activity
20232026
most citedSST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting

17 citations · 28 across the 16 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.LG2026

DrugReason: Dynamic Multi-View Reasoning over Knowledge Graph and Language Evidence for Drug Repurposing

Zijie Liu, Hongxuan Li, Zhen Tan +5

Drug repurposing aims to identify new therapeutic uses for existing compounds and, compared with de novo drug discovery, offers a faster and more cost-effective path to clinical tr…

cs.LG2026

EvoRubrics: Dynamic Rubrics as Rewards via Adversarial Co-Evolution for LLM Reinforcement Learning

Hongxin Ding, Baixiang Huang, Yue Fang +6

Rubric-based rewards offer interpretable and fine-grained optimization signals for reinforcement learning in open-ended tasks where verifiable answers are unavailable. However, pre…

cs.AI2026

Agents' Last Exam

Yiyou Sun, Xinyang Han, Weichen Zhang +378

Recent AI systems have achieved strong results on a wide range of benchmarks, yet these gains have not translated into economically meaningful deployment across many professional d…

cs.CL2026

A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents

Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang +56

Research in artificial intelligence is shifting from model innovations and benchmark scores towards problem definition and rigorous real-world evaluation. As the field enters the "…

cs.MA2026★ 2 cited

Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline

Jiawei Xu, Arief Koesdwiady, Sisong Bei +8

Recent advances in LLM-based multi-agent systems (MAS) show that workflows composed of multiple LLM agents with distinct roles, tools, and communication patterns can outperform sin…