Dynamic Harness Search: Building Multi-Agent Systems Per-Query via Prediction

SHIFT predicts harness utility via a local LLM to search multi-agent structures per query, achieving ~80% mean accuracy across benchmarks while reducing execution tokens by 32%.

Som Sagar, Shasha Li, Hejie Cui, Ransalu Senanayake and 1 more

Published Oct 2, 2026 · ▲ 10 on Hugging Face

Science Utopia? Closed-Loop LLM Simulation of Academic Research Ecosystems

SciUtopia is a closed-loop LLM simulation framework modeling entire academic ecosystems; it finds resubmission amplifies reviewer burden, cautious exploration balances impact and diversity, and inequality can emerge without cumulative funding advantage.

Yiqiao Jin, Yiyang Wang, Lucheng Fu, Bing He and 7 more

Published Oct 1, 2026 · 0 citations · ▲ 40 on Hugging Face · Code ★ 29

Understanding Issues, Causes and Solutions in Open-Source LLM-based Multi-Agent Systems

Open-source LLM multi-agent systems face orchestration and execution issues mostly caused by workflow, tool integration, and memory problems, primarily solved by workflow optimization.

Asad Ur Rehman, Syed Mohammad Kashif, Ruiyin Li, Peng Liang and 2 more

Published Oct 1, 2026 · 0 citations

Auditing Action Settlement in LLM Agent Environments: Order, Progress, and Replay

A typed settlement contract audits concurrent LLM agent actions, showing joint policies complete 59% more six-agent doorway tasks than conservative rejection, with exact replay of 156 checkpoints and rejection of 1,332 corruptions.

Haotian Chen, Bowen Ye, Yuning Zhang, Jingkun Yu

Published Oct 1, 2026 · 0 citations

Raven: The Harness of Harnesses for Composable Agentic Intelligence

Raven autonomously constructs modular agent harnesses and orchestrates them across domains via a multi-agent ecosystem, significantly outperforming state-of-the-art systems on complex long-horizon tasks.

EverMind AI

Published Sep 27, 2026 · 0 citations · ▲ 566 on Hugging Face · Code ★ 5,252

Receiver-Conditioned Latent Communication gives 94% CacheBack

CacheBack uses receiver-conditioned filtering of sender KV caches via attention weights to cut transferred state by 75%, boosting multi-agent accuracy by 14.7 points and reducing latency 3.2x versus text.

Maximillian Rossi, Prajwal Raghunath, Haoqing Xuan, Yusen Zhang and 1 more

Published Sep 25, 2026 · 0 citations · ▲ 11 on Hugging Face · Code ★ 6

ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration

ARIS is an open-source autonomous research harness using cross-model adversarial collaboration to coordinate ML workflows and verify experimental claims.

Ruofeng Yang, Yongcan Li, Shuai Li

Published May 4, 2026 · 1 citation · ▲ 154 on Hugging Face · Code ★ 17,091

Recursive Multi-Agent Systems

RecursiveMAS scales multi-agent collaboration through recursive latent-space computation via RecursiveLink and inner-outer loop co-optimization, improving accuracy by 8.3% with 1.2-2.4x speedup and 34.6%-75.6% token reduction over baselines.

Jiaru Zou, Rui Pan, Ruizhong Qiu, Pan Lu and 7 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published Apr 28, 2026 · 0 citations · ▲ 239 on Hugging Face · Code ★ 961

Kimi K2.5: Visual Agentic Intelligence

Kimi K2.5 is an open-source multimodal agentic model using joint text-vision optimization and Agent Swarm to achieve state-of-the-art agentic, coding, vision, and reasoning results with up to 4.5x lower latency.

Kimi Team, Tongtong Bai, Yifan Bai, Yiping Bao and 36 more

Published Feb 2, 2026 · 2 citations · ▲ 277 on Hugging Face · Code ★ 2,313

PaperBanana: Automating Academic Illustration for AI Scientists

PaperBanana automates publication-ready academic illustrations via agentic VLM and image generation, outperforming baselines on a 292-case benchmark.

Dawei Zhu, Meng, Rui, Yale Song, Xiyu Wei and 3 more

Published Jan 30, 2026 · 1 citation · ▲ 230 on Hugging Face · Code ★ 7,132

TradingAgents: Multi-Agents LLM Financial Trading Framework

TradingAgents proposes a multi-agent LLM framework with specialized trading roles and collaborative dynamics, outperforming baselines on cumulative returns, Sharpe ratio, and drawdown.

Xiao, Yijia, Edward W. Sun, Luo, Di, Wei Wang

Published Dec 28, 2024 · 6 citations · ▲ 150 on Hugging Face · Code ★ 110,044

Very Large-Scale Multi-Agent Simulation in AgentScope

AgentScope introduces actor-based distributed infrastructure, flexible environments, and automated agent generation to enable scalable, efficient multi-agent simulations.

Xuchen Pan, Gao, Dawei, Yuexiang Xie, Chen, Yushuo and 5 more

Published Jul 25, 2024 · 1 citation · ▲ 47 on Hugging Face · Code ★ 32,834

SkillOrchestra: Learning to Route Agents via Skill Transfer

Jiayu Wang, Yifei Ming, Zixuan Ke, Shafiq Joty and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Open-Ended Scientific Discovery and the Social Dynamics of Evolving Agent Networks

Tennison Liu, Silas Ruhrberg Estévez, Rob Davis, Ryan M Sheridan and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Risk-Calibrated Context Selection for Healthcare Multi-Agent Handoff

Manu Agrawal, Sumit Mukherjee

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

Social Interaction Breaks Replicate Independence in Controlled-Clone LLM Agents

Yandan Zheng, Haoran Luo, Anh Tuan Luu

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Belief Engine: Configurable Stance Dynamics for Multi-Agent LLM Deliberation

Joshua C Yang, Maurice Flechtner, Damian Dailisan, Michiel Bakker

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

TritonTune: LLM-Guided Multi-Agent Optimization of GPU Kernel Configurations

Shukai Duan, Mihai Capotă, Guixiang Ma, Hou-Jen Ko and 4 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

UMAS: System-Level Uncertainty Quantification for Multi-Agent LLM Systems

Hanwen Li, Jinhao Duan, Xiaoshuang Shi, Yue Zhang and 3 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

Qubrio: High-Performance Quantum Compilation via Multi-Agent LLM Collaboration

Jixuan Ruan, Zhuo Cui, Zhengding Hu, Zhongkai Yu and 9 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

Multi-Agent Coordination via Support-Preserving Distillation

Sangmin Lee, Youngju Na, Chanmi Lee, Sung-eui Yoon

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Veri-Sure: Multi-Agent RTL Code Generation with Temporal Tracing, Slicing and Formal Verification

Jiale Liu, Taiyu Zhou, Tianqi Jiang

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

OrchestraRL: Learning to Orchestrate LLM Agent Swarms with Entropy-Aware Communication Control

Runze Fan, Shiyi Jiang, Junsheng Wang, Shuangjun Xie and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Optimize Once, Execute Fast: Latency-Aware Multi-Agent Workflow Learning for Recurrent Queries

Enpei Zhang, Feiyu Qu, Zheng Huang, Dawei Zhou and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Behavioral Probes for Information Flow in LLM Swarms

Junhui Chen, Yu Zhang, Lantian Li, Dong Wang

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

SCHOLARPEER: A Multi-Agent Framework for Automated Peer Review

Palash Goyal, Mihir Parmar, Yiwen Song, Hamid Palangi and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Integrating Strengths of Different Multi-Agent Workflows via Step-Aware Hybrid Topology Planning

Jingxuan Yu, Ju Jia, Yiqian Chen, Yuchong Chen and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

SMART: Scalable Multi-Agent Role-conditioned Teaming via LLM-free Tree Search

Runzhe Zhang, Ning Li, Xingshan Zeng, Letian Chen and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

When Debate Helps: Proposal Supply and Verification-Aware Readout in Multi-Agent Reasoning

Zihao Zhao, Tunyu Zhang, Haizhou Shi, Yusong Zhao and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Sequential Probabilistic Uncertainty Estimation for Parallel Multi-Agent Reasoning Systems

Tunyu Zhang, Zihao Zhao, Yusong Zhao, Haizhou Shi and 4 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

EvoInspect: A Unified Self-Evolving Multi-Agent Framework for Industrial Hardware Inspection

Zhuyun Yuan, Jiming Zhang, Haoyuan Sun, Jun Yin and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Youdunit: Single-Call Counterfactual Necessity in Multi-Agent LLM Systems

Marissa Li, Stephanie Gao, Kenny Guo, Xingjian Li and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

Mental-Models for Multi-Agent Systems

Hanan Gani, Lulu Shao, Manmohan Chandraker

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

MASTA: A Feedback-Scheduled Multi-Agent System for End-to-End Tamarin Protocol Modeling and Analysis

Yongkang Xiao, Qiyi Deng, Jing Chen, Min Shi and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

MaRiO: Multi-agent Collaborative Reasoning via Shared Observations in MLLMs

Nathaniel Redmond, Fidel Omar Tito Cruz, Devansh Sharma, Shehreen Azad and 3 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

STAR-Math: Multi-Agent Mathematical Reasoning under Persistent Meta-Strategic Supervision

Jiaao Wu, Xian Zhang, Hanzhang Liu, Sophia Zhang and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Inter-Agent Influence: Evaluating Persuasion, Deception and Coercion in Multi-Agent Systems

Chandler Smith, Cecilia E Tilli, Qi Guo, Sophia Hatz and 5 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Unified Resource-Grounded Coordination Protocol for Orchestrator-Free Heterogeneous Multi-Agent Systems

Vishal Pramanik, Maisha Maliha, Olivera Kotevska, Arvind Ramanathan and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Spend Only What You Need: Defect-Aware Residual Coverage for Efficient Multi-Agent Reasoning

Maisha Maliha, Dean F Hougen

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

CacheMAS: Cache Communication for Single-Pass, Jointly-Optimized Multi-Agent Systems

Chao Ouyang, Yuyang Bai, Jun Zhang, Tianlu Gao and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Complex Optimization Modeling via Multiagent Fine-Tuning and Skill-Augmented Reasoning

Yu Ding, Jiajun Li, Ran Hou, Jiahui Duan and 6 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Effective Knowledge Conflict Detection via Joint Agentic Optimization

Yi Hong, Wenchao Bai, Jiaqi Jiang, Siyuan Huang and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

FlowLeak: Coverage-Guided Extraction of Dynamic Workflows in LLM-Based Multi-Agent Systems

Zhiyao Ren, Siyuan Liang, Yibing Zhan, Jun L Tan and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

WURI: Watching Unfolding Risk in Agent Interactions

Yiyang Duan, Tiantong Wu, Yurong Hao, Wei Yang Bryan Lim

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Who Should Evolve? Uncertainty-Aware Role Bottleneck Inference for Multi-Agent LLM Training

Qiyu Qin, Yichen Li, Haozhao Wang, Tianzhe Xiao and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

The Reflexivity Threshold: A Phase Transition for Multi-Agent Performative Prediction

Ahmed Mahrous, Roberto Di Pietro

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

LocalAgent: Collaborative Agentic Verification for Fine-Grained Instance-Level Consistency

jiachen Guo, Xinshan Zhu, Boyun Wang, Yanyan Liang and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Zero-Shot Coordination among LLM Agents

Adrian Hayler, Shashank Reddy Chirra, Andrei Lupu, Johannes Forkel and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

When the Most Disruptive Messages Are Safe to Prune in Aggregate: Functional Analysis of Communication Pruning in Two-Agent LLM Systems

Zhen Sun, Xueyang Zhou, Yongchao Chen

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

From Chats to Markets: AgenticPay for LLM-Powered Negotiation in Multi-Agent Commerce

Xianyang Liu, Shangding Gu, Fan Xu, Manxi Wu and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Ad-Hoc Teamwork from Human Demonstrations

Darius Muglich, Niklas Lauffer, Tin Dizdarević, Jakob Foerster

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

The Era of Agentic Organization: Learning to Organize with Language Models

Zewen Chi, Li Dong, Qingxiu Dong, Yaru Hao and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Who, Where, and What? Forensic Localization in LLM-Based Multi-Agent Systems

ANJUN GAO, Yueyang Quan, Yufei Xia, Zhuqing Liu and 1 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

Evolving Agent Teams

Shiyi Cao, Ziming Mao, Dacheng Li, Joseph Gonzalez and 1 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

Online Learning of Group-Stable Coalition Structures

Saar Cohen, Michael Wooldridge

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

Learning When to Collaborate: Selective Multi-Agent Medical Reasoning via Uncertainty-Aware Routing

Jiacheng Hou, Xueliang Cui, Dan Lu, Ruxin Wang

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Market-Based Runtime Resource Allocation for LLM Multi-Agent Systems

Yixue Huang, Mingxin Wang, Hao Li, Hao Jiang

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

Overcoming Attention Distraction: Training-Free Latent Communication for Multi-Agent Systems

zhengjie zhou, Yahao Liu, Ziyue Feng, Tengfei LIU and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Towards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflows

Parallel-Synthesis lets LLM synthesizers consume parallel agents' KV caches directly via a cache mapper and adapter, matching text synthesis on seven of nine benchmarks while cutting time-to-first-token by 2.5x-11x.

Shikun Liu, Mufei Li, Dongqi Fu, Haoyu Wang and 4 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

EVOCHAMBER: Test-Time Co-evolution of Multi-Agent System at Individual, Team, and Population Scales

EVOCHAMBER enables training-free multi-agent test-time co-evolution across individual, team, and population scales via asymmetric cross-agent knowledge transfer, achieving up to 32% relative math gains and emergent specialization.

Yaolun Zhang, Tianyi Xu, Shengyu Dai, Zhenwen Shao and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 10 on Hugging Face · Code ★ 4

AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent

AgentArk distills multi-agent reasoning into a single LLM via hierarchical strategies, achieving multi-agent performance with single-agent efficiency.

Yinyi Luo, Yiqiao Jin, Weichen Yu, Mengqi Zhang and 5 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face · Code ★ 216

AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems

AgentForesight introduces online trajectory auditing that predicts multi-agent failures during execution, with a 7B model outperforming GPT-4.1 and DeepSeek-V4-Pro by up to 19.9% with 3x lower step error.

Boxuan Zhang, Jianing Zhu, Zeru Shi, Dongfang Liu and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 7 on Hugging Face · Code ★ 19

Benchmarking Open-Ended Multi-Agent Coordination in Language Agents

Alem benchmarks open-ended multi-agent coordination for language agents, showing frontier LLMs average ~6% returns and individual competence does not imply coordination competence.

Kale-ab Tessera, Andras Szecsenyi, Cameron Barker, Alexander Rutherford and 6 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 7 on Hugging Face · Code ★ 51

VerifyMAS: Hypothesis Verification for Failure Attribution in LLM Multi-Agent Systems

VerifyMAS verifies failure hypotheses over full LLM multi-agent trajectories to attribute errors globally and cut combinatorial search.

Hezhe Qiao, Hanghang Tong, Ee-peng Lim, Bing Liu and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

Market Regime Council for Dynamic Credit Assignment in Multi-Agent LLM Decision Systems

Market Regime Council assigns Shapley-based credits across multi-agent LLM coalitions with regime-aware weighting, achieving a 1.51 Sharpe ratio and 440.1% cumulative return over 1,037 trading days.

Yunhua Pei, Zerui Ge, Jin Zheng, John Cartlidge

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions

A decentralized agent economy using auctions and economic selection emerges multi-step reasoning and outperforms monolithic baselines without centralized coordination.

Zhenting Qi, Ao Qu, Huangyuan Su, Chenyu Wang and 12 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 10 on Hugging Face · Code ★ 59

When Parallelism Pays Off: Cohesion-Aware Task Partitioning for Multi-Agent Coding

Co-Coder formalizes multi-agent coding as graph partitioning to balance parallel speedups against communication overhead, improving pass rates by 14% and cutting costs 35% on dense repositories.

Xu Yang, Lunyiu Nie, Ethan Chandra, Stanislav Gannutin and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

ExComm: Exploration-Stage Communication for Error-Resilient Agentic Test-Time Scaling

ExComm detects cross-agent factual conflicts during exploration to correct errors via soft belief updates and trajectory diversification, improving test-time scaling by up to 5.7%.

Woomin Song, Beomjun Kim, Daewon Choi, Sai Muralidhar Jayanthi and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation

AutoScientists is a decentralized AI team that self-organizes around promising hypotheses, critiques proposals, and shares failures to improve long-running scientific experiments across biomedical, language model, and protein tasks.

Shanghua Gao, Ada Fang, Marinka Zitnik

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 9 on Hugging Face

Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math Reasoning

Mathematical reviewer precision does not ensure critique uptake in multi-agent reasoning, and peer discussion outperforms hierarchical reviewer pipelines on hard problems despite lower reviewer accuracy.

Chih-Hsuan Yang, Jingyan Jiang, Vikram Vasudevan, Cheng-Hau Yang and 7 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs

LATTE coordinates LLM teams via shared evolving task graphs that reduce tokens, time, and conflicts while matching or exceeding baseline accuracy.

Elizabeth Mieczkowski, Alexander Ku, Tiwalayo Eisape, Dilip Arumugam and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · Code ★ 6

AgentCollabBench: Diagnosing When Good Agents Make Bad Collaborators

AgentCollabBench introduces 900 diagnostic tasks showing multi-agent collaboration failures stem from topology, not just model capability. Communication topology explains 7-40% of variance as converging nodes discard minority-branch constraints.

Aritra Mazumder, Shubhashis Roy Dipta, Nusrat Jahan Lia, Tanzila Khan and 9 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

FlowMAS: Learning Multi-Agent Workflow Topology via Information-guided Generative Flow Network

FlowMAS learns multi-agent workflow topologies via reward-guided GFlowNets with structure-aware exploration and information-guided evaluation to outperform baselines.

Haitao Wang, Chenjing Liang, Haipeng Zhang, Jiawei Hu and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

CoMMa: Contribution-Aware Medical Multi-Agents for Decentralized Oncology Decision Support

CoMMa is a decentralized multi-agent oncology framework using partitioned data, specialized fine-tuning, and deterministic contribution-aware aggregation to enable interpretable, privacy-preserving decision support across diverse clinical settings.

Yichen WU, Yujin Oh, Sangjoon Park, Kailong Fan and 9 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

Population-Aligned Persona Generation for LLM-based Social Simulation

A framework generates population-aligned personas from social media via quality filtering, importance sampling, and task-specific adaptation, reducing bias in LLM social simulations.

Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Max Xiong and 9 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

FlowBank: Query-Adaptive Agentic Workflows Optimization through Precompute-and-Reuse

FlowBank optimizes LLM agent workflows via a precomputed diverse portfolio selected per query, outperforming baselines by up to 14.92% at competitive cost.

Lingzhi Yuan, Chenghao Deng, Fangxu Yu, Souradip Chakraborty and 2 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 2 on Hugging Face

Beyond LLM-Based Reasoning: Lightweight GNNs for Agent Failure Attribution

AFANet uses lightweight GNNs to attribute multi-agent failures via interaction graphs, matching LLM baselines with far lower cost and enabling test-time adaptation.

Ting-Wei Li, Yuanchen Bei, Xiao Lin, Hanghang Tong

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

Agent2World: Learning to Generate Symbolic World Models via Adaptive Multi-Agent Feedback

Agent2World uses adaptive multi-agent feedback to generate symbolic world models, achieving state-of-the-art inference and 30.95% fine-tuning gains.

Mengkang Hu, Bowei Xia, Yuran Wu, Ailing Yu and 8 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face · Code ★ 26

LLM-Based Multi-Agent Blackboard System for Information Discovery in Data Science

A blackboard multi-agent framework lets autonomous agents volunteer for data-discovery tasks, boosting end-to-end success by 13%-57% over rigid master-slave baselines.

Alireza Salemi, Mihir Parmar, Palash Goyal, Yiwen Song and 4 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

Norm Enforcement for AI Agents: Robustly Shaping Behavior in Multi-Agent Systems

Simple norm enforcement for AI agents is exploited for competitive gain, but mechanisms tracking reliability with escalating penalties resist exploitation across multi-agent environments.

Yaowen Ye, Jacob Steinhardt

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

The Illusion of Multi-Agent Advantage

Automatic multi-agent systems consistently underperform single-agent chain-of-thought self-consistency despite up to 10x cost, revealing automated architectures suffer from bloat and misaligned complexity rather than true multi-agent benefits.

Prathyusha Jwalapuram, Hehai Lin, Chuyuan Li, Fangkai Jiao and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

DAGent: Evaluate-then-Grow Planning for Deep Research Agents

DAGent enables evaluate-then-grow DAG planning for deep-research agents, improving benchmarks by 2, 6 points over plan-then-patch baselines with lower token cost.

Hanwen Liu, Yuanfu Sun, Qiaoyu Tan

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 4 on Hugging Face · Code ★ 2

Decentralized Ranking Aggregation via Gossip: Convergence and Robustness

Gossip algorithms enable decentralized ranking aggregation via local peer interactions, yielding global consensus without central authority despite corrupted nodes and distributed preferences.

Kerrian Le Caillec, Anna van Elst, Igor Colin, Stephan Clémençon

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

RuleSmith: Multi-Agent LLMs for Automated Game Balancing

RuleSmith uses multi-agent LLM self-play and Bayesian optimization to automatically balance complex games and find highly balanced rule configurations.

Ziyao Zeng, Hao Wang, Chen Liu, Youheng Yao and 10 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

Reward Modeling for Multi-Agent Orchestration

OrchRM uses self-supervised orchestration-level reward modeling to train multi-agent orchestrators, cutting token usage by 10x and boosting accuracy up to 8%.

King Yeung Tsang, Zihao Zhao, Vishal Venkataramani, Haizhou Shi and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Learning Latency-Aware Orchestration for Multi-Agent Systems

LAMaS learns latency-aware orchestration for multi-agent systems via critical-path-aware credit assignment and adaptive runtime pruning, cutting latency over 50% while preserving accuracy.

Xi Shi, Mengxin Zheng, Qian Lou

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

Multi-agent Collaboration with State Management

STORM mediates multi-agent shared workspace edits to detect and resolve conflicts at write time, outperforming isolated worktree baselines on Commit0 and PaperBench.

Mengyang Liu, Taozhi Chen, Zhenhua Xu, Xue Jiang and 1 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026