NeurIPS 2025PastAgents
Workshop on Scaling Environments for Agents
SEA @ NeurIPS 2025
- Submission deadline
- Sep 3, 2025, 11:59 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (93)
Fetched from OpenReview (v2) on 2026-06-10.
A Multi-agent Reasoning Framework for Video Question Answering
Agent Context Protocols Enhance Collective Inference
AgentCrypt: Advancing Privacy and (Secure) Computation in AI Agent Collaboration
Agentic Persona Control and Task State Tracking for Realistic User Simulation in Interactive Scenarios
AgentSynth: Scalable Task Generation for Generalist Computer-Use Agents
All Life is Problem Creation: Learning to Generate Environments that Maximize Performance Gain
Are LLMs Generalist Hanabi Agents?
Automated Specialization of Stateful Agent Systems
Beyond Fixed Tasks: Unsupervised Environment Design for Task-Level Pairs
BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery
BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair
Characterizing Deep Research: A Benchmark and Formal Definition
ChinaTravel: An Open-Ended Benchmark for Language Agents in Chinese Travel Planning
Co-Evolving Complexity: An Adversarial Framework for Automatic MARL Curricula
Code2MCP: Transforming Code Repositories into MCP Services
CoLLAB: A Framework for Designing Scalable Benchmarks for Agentic LLMs
Communicating Plans, Not Percepts: Scalable Multi-Agent Coordination with Embodied World Models
CUBE: Collaborative Multi-Agent Block-Pushing Environment for Collective Planning with LLM Agents
DEBATE: A Large-Scale Benchmark for Role-Playing LLM Agents in Multi-Agent, Long-Form Debates
DefenderBench: A Toolkit for Evaluating Language Agents in Cybersecurity Environments
Enabling multi-agent collaboration in knowledge graph environments
Enabling User-Created Multi-Agent Simulations: Interactive and Customizable 2D Environments to Study Team Dynamics with LLM Agents
EVOLVE-MEM: A Self-Adaptive Hierarchical Memory Architecture for Next-Generation Agentic AI Systems
Examining the Vulnerability of Multi-Agent Medical Systems to Human Interventions for Clinical Reasoning
Exploring Personality Trait Change of LLM-Based AI Systems
Faithful Simulation of User–Agent–Environment Interactions for Scalable LLM Agent Evaluation
Fathom-Search-4B: Scaling DeepSearch Reasoning Capabilities via RL
GEM: A Gym for Agentic LLMs
GLEE: A Unified Framework and Benchmark for Language-based Economic Environments
Go-Browse: Training Web Agents with Structured Exploration
GR-Agent: Adaptive Graph Reasoning Agent under Incomplete Knowledge
GroundedPRM: Tree-Guided and Fidelity-Aware Process Reward Modeling for Step-Level Reasoning
IndusGCC: A Data Benchmark and Evaluation Framework for GUI-Based General Computer Control in Industrial Automation
Learning to Make Friends: Coaching LLM Agents toward Emergent Social Ties
Licence to Scale: A Microservice Simulation Environment for Benchmarking Agentic AI
LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra
LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training
Ludax: A GPU-Accelerated Domain Specific Language for Board Games
MAPGD: Multi-Agent Prompt Gradient Descent for Collaborative Prompt Optimization
MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers
MEMTRACK: Evaluating Long-Term Memory and State Tracking in Multi-Platform Dynamic Agent Environments
MIRAI: Evaluating LLM Agents for International Event Forecasting
Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks
Mobile-Agent-V: A Video-Guided Approach for Effortless and Efficient Operational Knowledge Injection in Mobile Automation
Model Context Protocol for Vision Agents: Schema, Memory, and World Model Implications
Natural Language Grounded Reinforcement Learning for Clinical Decision-Making in Virtual Patient Simulations
On the Importance of Task Complexity in Evaluating LLM-Based Multi-Agent Systems
OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation
Paper2Video: Automatic Video Generation from Scientific Papers
Player-Coach Teamwork: Multi-agent Collaboration for Improving LLM Reasoning
PrivacyMAS: A Privacy-Preserving Multi-Agent System Framework
Protein Design with Agent Rosetta: A Case Study for Specialized Scientific Agents
PuzzleJAX: A Benchmark for Reasoning and Learning
RAISE: Reliable Agent Improvement via Simulated Experience
RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users
ReMAC: Large Language Model-Driven Reward Design for Multi-Agent Manipulation Collaboration
Revisiting Boids for Emergent Intelligence via Multi-Agent Collaborative Tool-Building
Revisiting Uncertainty Estimation and Calibration of Large Language Models
RPGBENCH: Evaluating Large Language Models as Role-Playing Game Engines
Scaling Environments for LLM Agents in the Era of Learning from Interaction: A Survey
Scaling Open-Ended Reasoning to Predict the Future
SEA: Stateful Execution Environment for Conversational Big Data Analytics
SEDM: Scalable Self-Evolving Distributed Memory for Agents
See, Think, Act: Online Shopper Behavior Simulation with VLM Agents
Shaping Smart Personal Assistants through Generative Interactive Environments for Scalable Design and Evaluation
Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning
Similar: A Step-Wise, Multi-Dimensional Reward Model for Virtual Agent Learning and Reasoning
SimuGen: Multi-modal Agentic Framework for Constructing Block Diagram-Based Simulation Models
SpatialThinker: Reinforcing 3D Reasoning in Multimodal LLMs via Spatial Rewards
Steering Diffusion Policies with Value-Guided Denoising
The Influence of Scaffolds on Coordination Scaling Laws in LLM Agents
The Physical Basis of Prediction: World Model Formation in Neural Organoids via an LLM-Generated Curriculum
Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction
Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning
Traxgen: Ground-Truth Trajectory Generation for AI Agent Evaluation
TutorTest: Evaluating Language Model-based Tutoring Policies Using Surrogate Tasks
Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning
UpSkill: Mutual Information Skill Learning for Structured Response Diversity in LLMs
UserBench: An Interactive Gym Environment for User-Centric Agents
VendiRL: A Framework for Self-Supervised Reinforcement Learning of Diversely Diverse Skills
Verifiable Chemical Reasoning through Tool-Calling Agentic Workflow
VideoAgent2: Enhancing the LLM-Based Agent System for Long-Form Video Understanding by Uncertainty-Aware CoT
Vision-Language Models Unlock Task-Centric Latent Actions
WebArena Verified: Reliable Evaluation for Web Agents
What Limits Agentic Systems Efficiency?
What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities
When Agents go Astray: Course-Correcting SWE Agents with PRMs
When Developer Aid Becomes Security Debt: A Systematic Analysis of Insecure Behaviors in LLM Coding Agents
You Don't Know Until You Click: Automated GUI Testing for Production-Ready Software Evaluation
YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models
Zephyrus: An Agentic Framework for Weather Science