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

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5 papers

cs.AI2026

MANTA: Multi-Agent Network Topology Adaptation for Self-Evolving Multi-Agent Systems

Mao-xun Huang, Jerry Wang, Yi-Cheng Lai +3

The paper presents MANTA, a framework that lets large language model‑driven multi‑agent systems dynamically adjust their communication topology during inference, updating roles, li…

cs.CL2025

Efficient Beam Search for Large Language Models Using Trie-Based Decoding

Brian J Chan, MaoXun Huang, Jui-Hung Cheng +2

This work presents a novel trie (prefix-tree)-based parallel decoding method that addresses the memory inefficiency of batch-based beam search. By sharing a single KV cache across…

cs.CL2025

AR: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models

Cheng-Kai Yeh, Hsing-Wang Lee, Chung-Hung Kuo +1

Abstraction--the ability to recognize and distill essential computational patterns from complex problem statements--is a foundational skill in computer science, critical both for h…

cs.CV2025

SmartSpatial: Enhancing the 3D Spatial Arrangement Capabilities of Stable Diffusion Models and Introducing a Novel 3D Spatial Evaluation Framework

Mao Xun Huang, Brian J Chan, Hen-Hsen Huang

Stable Diffusion models have made remarkable strides in generating photorealistic images from text prompts but often falter when tasked with accurately representing complex spatial…

cs.CL2025

Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks

Brian J Chan, Chao-Ting Chen, Jui-Hung Cheng +1

Retrieval-augmented generation (RAG) has gained traction as a powerful approach for enhancing language models by integrating external knowledge sources. However, RAG introduces cha…