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20232026
most citedTowards Scientific Intelligence: A Survey of LLM-based Scientific Agents

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

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5 papers · 1 filter

cs.AI2026

Game-Creation-Agents: Autonomous Game Production

Tencent Multimodal RL Team, Xiangxin Zhou, Jiaqi Tang +15

Game-Creation-Agents (GCA) turns a natural-language request into a runnable Phaser 4 browser game. The pipeline first builds a multimodal game design document that couples mechanic…

cs.AI2026

SceneActBench: Can Agents Act on the 3D Scenes They See?

Yifei Zhao, Xiangxin Zhou, Wenhao Yang +11

Vision-language model (VLM) agents increasingly use tools to act on 3D scenes rather than only describe them. Existing 3D benchmarks score textual responses or single-object operat…

cs.AI2026

AMR-SD: Asymmetric Meta-Reflective Self-Distillation for Token-Level Credit Assignment

Zhenlin Wei, Pu Jian, Yingzhuo Deng +6

The alignment of Large Language Models (LLMs) for complex reasoning heavily relies on Reinforcement Learning with Verifiable Rewards (RLVR). However, standard algorithms like GRPO…

cs.AI2025

KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical Reasoning

Wei Sun, Wen Yang, Pu Jian +4

Recent advances have demonstrated that integrating reinforcement learning with rule-based rewards can significantly enhance the reasoning capabilities of large language models, eve…

cs.AI2025★ 6 cited

Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents

Shuo Ren, Can Xie, Pu Jian +3

As scientific research becomes increasingly complex, innovative tools are needed to manage vast data, facilitate interdisciplinary collaboration, and accelerate discovery. Large la…