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SymTax: Symbiotic Relationship and Taxonomy Fusion for Effective Citation Recommendation arxiv.org/abs/2406.01606 .IR .AI .CL

Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark arxiv.org/abs/2406.01607 .IR .AI .CL

System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes arxiv.org/abs/2406.01611 .ML .IR .LG

PhyPlan: Generalizable and Rapid Physical Task Planning with Physics Informed Skill Networks for Robot Manipulators arxiv.org/abs/2406.00001 .RO .AI .LG

VR Isle Academy: A VR Digital Twin Approach for Robotic Surgical Skill Development arxiv.org/abs/2406.00002 .RO .GR

Navigating the Future of Federated Recommendation Systems with Foundation Models arxiv.org/abs/2406.00004 .IR .AI .LG

Disentangling Specificity for Abstractive Multi-document Summarization arxiv.org/abs/2406.00005 .IR .AI

A Prompt-driven Task Planning Method for Multi-drones based on Large Language Model arxiv.org/abs/2406.00006 .RO .AI .CL

PyTorch-IE: Fast and Reproducible Prototyping for Information Extraction arxiv.org/abs/2406.00007 .IR .CL

KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery arxiv.org/abs/2406.00008 .IR .AI .CL

ULTra-AV: A Unified Longitudinal Trajectory Dataset for Automated Vehicle arxiv.org/abs/2406.00009 .RO

EnterpriseEM: Fine-tuned Embeddings for Enterprise Semantic Search arxiv.org/abs/2406.00010 .IR .CL

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation arxiv.org/abs/2406.00011 .IR .AI

Small Language Models for Application Interactions: A Case Study arxiv.org/abs/2405.20347 .CL .AI .LG

Linear Function Approximation as a Computationally Efficient Method to Solve Classical Reinforcement Learning Challenges arxiv.org/abs/2405.20350 .LG

ADR-BC: Adversarial Density Weighted Regression Behavior Cloning arxiv.org/abs/2405.20351 .LG .AI

Literature Filtering for Systematic Reviews with Transformers arxiv.org/abs/2405.20354 .DL .AI .CL .LG

Enhancing Adversarial Robustness in SNNs with Sparse Gradients arxiv.org/abs/2405.20355 .NE .CR .CV .LG

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