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🌍 Planning energy transitions in Africa requires seeing the "Nexus." The #ONEsim toolkit is an open-source WEF-SDM model designed to simulate how Water, Energy, and Food systems interact in the Inkomati-Usuthu region.

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Also, congratulations to all the accepted papers! This year, we received 149 valid submissions, with 10 accepted as Oral and 81 accepted as Poster. A huge shout-out to all our 203 reviewers for making this happen! Oral Presentations: - Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction - VideoAgent2: Enhancing the LLM-Based Agent System for Long-Form Video Understanding by Uncertainty-Aware CoT - Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks - YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models - Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning - What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities - MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision - GEM: A Gym for Agentic LLMs - RPGBENCH: Evaluating Large Language Models as Role-Playing Game Engines - Shaping Smart Personal Assistants through Generative Interactive Environments for Scalable Design and Evaluation Poster Presentations: - Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning - Exploring Personality Trait Change of LLM-Based AI Systems - All Life is Problem Creation: Learning to Generate Environments that Maximize Performance Gain - UserBench: An Interactive Gym Environment for User-Centric Agents - Beyond Fixed Tasks: Unsupervised Environment Design for Task-Level Pairs - RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users - Licence to Scale: A Microservice Simulation Environment for Benchmarking Agentic AI - GLEE: A Unified Framework and Benchmark for Language-based Economic Environments - PrivacyMAS: A Privacy-Preserving Multi-Agent System Framework - Communicating Plans, Not Percepts: Scalable Multi-Agent Coordination with Embodied World Models - Mobile-Agent-V: A Video-Guided Approach for Effortless and Efficient Operational Knowledge Injection in Mobile Automation - What Limits Agentic Systems Efficiency? - Co-Evolving Complexity: An Adversarial Framework for Automatic MARL Curricula - When Developer Aid Becomes Security Debt: A Systematic Analysis of Insecure Behaviors in LLM Coding Agents - The Physical Basis of Prediction: World Model Formation in Neural Organoids via an LLM-Generated Curriculum - DEBATE: A Large-Scale Benchmark for Role-Playing LLM Agents in Multi-Agent, Long-Form Debates - MAPGD: Multi-Agent Prompt Gradient Descent for Collaborative Prompt Optimization - BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair - TutorTest: Evaluating Language Model-based Tutoring Policies Using Surrogate Tasks - You Don't Know Until You Click: Automated GUI Testing for Production-Ready Software Evaluation - Paper2Video: Automatic Video Generation from Scientific Papers - On the Importance of Task Complexity in Evaluating LLM-Based Multi-Agent Systems - SimuGen: Multi-modal Agentic Framework for Constructing Block Diagram-Based Simulation Models - SEDM: Scalable Self-Evolving Distributed Memory for Agents - Similar: A Step-Wise, Multi-Dimensional Reward Model for Virtual Agent Learning and Reasoning - BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery - GR-Agent: Adaptive Graph Reasoning Agent under Incomplete Knowledge - A Multi-agent Reasoning Framework for Video Question Answering - LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra - Ludax: A GPU-Accelerated Domain Specific Language for Board Games - Survival of the Useful: Evolutionary Boids as a Sandbox for Agent Societies - EVOLVE-MEM: A Self-Adaptive Hierarchical Memory Architecture for Next-Generation Agentic AI Systems - ReMAC: Large Language Model-Driven Reward Design for Multi-Agent Manipulation Collaboration - Revisiting Uncertainty Estimation and Calibration of Large Language Models - Vision-Language Models Unlock Task-Centric Latent Actions - AgentyxCrypt: Advancing Privacy and (Secure) Computation in AI Agent Collaboration - Protein Design with Agent Rosetta: A Case Study for Specialized Scientific Agents - Zephyrus: An Agentic Framework for Weather Science - Traxgen: Ground-Truth Trajectory Generation for AI Agent Evaluation - LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training - DefenderBench: A Toolkit for Evaluating Language Agents in Cybersecurity Environments - ChinaTravel: An Open-Ended Benchmark for Language Agents in Chinese Travel Planning - Characterizing Deep Research: A Benchmark and Formal Definition - Examining the Vulnerability of Multi-Agent Medical Systems to Human Interventions for Clinical Reasoning - IndusGCC: A Data Benchmark and Evaluation Framework for GUI-Based General Computer Control in Industrial Automation - Faithful Simulation of User–Agent–Environment Interactions for Scalable LLM Agent Evaluation - MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers - Code2MCP: Transforming Code Repositories into MCP Services - WebArena Verified: Reliable Evaluation for Web Agents - See, Think, Act: Online Shopper Behavior Simulation with VLM Agents - Agent Context Protocols Enhance Collective Inference - Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning - Enabling User-Created Multi-Agent Simulations: Interactive and Customizable 2D Environments to Study Team Dynamics with LLM Agents - The Influence of Scaffolds on Coordination Scaling Laws in LLM Agents - Go-Browse: Training Web Agents with Structured Exploration - VendiRL: A Framework for Self-Supervised Reinforcement Learning of Diversely Diverse Skills - OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation - GroundedPRM: Tree-Guided and Fidelity-Aware Process Reward Modeling for Step-Level Reasoning - When Agents go Astray: Course-Correcting SWE Agents with PRMs - Natural Language Grounded Reinforcement Learning for Clinical Decision-Making in Virtual Patient Simulations - Scaling Environments for LLM Agents in the Era of Learning from Interaction: A Survey - RAISE: Reliable Agent Improvement via Simulated Experience - Learning to Make Friends: Coaching LLM Agents toward Emergent Social Ties - CoLLAB: A Framework for Designing Scalable Benchmarks for Agentic LLMs - Model Context Protocol for Vision Agents: Schema, Memory, and World Model Implications - MEMTRACK: Evaluating Long-Term Memory and State Tracking in Multi-Platform Dynamic Agent Environments - Enabling multi-agent collaboration in knowledge graph environments - AgentSynth: Scalable Task Generation for Generalist Computer-Use Agents - MIRAI: Evaluating LLM Agents for International Event Forecasting - PuzzleJAX: A Benchmark for Reasoning and Learning - Agentic Persona Control and Task State Tracking for Realistic User Simulation in Interactive Scenarios - Are LLMs Generalist Hanabi Agents? - MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers - SpatialThinker: Reinforcing 3D Reasoning in Multimodal LLMs via Spatial Rewards - UpSkill: Mutual Information Skill Learning for Structured Response Diversity in LLMs - Steering Diffusion Policies with Value-Guided Denoising - CUBE: Collaborative Multi-Agent Block-Pushing Environment for Collective Planning with LLM Agents - Player-Coach Teamwork: Multi-agent Collaboration for Improving LLM Reasoning - Automated Specialization of Stateful Agent Systems - Scaling Open-Ended Reasoning to Predict the Future - Verifiable Chemical Reasoning through Tool-Calling Agentic Workflow - Fathom-Search-4B: Scaling DeepSearch Reasoning Capabilities via RL - SEA: Stateful Execution Environment for Conversational Big Data Analytics More info about the accepted papers: sea-workshop.github.io/

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Honoured to be invited to conduct @onesimeducation workshops at Simulus-10. Special thanks to @ashokaiims and team for the kind invitation & hospitality. #ONESim #SimEd

🔬🧪I Read 10 Papers on AI Agent Use Cases in Pharma, Genomics, and Materials — Here’s the Summary. 🧪 Old Way of Doing Science ━━━━━━━━━━━━━ ⓞ Drug Discovery: Trial-and-error screening, siloed ML models ⓞ Materials Science: Years of experiments, little reuse ⓞ Knowledge Retrieval: Static keyword search, no memory or reasoning ⓞ Research Process: Linear, manual — from literature to lab ⓞ Pharma R&D: Disconnected tools for synthesis, IP, and docs ⓞ Patent Review: Manual structural comparisons — slow, error-prone ⓞ UAV Coordination: Rule-based control, low adaptability ⓞ Omics Research: Fragmented genomics, proteomics, transcriptomics ⓞ Social Simulation: Hard-coded agents, no scalability ⓞ Economic Experiments: Human-only, expensive, small-scale 🔬 10 Game-Changing AI Agent Systems ━━━━━━━━━━━━━ ✔️ CLADD → Multi-agent LLMs biomedical data for multi-hop drug design ✔️ dZiner → GPT-4 simulation loops to discover new materials ✔️ GraphRAG → Memory-rich knowledge graphs for contextual retrieval ✔️ GVIM → Orchestrates agents for chemical experiment planning ✔️ PharmAgents → Simulates pharma pipelines: synthesis to patent strategy ✔️ PatentFinder → Multi-agent legal framework for infringement detection ✔️ MRLMN → RL LLM agents for UAV coordination in dynamic environments ✔️ BaisBench → Evaluates agent reasoning over multi-omics datasets ✔️ Yulan-OneSim → Code-free simulations with 100K social agents ✔️ LLM Econ Agents → Market negotiation bounded rationality modeling Agentic Science > Manual Science ━━━━━━━━━━━━━ AI isn’t supporting science anymore — it’s doing science. 📎 10 paper links in comments ≫ ~~~~ 》 Join My 𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝟰-𝗶𝗻-𝟭 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴! ➠ 4 Frameworks · 6 Python Projects · 100% Hands-On ➠ Build Real-World AI Agents for Healthcare, Finance, Smart Cities ➠ Learn Best Frameworks: LangGraph | PydanticAI | CrewAI | OpenAI Swarm

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🎉Excited to introduce YuLan-OneSim, next-gen social simulators using LLM agents. 🔬Code-free scenario construction 📊50 scenarios across 8 domains 🧠Evolvable simulation with feedback 🚀100,000 agents support 🤖AI researcher for autonomous cycles github.com/RUC-GSAI/YuLan-On…

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Une nouvelle ère pour le football des jeunes en RDC, Showcasse Académy signe deux joueurs en France ! Après la signature d'un partenariat entre Showcasse Académy et l'ASBO club évoluant en national 2 en France, Deux pépites congolaises issus de Showcasse académy sont officiellement engagés avec le Club. Grace à l'implication personnelle de son manager Estime KIUNGU, Ces deux gamins Francis Pene formé à Kinshasa avec Showcasse académy passé en Slovénie pour l'adaptation et Onesim révélé lors d'un stage aux États-Unis ont paraphé leurs contrats. Un partenariat très enrichissant pour les jeunes qui aspirent faire une carrière exceptionnelle en Europe Showcasse Académy reste le meilleur académie pour réalisation de vos rêves.

🐧🧪How AI Agents Are Outperforming Science Labs, Chemists, and Economists Old Way ---------- ⓞ Drug discovery: Trial-and-error screening and siloed ML models ⓞ Materials science: Years of experiments with minimal reuse ⓞ Knowledge retrieval: Static keyword search, no memory, no reasoning ⓞ Research process: Linear, manual — from literature to lab ⓞ Pharma R&D: Disconnected tools for synthesis, IP, and documentation ⓞ Patent review: Human-led structural comparisons — slow and error-prone ⓞ UAV coordination: Rule-based control with limited adaptability ⓞ Omics research: Fragmented pipelines across genomics, transcriptomics, proteomics ⓞ Social simulation: Hard-coded agents, zero scalability ⓞ Economic experiments: Human subjects only, small-scale, expensive New Way ---------- ꪜ 𝗖𝗟𝗔𝗗𝗗 uses multiple LLM agents with external biomedical data to design drugs via multi-hop reasoning ꪜ 𝗱𝗭𝗶𝗻𝗲𝗿 fuses GPT-4 with simulation tools to discover new materials in autonomous loops ꪜ 𝗚𝗿𝗮𝗽𝗵𝗥𝗔𝗚 builds memory-rich knowledge graphs for contextual multi-hop retrieval ꪜ 𝗚𝗩𝗜𝗠 orchestrates agent workflows that plan chemical experiments and interpret results ꪜ 𝗣𝗵𝗮𝗿𝗺𝗔𝗴𝗲𝗻𝘁𝘀 simulates an entire pharma pipeline — from synthesis to patent strategy ꪜ 𝗣𝗮𝘁𝗲𝗻𝘁𝗙𝗶𝗻𝗱𝗲𝗿 runs structural infringement checks with a multi-agent legal framework ꪜ 𝗠𝗥𝗟𝗠𝗡 uses multi-agent RL LLMs to coordinate UAV networks over dynamic multi-hop topologies ꪜ 𝗕𝗮𝗶𝘀𝗕𝗲𝗻𝗰𝗵 evaluates AI scientists on their ability to reason over multi-omics datasets ꪜ 𝗬𝘂𝗟𝗮𝗻-𝗢𝗻𝗲𝗦𝗶𝗺 enables scalable, code-free, 100K-agent social simulations ꪜ 𝗟𝗟𝗠 𝗘𝗰𝗼𝗻 𝗔𝗴𝗲𝗻𝘁𝘀 participate in market experiments — negotiating, adapting, and exposing human-like bounded rationality Agentic Science > Manual Science AI isn’t supporting science anymore—it’s doing science. Papers: 🧬 Materials Science: dZiner arxiv.org/pdf/2410.03963 🧠 Retrieval: GraphRAG: arxiv.org/pdf/2501.00309 MOLECULAR PATENT: arxiv.org/pdf/2412.07819 UAV Multi-Hop: arxiv.org/pdf/2505.08448 PharmAgents: arxiv.org/pdf/2503.22164 GVIM: pubs.rsc.org/en/content/arti… RAG-Enhanced Collaborative LLM Agents for Drug Discovery: arxiv.org/pdf/2502.17506 ≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣≣ ⫸ꆛ Want to build Real-World AI agents? Join My 𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 TODAY! ➠ Build Real-World AI Agents for Healthcare, Finance, Aviation ➠ Learn 3 Tools: LangGraph/LangChain | CrewAI | OpenAI Swarm ➠ Work with Text, Audio, Video and Tabular Data 👉𝗘𝗻𝗿𝗼𝗹𝗹 𝗡𝗢𝗪 (𝟯𝟰% 𝗱𝗶𝘀𝗰𝗼𝘂𝗻𝘁): maryammiradi.com/ai-agents-m…

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2/ Microsoft Azure hosts simulation software used to train Israel’s illegal occupation forces. In 2022, Elbit Systems launched “OneSim” — a $107M IDF training platform — on Azure, simulating battle scenarios for tank crews. This directly fuels Israel’s occupation and genocide.

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