works on

From the 1 of 5 linked papers with an AI index.

activity
20242026
collaborators

5 papers

cs.CL2026

PILA: Plug-and-Play Insertion for LLM-native Advertising

Zhaowei Zhang, Yuhan Fu, Yihang Zhang +6

The paper introduces PILA, a plug‑and‑play sidecar that rewrites LLM responses to insert sponsored content, allowing ad placement without modifying the underlying language model.

cs.SE2026

Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM Agents

Xiang Liu, Sa Song, Zhaowei Zhang +6

Consensus protocols form the backbone of distributed systems and blockchains, where implementation bugs can cause data corruption and financial losses. While LLM-based approaches s…

physics.optics2025

LLM4Laser: Large Language Models Automate the Design of Lasers

Renjie Li, Ceyao Zhang, Sixuan Mao +4

With the rapid evolution of global autonomous driving technology, the demand for its core sensing hardware, Light Detection and Ranging (LiDAR), is escalating. As the light source…

cs.AI2024

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Sirui Hong, Mingchen Zhuge, Jiaqi Chen +12

Remarkable progress has been made on automated problem solving through societies of agents based on large language models (LLMs). Existing LLM-based multi-agent systems can already…

cs.LG2024

OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents

Zihao Wang, Shaofei Cai, Zhancun Mu +7

This paper presents OmniJARVIS, a novel Vision-Language-Action (VLA) model for open-world instruction-following agents in Minecraft. Compared to prior works that either emit textua…