Added MASEval library to list

README.md

@@ -45,21 +45,18 @@
   <em>A compilation of the best multi-agent papers</em>
 </p>
 
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-
-
 This is an awesome list of the best multi-agent research papers compiled by the [Swarms](https://github.com/kyegomez/swarms) Team. Our mission at Swarms is to research multi-agent systems. [Join our Discord Now!](https://discord.gg/EamjgSaEQf)
 
 ---
 
 ## Format
 
-- [Paper Name] [Description] [Link] 
-
-----
+- [Paper Name] [Description] [Link]
 
+---
 
 ## Multi-Agent Collaboration & System Design
+
 - **[Thought Communication in Multiagent Collaboration](https://arxiv.org/pdf/2510.20733)**
 - **[MAS-Zero: Designing Multi-Agent Systems with Zero Supervision](https://mas-design.github.io/)**
 - **[K-Level Reasoning with Large Language Models](https://arxiv.org/pdf/2402.01521)**
@@ -112,6 +109,7 @@ This is an awesome list of the best multi-agent research papers compiled by the
 
 ## Multi-Agent Frameworks & Benchmarks
 
+- **[MASEval: Extending Multi-Agent Evaluation from Models to Systems (Python Multi-Agent Eval Library)](https://github.com/parameterlab/MASEval)** ([Documentation](https://maseval.readthedocs.io/en/stable/),[PyPI](https://pypi.org/project/maseval/), [Paper](https://arxiv.org/abs/2603.08835), [Code](https://github.com/parameterlab/MASEval))
 - **[MALLM: Multi-Agent Large Language Models Framework](https://arxiv.org/abs/2509.11656)**
 - **[AgentGym: Evolving Large Language Model-based Agents across Diverse Environments](https://huggingface.co/papers/2406.04151)**
 - **[Very Large-Scale Multi-Agent Simulation in AgentScope](https://arxiv.org/abs/2407.17789)**
@@ -134,6 +132,7 @@ This is an awesome list of the best multi-agent research papers compiled by the
 ## Application-Specific Multi-Agent Systems
 
 ### Software Engineering
+
 - **[Automated Unit Test Improvement using Large Language Models](https://arxiv.org/pdf/2402.09171.pdf)**
 - **[Experiential Co-Learning of Software-Developing Agents](https://arxiv.org/abs/2312.17025)**
 - **[ChatDev: Communicative Agents for Software Development](https://arxiv.org/pdf/2307.07924.pdf)**
@@ -153,9 +152,10 @@ This is an awesome list of the best multi-agent research papers compiled by the
 - **[Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization](https://api.semanticscholar.org/CorpusId:268231438)**
 - **[Agents4PLC: Automating Closed-loop PLC Code Generation and Verification in Industrial Control Systems using LLM-based Agents](https://api.semanticscholar.org/CorpusId:273482697)**
 - **[Scaling long-running autonomous coding](https://cursor.com/blog/scaling-agents)** A blog by Cursor
-- **[Towards self-driving codebases](https://cursor.com/blog/self-driving-codebases)** By Cursor 
+- **[Towards self-driving codebases](https://cursor.com/blog/self-driving-codebases)** By Cursor
 
 ### Healthcare & Medical
+
 - **[Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents](https://arxiv.org/abs/2405.02957)**
 - **[MEDCO: Medical Education Copilots Based on A Multi-Agent Framework](https://arxiv.org/pdf/2408.12496)**
 - **[Multi Agent based Medical Assistant for Edge Devices](https://arxiv.org/pdf/2503.05397)**
@@ -170,6 +170,7 @@ This is an awesome list of the best multi-agent research papers compiled by the
 - **[SciAgent: A Unified Multi-Agent System for Generalistic Scientific Reasoning](https://arxiv.org/pdf/2511.08151)**
 
 ### Data & ML
+
 - **[LAMBDA: A Large Model Based Data Agent](https://arxiv.org/abs/2407.17535)**
 - **[Agentic Retrieval-Augmented Generation for Time Series Analysis](https://arxiv.org/abs/2408.14484)**
 - **[Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining](https://huggingface.co/papers/2410.08102)**
@@ -178,9 +179,11 @@ This is an awesome list of the best multi-agent research papers compiled by the
 - **[DataLab: A Unified Platform for LLM-Powered Business Intelligence](https://arxiv.org/abs/2412.02205)**
 
 ### Security
+
 - **[BreachSeek: A Multi-Agent Automated Penetration Tester](https://arxiv.org/abs/2409.03789)**
 
 ### Multimodal
+
 - **[Mora: Enabling Generalist Video Generation via A Multi-Agent Framework](https://arxiv.org/pdf/2403.13248)**
 - **[Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation](https://huggingface.co/papers/2406.01014)**
 - **[Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks](https://arxiv.org/abs/2408.03615)**
@@ -195,6 +198,7 @@ This is an awesome list of the best multi-agent research papers compiled by the
 - **[LongVideoAgent: Multi-Agent Reasoning with Long Videos](https://huggingface.co/papers/2512.20618)**
 
 ### Other Domains
+
 - **[Human-level play in Diplomacy by combining language models with strategic reasoning](https://www.science.org/doi/10.1126/science.ade9097)**
 - **[CulturePark: Boosting Cross-cultural Understanding in Large Language Models](https://arxiv.org/abs/2405.15145)**
 - **[Beyond Human Translation: Multi-Agent Collaboration for Translating Ultra-Long Literary Texts](https://arxiv.org/abs/2405.11804)**
@@ -352,7 +356,6 @@ This is an awesome list of the best multi-agent research papers compiled by the
 - **[TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets](https://arxiv.org/abs/2502.01506)**
 - **[HedgeAgents: A Balanced-aware Multi-agent Financial Trading System](https://arxiv.org/abs/2502.13165)**
 
-
 ## Agents for Research
 
 - **[Towards Collaborative Autonomous Research](https://agentrxiv.github.io/)**
@@ -361,7 +364,7 @@ This is an awesome list of the best multi-agent research papers compiled by the
 
 - **[Latent Collaboration in Multi-Agent Systems](https://arxiv.org/abs/2511.20639)**
 
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+---
 
 # Citations
 

src/arxiv_bibtex.bib

@@ -1,3 +1,13 @@
+@misc{emde2026maseval,
+      title={MASEval: Extending Multi-Agent Evaluation from Models to Systems}, 
+      author={Cornelius Emde and Alexander Rubinstein and Anmol Goel and Ahmed Heakl and Sangdoo Yun and Seong Joon Oh and Martin Gubri},
+      year={2026},
+      eprint={2603.08835},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI},
+      url={https://arxiv.org/abs/2603.08835}, 
+}
+
 @misc{bai2022221208073,
   title         = {Constitutional AI: Harmlessness from AI Feedback},
   author        = {Yuntao Bai and Saurav Kadavath and Sandipan Kundu and Amanda Askell and Jackson Kernion and Andy Jones and Anna Chen and Anna Goldie and Azalia Mirhoseini and Cameron McKinnon and Carol Chen and Catherine Olsson and Christopher Olah and Danny Hernandez and Dawn Drain and Deep Ganguli and Dustin Li and Eli Tran-Johnson and Ethan Perez and Jamie Kerr and Jared Mueller and Jeffrey Ladish and Joshua Landau and Kamal Ndousse and Kamile Lukosuite and Liane Lovitt and Michael Sellitto and Nelson Elhage and Nicholas Schiefer and Noemi Mercado and Nova DasSarma and Robert Lasenby and Robin Larson and Sam Ringer and Scott Johnston and Shauna Kravec and Sheer El Showk and Stanislav Fort and Tamera Lanham and Timothy Telleen-Lawton and Tom Conerly and Tom Henighan and Tristan Hume and Samuel R. Bowman and Zac Hatfield-Dodds and Ben Mann and Dario Amodei and Nicholas Joseph and Sam McCandlish and Tom Brown and Jared Kaplan},