Content Feed

The latest content from across the network

[2603.27343] Beyond Completion: Probing Cumulative State Tracking to Predict LLM Agent Performance
Llms

[2603.27343] Beyond Completion: Probing Cumulative State Tracking to Predict LLM Agent Performance

Abstract page for arXiv paper 2603.27343: Beyond Completion: Probing Cumulative State Tracking to Predict LLM Agent Performance

arXiv - AI · 3 min ·
[2603.27338] CounterMoral: Editing Morals in Language Models
Llms

[2603.27338] CounterMoral: Editing Morals in Language Models

Abstract page for arXiv paper 2603.27338: CounterMoral: Editing Morals in Language Models

arXiv - AI · 3 min ·
[2603.27314] TokenDance: Token-to-Token Music-to-Dance Generation with Bidirectional Mamba
Machine Learning

[2603.27314] TokenDance: Token-to-Token Music-to-Dance Generation with Bidirectional Mamba

Abstract page for arXiv paper 2603.27314: TokenDance: Token-to-Token Music-to-Dance Generation with Bidirectional Mamba

arXiv - AI · 3 min ·
[2603.27304] EpochX: Building the Infrastructure for an Emergent Agent Civilization
Llms

[2603.27304] EpochX: Building the Infrastructure for an Emergent Agent Civilization

Abstract page for arXiv paper 2603.27304: EpochX: Building the Infrastructure for an Emergent Agent Civilization

arXiv - AI · 4 min ·
[2603.27150] MediHive: A Decentralized Agent Collective for Medical Reasoning
Llms

[2603.27150] MediHive: A Decentralized Agent Collective for Medical Reasoning

Abstract page for arXiv paper 2603.27150: MediHive: A Decentralized Agent Collective for Medical Reasoning

arXiv - AI · 3 min ·
[2603.27270] Quantification of Credal Uncertainty: A Distance-Based Approach
Machine Learning

[2603.27270] Quantification of Credal Uncertainty: A Distance-Based Approach

Abstract page for arXiv paper 2603.27270: Quantification of Credal Uncertainty: A Distance-Based Approach

arXiv - AI · 3 min ·
[2603.27303] Self-evolving AI agents for protein discovery and directed evolution
Robotics

[2603.27303] Self-evolving AI agents for protein discovery and directed evolution

Abstract page for arXiv paper 2603.27303: Self-evolving AI agents for protein discovery and directed evolution

arXiv - AI · 3 min ·
[2603.27195] AutoMS: Multi-Agent Evolutionary Search for Cross-Physics Inverse Microstructure Design
Machine Learning

[2603.27195] AutoMS: Multi-Agent Evolutionary Search for Cross-Physics Inverse Microstructure Design

Abstract page for arXiv paper 2603.27195: AutoMS: Multi-Agent Evolutionary Search for Cross-Physics Inverse Microstructure Design

arXiv - AI · 4 min ·
[2603.27169] Aligning LLMs with Graph Neural Solvers for Combinatorial Optimization
Llms

[2603.27169] Aligning LLMs with Graph Neural Solvers for Combinatorial Optimization

Abstract page for arXiv paper 2603.27169: Aligning LLMs with Graph Neural Solvers for Combinatorial Optimization

arXiv - AI · 3 min ·
[2603.27116] The Price of Meaning: Why Every Semantic Memory System Forgets
Nlp

[2603.27116] The Price of Meaning: Why Every Semantic Memory System Forgets

Abstract page for arXiv paper 2603.27116: The Price of Meaning: Why Every Semantic Memory System Forgets

arXiv - AI · 4 min ·
[2603.27164] daVinci-LLM:Towards the Science of Pretraining
Llms

[2603.27164] daVinci-LLM:Towards the Science of Pretraining

Abstract page for arXiv paper 2603.27164: daVinci-LLM:Towards the Science of Pretraining

arXiv - AI · 4 min ·
[2603.27076] When Verification Hurts: Asymmetric Effects of Multi-Agent Feedback in Logic Proof Tutoring
Llms

[2603.27076] When Verification Hurts: Asymmetric Effects of Multi-Agent Feedback in Logic Proof Tutoring

Abstract page for arXiv paper 2603.27076: When Verification Hurts: Asymmetric Effects of Multi-Agent Feedback in Logic Proof Tutoring

arXiv - AI · 4 min ·
[2603.26948] Compliance-Aware Predictive Process Monitoring: A Neuro-Symbolic Approach

[2603.26948] Compliance-Aware Predictive Process Monitoring: A Neuro-Symbolic Approach

Abstract page for arXiv paper 2603.26948: Compliance-Aware Predictive Process Monitoring: A Neuro-Symbolic Approach

arXiv - AI · 3 min ·
[2603.26765] Bitboard version of Tetris AI
Machine Learning

[2603.26765] Bitboard version of Tetris AI

Abstract page for arXiv paper 2603.26765: Bitboard version of Tetris AI

arXiv - AI · 4 min ·
[2603.26944] Neuro-Symbolic Learning for Predictive Process Monitoring via Two-Stage Logic Tensor Networks with Rule Pruning
Machine Learning

[2603.26944] Neuro-Symbolic Learning for Predictive Process Monitoring via Two-Stage Logic Tensor Networks with Rule Pruning

Abstract page for arXiv paper 2603.26944: Neuro-Symbolic Learning for Predictive Process Monitoring via Two-Stage Logic Tensor Networks w...

arXiv - AI · 4 min ·
[2603.18532] Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds
Llms

[2603.18532] Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds

Abstract page for arXiv paper 2603.18532: Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds

arXiv - Machine Learning · 4 min ·
[2603.12702] FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM Reasoning
Llms

[2603.12702] FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM Reasoning

Abstract page for arXiv paper 2603.12702: FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM Reasoning

arXiv - Machine Learning · 4 min ·
[2603.12681] Colluding LoRA: A Compositional Vulnerability in LLM Safety Alignment
Llms

[2603.12681] Colluding LoRA: A Compositional Vulnerability in LLM Safety Alignment

Abstract page for arXiv paper 2603.12681: Colluding LoRA: A Compositional Vulnerability in LLM Safety Alignment

arXiv - Machine Learning · 3 min ·
[2603.09645] Noise in Photonic Quantum Machine Learning: Models, Impacts, and Mitigation Strategies
Machine Learning

[2603.09645] Noise in Photonic Quantum Machine Learning: Models, Impacts, and Mitigation Strategies

Abstract page for arXiv paper 2603.09645: Noise in Photonic Quantum Machine Learning: Models, Impacts, and Mitigation Strategies

arXiv - Machine Learning · 4 min ·
[2602.08961] MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE
Nlp

[2602.08961] MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE

Abstract page for arXiv paper 2602.08961: MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE

arXiv - Machine Learning · 4 min ·