most citedTimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting

3 citations · 5 across the 8 of their papers we have counts for

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cs.CL2026

Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent

Lei Bai, Zongsheng Cao, Yang Chen +50

We introduce Agents-A1, a 35B Mixture-of-Experts Agentic Model that reaches trillion-parameter-level performance by scaling the agent horizon. We investigate agent-horizon scaling…

cs.CL2026

Select-then-Solve: Paradigm Routing as Inference-Time Optimization for LLM Agents

Heng Zhou, Zelin Tan, Zhemeng Zhang +15

When an LLM-based agent improves on a task, is the gain from the model itself or from the reasoning paradigm wrapped around it? We study this question by comparing six inference-ti…