OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data
Paper • 2603.15594 • Published • 132
Yury Panikov
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EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings commentedon a paper about 13 hours ago
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papers about 14 hours ago
Efficient Document Parsing via Parallel Token Prediction
Paper • 2603.15206 • Published • 3
Spectrum Matching: a Unified Perspective for Superior Diffusability in Latent Diffusion
Paper • 2603.14645 • Published • 4
SCoCCA: Multi-modal Sparse Concept Decomposition via Canonical Correlation Analysis
Paper • 2603.13884 • Published • 2
Garments2Look: A Multi-Reference Dataset for High-Fidelity Outfit-Level Virtual Try-On with Clothing and Accessories
Paper • 2603.14153 • Published • 2
MoKus: Leveraging Cross-Modal Knowledge Transfer for Knowledge-Aware Concept Customization
Paper • 2603.12743 • Published • 3
EvoClaw: Evaluating AI Agents on Continuous Software Evolution
Paper • 2603.13428 • Published • 3
upvoted 13
papers about 17 hours ago
Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange
Paper • 2603.14312 • Published • 3
Mind the Shift: Decoding Monetary Policy Stance from FOMC Statements with Large Language Models
Paper • 2603.14313 • Published • 3
Motivation in Large Language Models
Paper • 2603.14347 • Published • 7
OxyGen: Unified KV Cache Management for Vision-Language-Action Models under Multi-Task Parallelism
Paper • 2603.14371 • Published • 3
VisionCoach: Reinforcing Grounded Video Reasoning via Visual-Perception Prompting
Paper • 2603.14659 • Published • 5
When Does Sparsity Mitigate the Curse of Depth in LLMs
Paper • 2603.15389 • Published • 4
HorizonMath: Measuring AI Progress Toward Mathematical Discovery with Automatic Verification
Paper • 2603.15617 • Published • 4
RS-WorldModel: a Unified Model for Remote Sensing Understanding and Future Sense Forecasting
Paper • 2603.14941 • Published • 7
Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models
Paper • 2603.13985 • Published • 9
Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning
Paper • 2603.15611 • Published • 9
FineRMoE: Dimension Expansion for Finer-Grained Expert with Its Upcycling Approach
Paper • 2603.13364 • Published • 9
TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning
Paper • 2603.12529 • Published • 16
Understanding Reasoning in LLMs through Strategic Information Allocation under Uncertainty
Paper • 2603.15500 • Published • 11