5
STKAN: Kolmogorov-Arnold Networks for Spatio-Temporal Forecasting
The authors introduce STKAN, a spatio-temporal forecasting architecture that leverages Kolmogorov-Arnold Networks to better model complex traffic data.
5
A Causal Model of Theory of Mind in Conflict for Artificial Intelligence
This paper proposes a causal framework to determine when artificial intelligence systems should engage in theory of mind processes during conflict scenarios.
5
SteinGate: Tail-Sensitive Safe Reinforcement Learning via Stein Discrepancy
The SteinGate framework introduces a new safety certification method for reinforcement learning to better mitigate rare but catastrophic risks.
5
A Self-Evolving Agent for Longitudinal Personal Health Management
HealthClaw is a proposed self-evolving agent architecture designed to provide longitudinal health management by maintaining private memory of user routines and medical history.
5
When Bots Join the Team: Bot Adoption and the Institutional Fabric of Open-Source Software Projects
Researchers analyzed nearly 3,000 GitHub projects to understand how the integration of automated bots as active participants influences the organizational structure of open-source software teams.
5
Reassessing Muon for Matrix Factorization
This paper provides a theoretical analysis of the Muon optimizer to clarify the mechanisms behind its performance advantages in large-scale deep learning.
5
Generative Compilation: On-the-Fly Compiler Feedback as AI Generates Code
The authors present a method for integrating compiler feedback directly into the autoregressive decoding process to improve the quality of AI-generated code.
5
IMMNet: Hybrid Fusion of Model-based and Data-driven Approaches for Maneuvering Target Tracking
IMMNet integrates traditional model-based tracking algorithms with neural components to improve the accuracy and interpretability of maneuvering target tracking in 3D environments.
5
Unleashing Multimodal Large Language Models for Training-free HOI Detection in the Wild
Researchers have proposed a training-free approach for detecting human-object interactions in the wild by leveraging the capabilities of multimodal large language models.
5
How Far Can Root Cause Analysis Go on Real-World Telemetry Data?
A study evaluating root cause analysis in microservice failures reveals that current AI and classical methods struggle to effectively process large-scale, multimodal telemetry data.
5
Traffic-Aware Randomized Smoothing for LLM-Based Network Intrusion Detection
A new defense mechanism called Traffic-Aware Randomized Smoothing has been proposed to improve the robustness of LLM-based network intrusion detection systems against traffic manipulation.
5
Set-shifting Behavioral Test for Harnessed Agents
A new benchmark based on cognitive psychology tests has been developed to evaluate how AI agents adapt when the reliability of their tools changes during operation.
5
Faithful Autoformalization of Natural Language Assertions
The authors introduced Monty, a framework designed to improve the accuracy of autoformalization by converting natural language specifications into executable software assertions.
5
Anatomically Faithful but Temporally Blind: Auditing Attribution for Left-Ventricular Ejection-Fraction Estimation from Echocardiography
A study evaluating deep learning models for echocardiography analysis reveals that current attribution methods often fail to verify temporal faithfulness in medical imaging predictions.
5
Networked Intelligence: Active Shared Context Graphs for Human-AI Team Science
This paper proposes a framework for networked intelligence that uses shared context graphs to facilitate collaboration among multiple AI agents in scientific research.
5
Learning Engagement Assistant (LEA): Cross-Course Scalability and Classroom Evaluation of an Agentic AI Tutoring System
A study evaluates the scalability and classroom performance of an AI tutoring agent that integrates retrieval-augmented generation with structured knowledge models.
5
From Language to Navigation Goals: A Vision-Language Approach for Semantic Navigation of Mobile Robots Using RGB-D Perception
A new framework enables mobile robots to interpret natural language commands for autonomous navigation using RGB-D perception.
5
GHR-VLM: Making Zero-Shot Transit Video Analytics Realizable with Grounded Hybrid Reasoning
The GHR-VLM framework combines grounded reasoning with vision-language models to enable zero-shot video analytics for transit systems without requiring task-specific training data.
5
ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Approaching Any Quantization Level
The ExTernD method introduces a post-training factorization technique for large language models that utilizes expanded-rank ternary decomposition to improve quantization efficiency and accuracy.
5
ScanFocus: A Coarse-to-Fine Framework for Spatio-Temporal Video Grounding
The proposed ScanFocus framework addresses computational efficiency and precision in spatio-temporal video grounding through a coarse-to-fine processing approach.
5
Federated Explainable Artificial Intelligence: Roles, Architectures, Evaluation, and Open Challenges
This review examines the integration of explainable AI techniques within federated learning architectures to improve transparency in privacy-preserving distributed model training.
5
Interventional Grounding Audits: Black-Box Premise-Dependency Tests for LLM Chain-of-Thought via Predicate Substitution
A new auditing method uses predicate substitution to test whether large language models genuinely rely on stated premises during chain-of-thought reasoning.
5
Interaction Protocol Shapes Moral Judgment in Multi-Agent Debate
A study demonstrates that the interaction protocols used in multi-agent debates significantly influence the moral reasoning and judgment outcomes of large language models.
5
Experience Memory Graph: One-Shot Error Correction for Agents
A new error-correction method called Experience Memory Graph aims to help LLM agents recover from failures in long-horizon tasks more efficiently than traditional reflection techniques.