Papers
Sun 14 Jan 2024
73 papers
- Beyond Sparse Rewards: Enhancing Reinforcement Learning with Language Model Critique in Text GenerationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance DesignDeep reinforcement learning methods → RL for autonomous driving and traffic
- CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding ChallengesLLM agents and tool use → Software engineering coding agents
- Small LLMs Are Weak Tool Learners: A Multi-LLM AgentLLM agents and tool use → General LLM agent frameworks and benchmarks
- CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- BET: Explaining Deep Reinforcement Learning through The Error-Prone DecisionsDeep reinforcement learning methods → Interpretable and logic-guided RL
- Reinforcement Learning from LLM Feedback to Counteract Goal MisgeneralizationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Streamlining the Selection Phase of Systematic Literature Reviews (SLRs) Using AI-Enabled GPT-4 Assistant API
- Multi-objective Optimal Roadside Units Deployment in Urban Vehicular Networks
- Killer Apps: Low-Speed, Large-Scale AI Weapons
- Generative Ghosts: Anticipating Benefits and Risks of AI Afterlives
- MorpheusNet: Resource efficient sleep stage classifier for embedded on-line systems
- Window Stacking Meta-Models for Clinical EEG Classification
- A Framework for Agricultural Food Supply Chain using Blockchain
- Do We Really Even Need Data?
- Computationally Efficient Optimisation of Elbow-Type Draft Tube Using Neural Network Surrogates
- On Image Search in Histopathology
- Hierarchical Source-to-Post-Route QoR Prediction in High-Level Synthesis with GNNs
- Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence
- A Strong Inductive Bias: Gzip for binary image classification
- Knee or ROC
- A Rapid Review of Clustering Algorithms
- Noise-Aware Training of Neuromorphic Dynamic Device Networks
- How do machines learn? Evaluating the AIcon2abs method
- Inference of dynamical gene regulatory networks from single-cell data with physics informed neural networks
- Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor Search
- A Data-driven Resilience Framework of Directionality Configuration based on Topological Credentials in Road Networks
- Generation of Synthetic Images for Pedestrian Detection Using a Sequence of GANs
- Active Learning for NLP with Large Language Models
- PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws
- PersonalityChat: Conversation Distillation for Personalized Dialog Modeling with Facts and Traits
- Promptformer: Prompted Conformer Transducer for ASR
- Reliability and Interpretability in Science and Deep Learning
- Harnessing Machine Learning for Discerning AI-Generated Synthetic Images
- Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations
- Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
- Who Said What? An Automated Approach to Analyzing Speech in Preschool Classrooms
- The Afterlives of Shakespeare and Company in Online Social Readership
- Construction and Evaluation of Mandarin Multimodal Emotional Speech Database
- ELLA-V: Stable Neural Codec Language Modeling with Alignment-guided Sequence Reordering
- Beyond Traditional Approaches: Multi-Task Network for Breast Ultrasound Diagnosis
- MapNeXt: Revisiting Training and Scaling Practices for Online Vectorized HD Map Construction
- RSUD20K: A Dataset for Road Scene Understanding In Autonomous Driving
- MapGPT: Map-Guided Prompting with Adaptive Path Planning for Vision-and-Language Navigation
- Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive Study
- Small Language Model Can Self-correct
- Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems
- Improving Domain Adaptation through Extended-Text Reading Comprehension
- FROST-BRDF: A Fast and Robust Optimal Sampling Technique for BRDF Acquisition
- Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells
- City Scene Super-Resolution via Geometric Error Minimization
- SpineCLUE: Automatic Vertebrae Identification Using Contrastive Learning and Uncertainty Estimation
- 3D Landmark Detection on Human Point Clouds: A Benchmark and A Dual Cascade Point Transformer Framework
- Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategy
- Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series
- MIMIC: Mask Image Pre-training with Mix Contrastive Fine-tuning for Facial Expression Recognition
- DCDet: Dynamic Cross-based 3D Object Detector
- Distilling Event Sequence Knowledge From Large Language Models
- The Effects of Data Imbalance Under a Federated Learning Approach for Credit Risk Forecasting
- Polariton lattices as binarized neuromorphic networks
- Use of Prior Knowledge to Discover Causal Additive Models with Unobserved Variables and its Application to Time Series Data
- Application of 2D Homography for High Resolution Traffic Data Collection using CCTV Cameras
- Self-supervised Event-based Monocular Depth Estimation using Cross-modal Consistency
- Depth-agnostic Single Image Dehazing
- Enhanced Few-Shot Class-Incremental Learning via Ensemble Models
- Unsupervised Domain Adaptation Using Compact Internal Representations
- Probabilistic Reduced-Dimensional Vector Autoregressive Modeling with Oblique Projections
- Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models
- Exploring Compressed Image Representation as a Perceptual Proxy: A Study
- Inroads to a Structured Data Natural Language Bijection and the role of LLM annotation
- Left-right Discrepancy for Adversarial Attack on Stereo Networks
- A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models
- Forecasting GDP in Europe with Textual Data