OpenTSLM TeeMoE: A Unified Time-Series Language Model for Forecasting, Contextual Prediction, and Reasoning Paper • 2609.40265 • Published Sep 30 • 3
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts Paper • 2410.10469 • Published Oct 14, 2024 • 1
GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation Paper • 2410.10393 • Published Oct 14, 2024
SWE-AGILE: A Software Agent Framework for Efficiently Managing Dynamic Reasoning Context Paper • 2604.11716 • Published Apr 13 • 5
EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems Paper • 2510.13220 • Published Apr 17
EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Paper • 2606.13681 • Published Jun 11 • 143
Moirai 2.0: When Less Is More for Time Series Forecasting Paper • 2511.11698 • Published Nov 12, 2025 • 3
Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning Paper • 2601.09667 • Published Jan 14 • 89
Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs Paper • 2601.08763 • Published Jan 13 • 113
Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning Paper • 2601.09667 • Published Jan 14 • 89
Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning Paper • 2601.09667 • Published Jan 14 • 89
Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs Paper • 2601.08763 • Published Jan 13 • 113
Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models Paper • 2505.10554 • Published May 15, 2025 • 119
LongRecipe: Recipe for Efficient Long Context Generalization in Large Languge Models Paper • 2409.00509 • Published Aug 31, 2024 • 42