3
Toward Robust In-Context Segmentation via Concept Guidance
This research proposes a concept-guided approach to improve the robustness and stability of in-context image segmentation models.
3
VOiLA: Vectorized Online Planning with Learned Diffusion Models for POMDP Agents
Researchers introduced a vectorized online planning approach using diffusion models to improve robot decision-making under uncertainty.
3
LLM-Driven Approach to Modeling Tool Interoperability in Automotive Domain
This paper proposes using large language models to automate the interoperability of heterogeneous modeling tools within the automotive engineering sector.
3
Reachability-Aware Pretraining for Efficient Target-Oriented Path Exploration in Temporal Knowledge Graph Reasoning
This paper proposes a reachability-aware pretraining method to improve the efficiency of reinforcement learning-based path exploration in temporal knowledge graph reasoning.
3
InCarEmo: A Multimodal Dataset for In-Cabin Emotion Recognition and Driver State Monitoring
Researchers released a multimodal dataset combining visual and conversational data to improve emotion recognition and state monitoring for automotive safety systems.
3
Analytic Abduction: Causal Decomposition and Governed Commitment for Human--AI Coordination
A new framework for analytic abduction is proposed to improve human-AI coordination by governing how models commit to causal explanations.
3
Grow-Prune-Freeze Networks: Adaptive & Continual Learning Technique for Olfactory Navigation
The Grow-Prune-Freeze network architecture provides a method for agents to perform continual learning in dynamic environments, specifically applied to olfactory navigation tasks.
3
Subjective functions
This paper explores the theoretical framework of subjective functions as a mechanism to enable artificial agents to autonomously generate and pursue their own goals.
3
Collaborative Spatial Learning with Multi-LLM Agents in Networked Social Experiments
This study explores how multi-LLM agent networks manage the balance between exploration and exploitation when solving spatial problems in different communication structures.
3
Candidate Attended Dialogue State Tracking Using BERT
This paper explores the application of BERT-based models to improve dialogue state tracking in task-oriented conversational AI systems.
3
Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions
The paper explores a neuro-symbolic approach to AGI, focusing on how robots can learn and perform deductions using a closed knowledge assumption.
3
Towards an Intention Abstraction Layer for Autonomous Industrial Systems
This paper proposes an intention abstraction layer to help coordinate autonomous industrial subsystems and prevent goal conflicts in shared environments.
3
REST: Receding Horizon Explorative Steiner Tree for Zero-Shot Object-Goal Navigation
A new navigation method called REST is proposed to improve zero-shot object-goal navigation by optimizing subgoal selection in unknown environments.
3
Spatial Normalization for Cross-Domain Retinal Layer Segmentation in Optical Coherence Tomography
This research introduces a spatial normalization technique to improve the accuracy of retinal layer segmentation in medical imaging across different domains.
3
Animating Petascale Time-varying Data on Commodity Hardware with LLM-assisted Scripting
Researchers have developed an LLM-assisted scripting tool that enables the visualization of massive petascale scientific datasets on standard consumer hardware.
3
IMEX Interaction-Based Model Explanation
The proposed IMEX framework introduces a method for explaining the internal decision-making processes of black-box predictive models.
3
Quality-Aware Robust Multi-View Clustering for Heterogeneous Observation Noise
A new method for multi-view clustering has been proposed to handle heterogeneous observation noise in data, moving beyond binary clean-or-corrupted assumptions.
3
DialogueVPR: Towards Conversational Visual Place Recognition
DialogueVPR introduces a conversational approach to visual place recognition, moving beyond static retrieval to handle complex spatial queries.
3
"Skill Issues'': Data-Centric Optimization of Lakehouse Agents
The authors examine methods for optimizing the skill sets and environmental configurations of coding agents to improve their performance on data lakehouse infrastructure.
3
Human AI Construction of Bayesian Networks for Operational Decision Support -- A Virtual Survey Approach
This research proposes using large language models to assist in the construction of Bayesian belief networks by synthesizing expert knowledge and data.
3
CausalGraphX: A Counterfactual Graph Neural Network Framework for Explainable Systemic Risk Assessment
CausalGraphX introduces a counterfactual graph neural network framework intended to provide more explainable systemic risk assessments in global financial networks.
3
Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition
A new dialogue summarization framework has been developed to better capture semantic and emotional dynamics by decomposing conversations based on topics and participants.
3
CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models
CatalogAgent is a new supervisor-mediated system designed to improve the accuracy of product attribute extraction in e-commerce databases using generative AI.
3
MAGIC: Transition-Aware Generation of Navigable Multi-Scene Game Worlds with Large Language Models
Researchers developed MAGIC, a framework that leverages large language models to automate the generation of navigable, multi-scene 3D game environments with consistent transitions.