Papers

New on arXiv

Sun 5 May 2024

117 papers

Self-Reflection in LLM Agents: Effects on Problem-Solving PerformanceLLM agents and tool use → General LLM agent frameworks and benchmarks
Leveraging Lecture Content for Improved Feedback: Explorations with GPT-4 and Retrieval Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
Exploring the Compositional Deficiency of Large Language Models in Mathematical ReasoningLLM reasoning → Mathematical reasoning
ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action SpacesDeep reinforcement learning methods → RL for robot locomotion and manipulation
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
On Probabilistic and Causal Reasoning with Summation OperatorsLLM reasoning → Causal reasoning in LLMs
RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with ExplanationDeep reinforcement learning methods → Interpretable and logic-guided RL
Matten: Video Generation with Mamba-AttentionDiffusion models → Video generation +1
AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
High Order Reasoning for Time Critical Recommendation in Evidence-based MedicineLLM reasoning → Clinical and biomedical applications
DVMSR: Distillated Vision Mamba for Efficient Super-ResolutionState-space sequence models (S4, Mamba) → Vision Mamba backbones
Safe Reinforcement Learning with Learned Non-Markovian Safety ConstraintsDeep reinforcement learning methods → Safe and constrained RL
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical ReasoningLLM reasoning → Clinical and biomedical applications
Agent Hospital: A Simulacrum of Hospital with Evolvable Medical AgentsLLM agents and tool use → Medical and scientific domain agents
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-TrainingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
Mixture of partially linear expertsMixture-of-experts → MoE theory and gating functions
MVIP-NeRF: Multi-view 3D Inpainting on NeRF Scenes via Diffusion PriorDiffusion models → 3D, point cloud and scene generation
Language Evolution for Evading Social Media Regulation via LLM-based Multi-agent SimulationLLM agents and tool use → Social simulation and multi-agent debate
SMCD: High Realism Motion Style Transfer via Mamba-based DiffusionState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
Algorithmic collusion in a two-sided market: A rideshare exampleDeep reinforcement learning methods → Adversarial robustness and RL in finance
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility MaximizationRetrieval-augmented generation → RAG pipeline design and evaluation
Octopi: Object Property Reasoning with Large Tactile-Language ModelsLLM reasoning → Spatial and embodied reasoning
Visual Grounding Methods for Efficient Interaction with Desktop Graphical User Interfaces
LIFL: A Lightweight, Event-driven Serverless Platform for Federated Learning
ATG: Benchmarking Automated Theorem Generation for Generative Language Models
Exploring a Cognitive Architecture for Learning Arithmetic Equations
BetterNet: An Efficient CNN Architecture with Residual Learning and Attention for Precision Polyp Segmentation
Spatial Transfer Learning with Simple MLP
A Single Online Agent Can Efficiently Learn Mean Field Games
Predicting the usability of mobile applications using AI tools: the rise of large user interface models, opportunities, and challenges
Causal K-Means Clustering
AnoGAN for Tabular Data: A Novel Approach to Anomaly Detection
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection
Tree-based Ensemble Learning for Out-of-distribution Detection
Active Preference Learning for Ordering Items In- and Out-of-sample
Convolutional Learning on Directed Acyclic Graphs
Multi-hop graph transformer network for 3D human pose estimation
A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective
Performance Evaluation of Real-Time Object Detection for Electric Scooters
Explainable Malware Detection with Tailored Logic Explained Networks
On the performativity of SDG classifications in large bibliometric databases
Exploring prompts to elicit memorization in masked language model-based named entity recognition
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification
Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability to Mark Short Answer Questions in K-12 Education
E-TSL: A Continuous Educational Turkish Sign Language Dataset with Baseline Methods
Paintings and Drawings Aesthetics Assessment with Rich Attributes for Various Artistic Categories
SkelCap: Automated Generation of Descriptive Text from Skeleton Keypoint Sequences
Multi-Agent RL-Based Industrial AIGC Service Offloading over Wireless Edge Networks
Towards a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation
CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning
Robust Collaborative Perception without External Localization and Clock Devices
VectorPainter: Advanced Stylized Vector Graphics Synthesis Using Stroke-Style Priors
JOSENet: A Joint Stream Embedding Network for Violence Detection in Surveillance Videos
Score-based Generative Priors Guided Model-driven Network for MRI Reconstruction
Analysis of the Identifying Regulation with Adversarial Surrogates Algorithm
Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving
iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval
Invertible Residual Rescaling Models
Imaging Signal Recovery Using Neural Network Priors Under Uncertain Forward Model Parameters
Design, analysis, and manufacturing of a glass-plastic hybrid minimalist aspheric panoramic annular lens
Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling
Unraveling the Dominance of Large Language Models Over Transformer Models for Bangla Natural Language Inference: A Comprehensive Study
On the Tractability of SHAP Explanations under Markovian Distributions
Enabling Patient-side Disease Prediction via the Integration of Patient Narratives
Relay Decoding: Concatenating Large Language Models for Machine Translation
Unified Dynamic Scanpath Predictors Outperform Individually Trained Neural Models
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU
MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging
Fast TILs -- A Pipeline for Efficient TILs Estimation in Non-Small Cell Lung Cancer
Multimodal Sense-Informed Prediction of 3D Human Motions
SalFAU-Net: Saliency Fusion Attention U-Net for Salient Object Detection
Predicting Open-Hole Laminates Failure Using Support Vector Machines With Classical and Quantum Kernels
Sentiment Analysis Across Languages: Evaluation Before and After Machine Translation to English
A drone detector with modified backbone and multiple pyramid featuremaps enhancement structure (MDDPE)
FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients
Blending Distributed NeRFs with Tri-stage Robust Pose Optimization
Exploring the Improvement of Evolutionary Computation via Large Language Models
Revisiting a Pain in the Neck: Semantic Phrase Processing Benchmark for Language Models
I3Net: Inter-Intra-slice Interpolation Network for Medical Slice Synthesis
On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks
Halfway Escape Optimization: A Quantum-Inspired Solution for General Optimization Problems
Modelling Opaque Bilateral Market Dynamics in Financial Trading: Insights from a Multi-Agent Simulation Study
Responsible AI: Portraits with Intelligent Bibliometrics
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration
IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs
Scene-Adaptive Person Search via Bilateral Modulations
Fast One-Stage Unsupervised Domain Adaptive Person Search
You Only Need Half: Boosting Data Augmentation by Using Partial Content
Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy
Adaptive Guidance Learning for Camouflaged Object Detection
Sim2Real Transfer for Audio-Visual Navigation with Frequency-Adaptive Acoustic Field Prediction
Labeling supervised fine-tuning data with the scaling law
Region-specific Risk Quantification for Interpretable Prognosis of COVID-19
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli
PVTransformer: Point-to-Voxel Transformer for Scalable 3D Object Detection
Adaptive deep density approximation for stochastic dynamical systems

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