVID-19 Coughs with Incremental Addition of Patient Coughs to Healthy People's Cough Detection Models
- Enabling Human-Centered AI: A Methodological Perspective
- An Investigation of Hepatitis B Virus Genome using Markov Models
- Trusted Source Alignment in Large Language Models
- Simple and Effective Input Reformulations for Translation
- Conversational Data Exploration: A Game-Changer for Designing Data Science Pipelines