works on

From the 1 of 10 linked papers with an AI index.

collaborators

10 papers

cs.AI2026

Divergence Decoding: Training-Free Capability Fusion

Yimi Wang, Hao Li, Shuo Yang +6

The paper proposes Divergence Decoding, a training‑free method that dynamically routes token generation between a generalist LLM and a domain‑specialist LLM using Jensen‑Shannon di…

cs.AI2026

AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security

Dongrui Liu, Yu Li, Zhonghao Yang +47

Modern open-world agents such as OpenClaw exhibit powerful cross-environment execution capabilities yet introduce broad new safety risk sources. Meanwhile, advanced frontier AI mod…

cond-mat.mes-hall2026

Qumus: Realization of An Embodied AI Quantum Material Experimentalist

Lihan Shi, Zhaoyi Joy Zheng, Xinzhe Juan +14

While modern Large Language Models (LLMs) and agentic artificial intelligence (AI) have demonstrated transformative capabilities in digital domains, the realization of embodied AI…

q-bio.BM2026

MoleCode unlocks structural intelligence in large language models

Zhiyuan Yan, Chen Liu, Boxuan Zhao +8

Molecules are graphs, but large language models~(LLMs) are usually asked to reason about them through linear strings. The most popular molecular representation, SMILES, compresses…

cs.CL2026

Learning Agent Routing From Early Experience

Yimin Wang, Jiahao Qiu, Xuan Qi +6

LLM agents achieve strong performance on complex reasoning tasks but incur high latency and compute cost. In practice, many queries fall within the capability boundary of cutting-e…

cs.AI2025

Alita-G: Self-Evolving Generative Agent for Agent Generation

Jiahao Qiu, Xuan Qi, Hongru Wang +9

Large language models (LLMs) have been shown to perform better when scaffolded into agents with memory, tools, and feedback. Beyond this, self-evolving agents have emerged, but cur…