1 citations · 2 across the 11 of their papers we have counts for
7 papers · 1 filter
Copies or Sources? Measuring How LLM Aggregators Count Restated Evidence in Multi-Agent Systems
Jianxin Gao, Runze Li, Tianyi Yu +3
Multi-agent systems built on large language models (LLMs) restate observations as a matter of course: relays forward them, shared boards repeat them and discussion rounds echo them…
Interchangeable in Role, Not in History: Replacing Members of Formed LLM Teams
Jianxin Gao, Tianyi Yu, Linna Deng +4
Multiagent LLM systems often treat a role as a slot: when a member is replaced, any agent competent at the role is expected to fill it. We test this view on teams whose members kee…
MirrorCraft: Paired Evaluation under Hidden Rule Changes in Minecraft
Jianxin Gao, Beini Hu, Runze Li +7
With the rapid progress of large language models (LLMs), an interesting question has emerged: how do LLM-based agents perform in Minecraft? To date, most Minecraft benchmarks evalu…
EvoFlux: Inference-Time Evolution of Executable Tool Workflows for Compact Agents
Kushal Raj Bhandari, Ling Yue, Ching-Yun Ko +4
Small language models (1.5B-4B parameters) offer low-cost, low-latency tool use but often produce plausible plans that fail during execution due to unavailable tools, missing argum…
From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents
Ling Yue, Kushal Raj Bhandari, Ching-Yun Ko +6
Large language model (LLM)-based systems are becoming increasingly popular for solving tasks by constructing executable workflows that interleave LLM calls, information retrieval,…
Unraveling the cognitive patterns of Large Language Models through module communities
Kushal Raj Bhandari, Pin-Yu Chen, Jianxi Gao
Large Language Models (LLMs) have reshaped our world with significant advancements in science, engineering, and society through applications ranging from scientific discoveries and…
Forecasting Open-Weight AI Model Growth on HuggingFace
Kushal Raj Bhandari, Pin-Yu Chen, Jianxi Gao
As the open-weight AI landscape continues to proliferate-with model development, significant investment, and user interest-it becomes increasingly important to predict which models…