MOSAAIC: Managing Optimization towards Shared Autonomy, Authority, and Initiative in Co-creation

Automatic Reward Shaping from Confounded Offline Data

Extracting Explainable Dates From Medical Images By Reverse-Engineering UNIX Timestamps

Meta-World+: An Improved, Standardized, RL Benchmark

SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning

LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios

Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs

GLOVA: Global and Local Variation-Aware Analog Circuit Design with Risk-Sensitive Reinforcement Learning

Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration

Can Global XAI Methods Reveal Injected Bias in LLMs? SHAP vs Rule Extraction vs RuleSHAP

Feasibility with Language Models for Open-World Compositional Zero-Shot Learning

Reinforcement Learning for AMR Charging Decisions: The Impact of Reward and Action Space Design

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets

Navigating the Alpha Jungle: An LLM-Powered MCTS Framework for Formulaic Factor Mining

Predicting Student Dropout Risk With A Dual-Modal Abrupt Behavioral Changes Approach

Group Think: Multiple Concurrent Reasoning Agents Collaborating at Token Level Granularity

Analysis of Customer Journeys Using Prototype Detection and Counterfactual Explanations for Sequential Data

A Multi-modal Fusion Network for Terrain Perception Based on Illumination Aware

Think Twice Before You Act: Enhancing Agent Behavioral Safety with Thought Correction

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning

Most General Explanations of Tree Ensembles

RAGSynth: Synthetic Data for Robust and Faithful RAG Component Optimization

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production

Facets in Argumentation: A Formal Approach to Argument Significance

MPS-Prover: Advancing Stepwise Theorem Proving by Multi-Perspective Search and Data Curation

Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory

InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction

MCU: Improving Machine Unlearning through Mode Connectivity

Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models

TACO: Rethinking Semantic Communications with Task Adaptation and Context Embedding

PoE-World: Compositional World Modeling with Products of Programmatic Experts

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management

SECRET: Semi-supervised Clinical Trial Document Similarity Search

Qualia Optimization

Code-Driven Planning in Grid Worlds with Large Language Models

Evaluations at Work: Measuring the Capabilities of GenAI in Use

Interpretable Risk Mitigation in LLM Agent Systems

Embodied AI in Machine Learning -- is it Really Embodied?

On the Evaluation of Engineering Artificial General Intelligence

Modeling cognitive processes of natural reading with transformer-based Language Models

Improving Assembly Code Performance with Large Language Models via Reinforcement Learning

HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages

Disentangling Reasoning and Knowledge in Medical Large Language Models

HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation

LLMs unlock new paths to monetizing exploits

SurgPose: Generalisable Surgical Instrument Pose Estimation using Zero-Shot Learning and Stereo Vision

GODBench: A Benchmark for Multimodal Large Language Models in Video Comment Art

Mergenetic: a Simple Evolutionary Model Merging Library

Improving Object Detection Performance through YOLOv8: A Comprehensive Training and Evaluation Study

EdgeWisePersona: A Dataset for On-Device User Profiling from Natural Language Interactions

MID-L: Matrix-Interpolated Dropout Layer with Layer-wise Neuron Selection

Large Language Model Use Impact Locus of Control

Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner

Visual Planning: Let's Think Only with Images

Phare: A Safety Probe for Large Language Models

DecompileBench: A Comprehensive Benchmark for Evaluating Decompilers in Real-World Scenarios

Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language Models

Explaining Strategic Decisions in Multi-Agent Reinforcement Learning for Aerial Combat Tactics

Heterogeneity-Aware Client Sampling: A Unified Solution for Consistent Federated Learning

Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMs

TCC-Bench: Benchmarking the Traditional Chinese Culture Understanding Capabilities of MLLMs

Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models

TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes

Equal is Not Always Fair: A New Perspective on Hyperspectral Representation Non-Uniformity

A Set-Sequence Model for Time Series

Seeing Sound, Hearing Sight: Uncovering Modality Bias and Conflict of AI models in Sound Localization

Bayesian Hierarchical Invariant Prediction

RanDeS: Randomized Delta Superposition for Multi-Model Compression

Audio Turing Test: Benchmarking the Human-likeness of Large Language Model-based Text-to-Speech Systems in Chinese

User-centric Music Recommendations

FALCON: False-Negative Aware Learning of Contrastive Negatives in Vision-Language Pretraining

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning

CompAlign: Improving Compositional Text-to-Image Generation with a Complex Benchmark and Fine-Grained Feedback

Low-Resource Language Processing: An OCR-Driven Summarization and Translation Pipeline

From Intent Discovery to Recognition with Topic Modeling and Synthetic Data

Real-Time Verification of Embodied Reasoning for Generative Skill Acquisition

CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer

SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization

Maximizing Asynchronicity in Event-based Neural Networks

Attention on the Sphere

X2C: A Dataset Featuring Nuanced Facial Expressions for Realistic Humanoid Imitation

Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans

Scaling Reasoning can Improve Factuality in Large Language Models

One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework

PhiNet v2: A Mask-Free Brain-Inspired Vision Foundation Model from Video

Conditioning Matters: Training Diffusion Policies is Faster Than You Think

FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation

MAVOS-DD: Multilingual Audio-Video Open-Set Deepfake Detection Benchmark

PARSEC: Preference Adaptation for Robotic Object Rearrangement from Scene Context

Inferring the Most Similar Variable-length Subsequences between Multidimensional Time Series

Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors

A Fast Kernel-based Conditional Independence test with Application to Causal Discovery

Fault Diagnosis across Heterogeneous Domains via Self-Adaptive Temporal-Spatial Attention and Sample Generation

BLEUBERI: BLEU is a surprisingly effective reward for instruction following

Towards Self-Improvement of Diffusion Models via Group Preference Optimization

CUBIC: Concept Embeddings for Unsupervised Bias Identification using VLMs

Time Travel is Cheating: Going Live with DeepFund for Real-Time Fund Investment Benchmarking

Halting Recurrent GNNs and the Graded $μ$-Calculus

Assessing the Performance of Analog Training for Transfer Learning

CleanPatrick: A Benchmark for Image Data Cleaning

The heteronomy of algorithms: Traditional knowledge and computational knowledge

DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy

StRuCom: A Novel Dataset of Structured Code Comments in Russian

Humans expect rationality and cooperation from LLM opponents in strategic games

Review-Instruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language Models

Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning

Space Group Equivariant Crystal Diffusion

GenoArmory: A Unified Evaluation Framework for Adversarial Attacks on Genomic Foundation Models

Group-in-Group Policy Optimization for LLM Agent Training

Survey of End-to-End Multi-Speaker Automatic Speech Recognition for Monaural Audio

GROQLoco: Generalist and RObot-agnostic Quadruped Locomotion Control using Offline Datasets

Let the Trial Begin: A Mock-Court Approach to Vulnerability Detection using LLM-Based Agents

Relational Graph Transformer

Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design

Semantic Aware Linear Transfer by Recycling Pre-trained Language Models for Cross-lingual Transfer

Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation

GenKnowSub: Improving Modularity and Reusability of LLMs through General Knowledge Subtraction

Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations

A Survey on the Safety and Security Threats of Computer-Using Agents: JARVIS or Ultron?

Vaiage: A Multi-Agent Solution to Personalized Travel Planning

Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks

On the Security Risks of ML-based Malware Detection Systems: A Survey

Explain What You Mean: Intent Augmented Knowledge Graph Recommender Built With LLM

BanglaFake: Constructing and Evaluating a Specialized Bengali Deepfake Audio Dataset

Graph and Simplicial Complex Prediction Gaussian Process via the Hodgelet Representations

Preference Isolation Forest for Structure-based Anomaly Detection

MultiLink: Multi-class Structure Recovery via Agglomerative Clustering and Model Selection

Hashing for Structure-based Anomaly Detection

REI-Bench: Can Embodied Agents Understand Vague Human Instructions in Task Planning?

Optimal Allocation of Privacy Budget on Hierarchical Data Release

Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data

Ready2Unlearn: A Learning-Time Approach for Preparing Models with Future Unlearning Readiness

Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL

Creating General User Models from Computer Use

Enhancing Low-Resource Minority Language Translation with LLMs and Retrieval-Augmented Generation for Cultural Nuances

Attention-Based Reward Shaping for Sparse and Delayed Rewards

Analyzing Patterns and Influence of Advertising in Print Newspapers

Neural-Inspired Advances in Integral Cryptanalysis

Completely Weakly Supervised Class-Incremental Learning for Semantic Segmentation

A Systematic Analysis of Base Model Choice for Reward Modeling

Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting

Geofenced Unmanned Aerial Robotic Defender for Deer Detection and Deterrence (GUARD)

ChestyBot: Detecting and Disrupting Chinese Communist Party Influence Stratagems

Automating Security Audit Using Large Language Model based Agent: An Exploration Experiment

Learning Repetition-Invariant Representations for Polymer Informatics

AI-enhanced semantic feature norms for 786 concepts

A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment

GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics

Predicting Human Behavior in Autonomous Systems: A Collaborative Machine Teaching Approach for Reducing Transfer of Control Events

Towards an LLM-powered Social Digital Twinning Platform

Predicting Risk of Pulmonary Fibrosis Formation in PASC Patients

A Conformal Predictive Measure for Assessing Catastrophic Forgetting

Seasonal Forecasting of Pan-Arctic Sea Ice with State Space Model

CLIP Embeddings for AI-Generated Image Detection: A Few-Shot Study with Lightweight Classifier

Artificial Intelligence Bias on English Language Learners in Automatic Scoring

The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware)

Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and Interoperability

MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices

Continuity and Isolation Lead to Doubts or Dilemmas in Large Language Models

MIRAGE: A Multi-modal Benchmark for Spatial Perception, Reasoning, and Intelligence

Toward a Public and Secure Generative AI: A Comparative Analysis of Open and Closed LLMs

Enhancing IoT Cyber Attack Detection in the Presence of Highly Imbalanced Data

UDDETTS: Unifying Discrete and Dimensional Emotions for Controllable Emotional Text-to-Speech

Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment

Inclusivity of AI Speech in Healthcare: A Decade Look Back

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation

LLM-Explorer: Towards Efficient and Affordable LLM-based Exploration for Mobile Apps

Anchoring AI Capabilities in Market Valuations: The Capability Realization Rate Model and Valuation Misalignment Risk

Super-Resolution Generative Adversarial Networks based Video Enhancement

Understanding Gen Alpha Digital Language: Evaluation of LLM Safety Systems for Content Moderation

GRNN:Recurrent Neural Network based on Ghost Features for Video Super-Resolution

Large Language Models for Cancer Communication: Evaluating Linguistic Quality, Safety, and Accessibility in Generative AI

GarmentPile: Point-Level Visual Affordance Guided Retrieval and Adaptation for Cluttered Garments Manipulation