84 citations · 410 across the 35 of their papers we have counts for
5 papers · 1 filter
Upstream Influence, Downstream Re-Anchoring in LLM Agent Chains
Chun-Yu Hsu, Lun-Wei Ku, Chung-Chi Chen
People act on evaluative judgments produced by LLM agents, and in multi-agent systems those judgments pass through several agents before reaching a person. We show that a workflow'…
SIGN-MAPPO: State-Intent-Aware Graph Multi-Agent Reinforcement Learning for Cooperative Driving under Imperfect V2X
Zide Fan, Jiahui Yuan, Kaixin Zhang +3
Cooperative driving at mixed-traffic unsignalized intersections is challenged by imperfect vehicle-to-everything (V2X) communication, human-driven vehicle (HV) intentions that cann…
Walk-on-Ambient-Patch: Solver-Adapted Isometric Embeddings for Projected Walk on Spheres
Yunfeng Liao, Xiucheng Li
Projected Walk on Spheres (PWoS) solves surface PDEs through ambient sampling and closest-point projection, but tightly folded embeddings can force short steps or ambiguous project…
Positional Cognitive Specialization: Where Do LLMs Learn To Comprehend and Speak Your Language?
Luis Frentzen Salim, Lun-Wei Ku, Hsing-Kuo Kenneth Pao
Adapting large language models (LLMs) to new languages is an expensive and opaque process. Understanding how language models acquire new languages and multilingual abilities is key…
Beyond Many-Shot Translation: Scaling In-Context Demonstrations For Low-Resource Machine Translation
Luis Frentzen Salim, Esteban Carlin, Alexandre Morinvil +2
Building machine translation (MT) systems for low-resource languages is notably difficult due to the scarcity of high-quality data. Although Large Language Models (LLMs) have impro…