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Daily Arxiv
Daily Arxiv
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JWB-DH-V1: Benchmark for Joint Whole-Body Talking Avatar and Speech Generation Version 1
T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation
The Xeno Sutra: Can Meaning and Value be Ascribed to an AI-Generated "Sacred" Text?
Humanoid Occupancy: Enabling A Generalized Multimodal Occupancy Perception System on Humanoid Robots
Sem-DPO: Mitigating Semantic Inconsistency in Preference Optimization for Prompt Engineering
The Carbon Cost of Conversation, Sustainability in the Age of Language Models
Machine Learning Risk Intelligence for Green Hydrogen Investment: Insights for Duqm R3 Auction
Differential-UMamba: Rethinking Tumor Segmentation Under Limited Data Scenarios
Decoding Instructional Dialogue: Human-AI Collaborative Analysis of Teacher Use of AI Tool at Scale
Towards Facilitated Fairness Assessment of AI-based Skin Lesion Classifiers Through GenAI-based Image Synthesis
Reinforcement Learning Fine-Tunes a Sparse Subnetwork in Large Language Models
Machine learning-based multimodal prognostic models integrating pathology images and high-throughput omic data for overall survival prediction in cancer: a systematic review
Diffusion Beats Autoregressive in Data-Constrained Settings
SegQuant: A Semantics-Aware and Generalizable Quantization Framework for Diffusion Models
Linguistic and Embedding-Based Profiling of Texts generated by Humans and Large Language Models
AI-ming backwards: Vanishing archaeological landscapes in Mesopotamia and automatic detection of sites on CORONA imagery
Kodezi Chronos: A Debugging-First Language Model for Repository-Scale Code Understanding
TolerantECG: A Foundation Model for Imperfect Electrocardiogram
AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model
Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models
HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation
ZERO: Industry-ready Vision Foundation Model with Multi-modal Prompts
End-to-End Large Portfolio Optimization for Variance Minimization with Neural Networks through Covariance Cleaning
iPanda: An LLM-based Agent for Automated Conformance Testing of Communication Protocols
SurgiSR4K: A High-Resolution Endoscopic Video Dataset for Robotic-Assisted Minimally Invasive Procedures
Generating Heterogeneous Multi-dimensional Data : A Comparative Study
Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning
GLIMPSE: Holistic Cross-Modal Explainability for Large Vision-Language Models
Fine-Grained Perturbation Guidance via Attention Head Selection
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation
SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs
LinkTo-Anime: A 2D Animation Optical Flow Dataset from 3D Model Rendering
Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models
Adversarial bandit optimization for approximately linear functions
FB-RAG: Improving RAG with Forward and Backward Lookup
Mining Intrinsic Rewards from LLM Hidden States for Efficient Best-of-N Sampling
Learning Pareto-Optimal Rewards from Noisy Preferences: A Framework for Multi-Objective Inverse Reinforcement Learning
Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting
Multi-Modal Hypergraph Enhanced LLM Learning for Recommendation
OPAL: Encoding Causal Understanding of Physical Systems for Robot Learning
Not someone, but something: Rethinking trust in the age of medical AI
My Life in Artificial Intelligence: People, anecdotes, and some lessons learnt
SQuat: Subspace-orthogonal KV Cache Quantization
Levels of Analysis for Large Language Models
Narrative Context Protocol: An Open-Source Storytelling Framework for Generative AI
Conceptualizing Uncertainty: A Concept-based Approach to Explaining Uncertainty
Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning
A calibration test for evaluating set-based epistemic uncertainty representations
Multi-branch of Attention Yields Accurate Results for Tabular Data
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN
Latent Swap Joint Diffusion for 2D Long-Form Latent Generation
LIMO: Less is More for Reasoning
Implementing Large Quantum Boltzmann Machines as Generative AI Models for Dataset Balancing
A Survey on Memory-Efficient Transformer-Based Model Training in AI for Science
Breaking Memory Limits: Gradient Wavelet Transform Enhances LLMs Training
Back Home: A Computer Vision Solution to Seashell Identification for Ecological Restoration
DIVE: Taming DINO for Subject-Driven Video Editing
AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning
Puzzle Similarity: A Perceptually-guided Cross-Reference Metric for Artifact Detection in 3D Scene Reconstructions
Receding Hamiltonian-Informed Optimal Neural Control and State Estimation for Closed-Loop Dynamical Systems
Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation
Recovering Manifold Structure Using Ollivier-Ricci Curvature
Simulated patient systems are intelligent when powered by large language model-based AI agents
GSON: A Group-based Social Navigation Framework with Large Multimodal Model
Task Arithmetic for Language Expansion in Speech Translation
Geometric Algebra Meets Large Language Models: Instruction-Based Transformations of Separate Meshes in 3D, Interactive and Controllable Scenes
Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
IRASim: A Fine-Grained World Model for Robot Manipulation
MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Online Concurrent Multi-Robot Coverage Path Planning
The pitfalls of next-token prediction
Adversarial attacks and defenses in explainable artificial intelligence: A survey
Demystifying Misconceptions in Social Bots Research
A Multi-Agent System Enables Versatile Information Extraction from the Chemical Literature
What Does 'Human-Centred AI' Mean?
Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary Light
Enhancing Student Learning with LLM-Generated Retrieval Practice Questions: An Empirical Study in Data Science Courses
SLR: Automated Synthesis for Scalable Logical Reasoning
Towards Reliable Proof Generation with LLMs: A Neuro-Symbolic Approach
2D-Curri-DPO: Two-Dimensional Curriculum Learning for Direct Preference Optimization
An Algebraic Approach to Moralisation and Triangulation of Probabilistic Graphical Models
SAKE: Steering Activations for Knowledge Editing
Intrinsic Barriers and Practical Pathways for Human-AI Alignment: An Agreement-Based Complexity Analysis
A Scalable Approach to Probabilistic Neuro-Symbolic Robustness Verification
Ensuring Medical AI Safety: Interpretability-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data
Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search
A finite time analysis of distributed Q-learning
Foundation Models for Demand Forecasting via Dual-Strategy Ensembling
Supervised Quantum Image Processing
Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security
ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports
XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation
Exploring the Stratified Space Structure of an RL Game with the Volume Growth Transform
Bridging Synthetic and Real-World Domains: A Human-in-the-Loop Weakly-Supervised Framework for Industrial Toxic Emission Segmentation
Staining and locking computer vision models without retraining
Teach Me to Trick: Exploring Adversarial Transferability via Knowledge Distillation
ChemDFM-R: An Chemical Reasoner LLM Enhanced with Atomized Chemical Knowledge
Fine-Tuning Code Language Models to Detect Cross-Language Bugs
MapAgent: Trajectory-Constructed Memory-Augmented Planning for Mobile Task Automation
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MapAgent: Trajectory-Constructed Memory-Augmented Planning for Mobile Task Automation
Created by
Haebom
저자
Yi Kong, Dianxi Shi, Guoli Yang, Zhang ke-di, Chenlin Huang, Xiaopeng Li, Songchang Jin
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