![[2606.03461] What Makes Interaction Trajectories Effective for Training Terminal Agents?](/static/img/curated/desks/afbytes-tech.png)
[2606.03461] What Makes Interaction Trajectories Effective for Training Terminal Agents?
Abstract page for arXiv paper 2606.03461: What Makes Interaction Trajectories Effective for Training Terminal Agents?
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[2606.03462] Topology-Aware Gaussian Graph Repair for Robust Graph Neural Networks
Abstract page for arXiv paper 2606.03462: Topology-Aware Gaussian Graph Repair for Robust Graph Neural Networks
[2606.02780] Do Value Vectors in Deep Layers Need Context from the Residual Stream?
Abstract page for arXiv paper 2606.02780: Do Value Vectors in Deep Layers Need Context from the Residual Stream?
[2208.00967] Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification
Abstract page for arXiv paper 2208.00967: Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification
[2605.30848] LLM Anonymization Against Agentic Re-Identificatio
Abstract page for arXiv paper 2605.30848: LLM Anonymization Against Agentic Re-Identificatio
[2605.30851] How Much Parallelism Is "Free"? A Principle of Near-Free Parallelism for Parallel Decoding
Abstract page for arXiv paper 2605.30851: How Much Parallelism Is "Free"? A Principle of Near-Free Parallelism for Parallel Decoding
[2605.30852] Speculative Pipeline Decoding: Higher-Accruacy and Zero-Bubble Speculation via Pipeline Parallelism
Abstract page for arXiv paper 2605.30852: Speculative Pipeline Decoding: Higher-Accruacy and Zero-Bubble Speculation via Pipeline Parallelism
[2605.30855] Robust Dreamer: Deviation-Aware Latent Gaussian Memory for Action-Controlled AR Video Generation
Abstract page for arXiv paper 2605.30855: Robust Dreamer: Deviation-Aware Latent Gaussian Memory for Action-Controlled AR Video Generation
[2605.30857] MADS: Model-Aware Diverse Core Set Selection for Instruction Tuning
Abstract page for arXiv paper 2605.30857: MADS: Model-Aware Diverse Core Set Selection for Instruction Tuning
[2605.30858] ForecastCompass: Guiding Agentic Forecasting with Adaptive Factor Memory
Abstract page for arXiv paper 2605.30858: ForecastCompass: Guiding Agentic Forecasting with Adaptive Factor Memory
[2605.30863] DSD-GS: Dynamic-Static Decomposition of Gaussian Splatting for Efficient and High-Fidelity Dynamic Scene Reconstruction
Abstract page for arXiv paper 2605.30863: DSD-GS: Dynamic-Static Decomposition of Gaussian Splatting for Efficient and High-Fidelity Dynamic Scene Reconstructio...
[2605.30865] GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring
Abstract page for arXiv paper 2605.30865: GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring
[2605.30876] dMoE: dLLMs with Learnable Block Experts
Abstract page for arXiv paper 2605.30876: dMoE: dLLMs with Learnable Block Experts
JONAH GOLDBERG: Why Democrats need an ‘Operation Kibble’
The party needs more than just need a better ad campaign.
[2605.28920] Conf-Gen: Conformal Uncertainty Quantification for Generative Models
Abstract page for arXiv paper 2605.28920: Conf-Gen: Conformal Uncertainty Quantification for Generative Models
[2605.28806] Personal Visual Memory from Explicit and Implicit Evidence
Abstract page for arXiv paper 2605.28806: Personal Visual Memory from Explicit and Implicit Evidence
[2605.27580] You Are in Control of Your State: Why Human Outcomes Are Controllable Through Causal State Intervention
Abstract page for arXiv paper 2605.27580: You Are in Control of Your State: Why Human Outcomes Are Controllable Through Causal State Intervention
[2605.27582] Uni-LaViRA: Language-Vision-Robot Actions Translation for Unified Embodied Navigation
Abstract page for arXiv paper 2605.27582: Uni-LaViRA: Language-Vision-Robot Actions Translation for Unified Embodied Navigation
[2605.27586] You Only Align Once: Propagating Cooperative Behaviors in Multi-Agent Systems through Seed Agents
Abstract page for arXiv paper 2605.27586: You Only Align Once: Propagating Cooperative Behaviors in Multi-Agent Systems through Seed Agents