NeurIPS 2025PastMath & reasoningAgents
NeurIPS 2025 Workshop on Bridging Language, Agent, and World Models for Reasoning and Planning
LAW
- Submission deadline
- Sep 21, 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 (111)
Fetched from OpenReview (v2) on 2026-06-10.
A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experiments
ABBEL: LLM Agents Acting through Belief Bottlenecks Expressed in Language
Acting Less is Reasoning More! Teaching Language Model to Act Efficiently
Adapting Vision-Language Models for Evaluating World Models
AgentChangeBench: A Multi-Dimensional Evaluation Framework for Goal-Shift Robustness in Conversational AI
Agentic Design Patterns: A System-Theoretic Framework
AgentMaster: A Modular Multi-Agent Framework with A2A and MCP Protocols via a Unified Conversational Interface
AI Agents for Web Testing: A Case Study in the Wild
AirTrafficGen: Configurable Air Traffic Scenario Generation with Large Language Models
Anemoi: A Semi-Centralized Multi-agent System Based on Agent-to-Agent Communication MCP server from Coral Protocol
Are LLMs Generalist Hanabi Agents?
Assessing Adaptive World Models in Machines with Novel Games
ATLAS: Actor-Critic Task-completion with Look-ahead Action Simulation
AUGUSTUS: An LLM-Driven Multimodal Agent System with Contextualized User Memory
Automated Reward Design for Gran Turismo
Avi: A 3D Vision-Language Action Model Architecture generating Action from Volumetric Inference
Behavioral Systems Require Behavioral Tests
Benchmarking Large Language Models for Zero-shot and Few-shot Phishing URL Detection
Beyond Generative AI: World Models for Clinical Prediction, Counterfactuals, and Planning
Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens
BioVerge: A Comprehensive Benchmark and Study of Self-Evaluating Agents for Biomedical Hypothesis Generation
Blocks, Bots, and Bottlenecks: Studying Real-time and Adaptive Multi-Agent LLM Collaboration
Bootstrapping World Models from Dynamics Models in Multimodal Foundation Models
Bridging Symbols from Language and Hierarchical Reinforcement Learning with Active Imitation
Bridging Tool Dependencies and Domain Knowledge: A Graph-Based Framework for In-Context Planning
Can LLMs Reliably Evaluate Themselves? A Probabilistic VC Framework
CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning
Causal Masking on Spatial Data: An Information-Theoretic Case for Learning Spatial Datasets with Unimodal Language Models
CausalARC: Abstract Reasoning with Causal World Models
Computer-Use Agents as Judges for Automatic GUI Design
CORE: Full-Path Evaluation of LLM Agents Beyond Final State
CORTEX: Collaborative LLM Agents for High-Stakes Alert Triage
Credit-Budgeted ICPC-Style Coding: When LLM Agents Must Pay for Every Decision
DDCG: Decoupled Dual-Critic Guidance for Embodied Agents
DeepPersona: Generative Engine for Scaling Deep Synthetic Personas
Democratizing Agentic RAG: Distillation-Guided Policy Optimization for Compact Language Models
Democratizing Microgrid Optimization: An LLM Agent for Dispatching Mobile Chargers to Construction Electric Vehicles
Demystify the Potential of Large Language Models as World Models of Code
DiffusionPack: Bin Packing with Custom Human Preferences
Do Cognitively Interpretable Reasoning Traces Improve LLM Performance?
DR. WELL: Dynamic Reasoning and Learning with Symbolic World Model for Embodied LLM-Based Multi-Agent Collaboration
EconWebArena: Benchmarking Autonomous Agents on Economic Tasks in Realistic Web Environments
ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric Interaction
Evaluating LLM Planning in Partially Observable Environments via Observation Representations and Action Sequences
Evaluating Long-Context Reasoning in LLM-Based WebAgents
Every Answer Counts: Efficient Entity-Centric QA by Bayesian-Guided Subquery Sampling
EvoMem: Improving Multi-Agent Planning with Dual-Evolving Memory
Gaze-Guided Multimodal LLMs for Social Scene Understanding
GAZE: Governance-Aware pre-annotation for Zero-shot World Model Environments
GenPlanX. Integrating LLMs and Classical AI for Generation of Plans and Execution
GRIT: Teaching MLLMs to Think with Images
Grounded-Retrieval Adversarial Imitation Loop: Integrating Language, Agent, and World Models
GroundedPRM: Tree-Guided and Fidelity-Aware Process Reward Modeling for Step-Level Reasoning
Higher Embedding Dimension Creates a Stronger World Model for a Simple Sorting Task
HugAgent: Evaluating LLMs in Simulating Individual-Level Human Reasoning on Open-Ended Tasks
Knot So Simple: A Minimalistic Environment for Spatial Reasoning
Language-conditioned world model improves policy generalization by reading environmental descriptions
Law in Silico: Simulating Legal Society with LLM-Based Agents
Let’s Try Again: Eliciting Multi-Turn Reasoning in Language Models via Simplistic Feedback
LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra
LLM-Driven Composite Neural Architecture Search for Multi-Source RL State Encoding
LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers
Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark
Measuring Rhetorical Style in Scientific Writing with LLM Personas
MetaSynth: Multi-Agent Metadata Generation from Implicit Feedback in Black-Box Systems
Mind-Map Agent: Enhancing Cooperative Task Planning through Communication Alignment with Large Language Models
MIRAI: Evaluating LLM Agents for International Event Forecasting
Model Context Protocol for Vision Agents: Schema, Memory, and World Model Implications
Modeling Open World Cognition as On-Demand Synthesis of Probabilistic Models
Modeling Others' Minds as Code
NiceWebRL: a Python library for human subject experiments with reinforcement learning environments
Observer, Not Player: Simulating Theory of Mind in Large Language Models through Game Observation
Physics Supernova: AI Agent Matches Elite Gold Medalists at IPhO 2025
Planning with Generative Cognitive Maps
Position: Hierarchical World Models with Causal Curation for Generalizing Agents
Position: Human-Robot Interaction Demands a Shift From Static Privacy Controls to Dynamic Learning
Position: The Physics-Physical Reasoning Interplay is Key for Future Embodied World Models
QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting
R2P: Reformulate–Retrieve–Program for Robust Mathematical Reasoning in LLMs
RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users
Reasoning Under Pressure: LLMs in Competitive Pokémon Battles
RECOLLAB: Retrieval-Augmented LLMs for Cooperative Ad-hoc Teammate Modeling
RL in Name Only? Analyzing the Structural Assumptions in RL post-training for LLMs
ROSE: Reconstructing Objects, Scenes, and Trajectories from Casual Videos for Robotic Manipulation
Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting
SAND: Boosting LLM Agents with Self-Taught Action Deliberation
SAPO: Safety-Aware Embodied Task Planning with fully Partially-Observable environment and physical constraints
SCALAR: Self-Supervised Composition and Learning of Skills with LLM Planning and RL
Scaling LLM Planning: NL2FLow for Parametric Workflow Problem Generation and Rigorous Evaluation
Similar: A Step-Wise, Multi-Dimensional Reward Model for Virtual Agent Learning and Reasoning
Social Behaviour and Strategic Adaptation of LLMs in Multiplayer Sequential Games
Social World Models
Spatial Mental Modeling from Limited Views
Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!
STRIDE: A Systematic Framework for Selecting AI Modalities—Agentic AI, AI Assistants, or LLM Calls
Test-Time Scaling for Multistep Reasoning in Small Language Models via A* Search
The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
The SWE-Bench Illusion: When State-of-the-Art LLMs Remember Instead of Reason
Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction
ToolComp: A Multi-Tool Reasoning & Process Supervision Benchmark
Trust, Risk, and Security in Agentic AI: A Short Survey
UISim: An Interactive Image-Based UI Simulator for Dynamic Mobile Environments
ValuePilot: A Two-Phase Framework for Value-Driven Decision-Making
VideoAgent: Self-Improving Video Generation for Embodied Planning
VideoMind: A Chain-of-LoRA Agent for Temporal-Grounded Video Reasoning
What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities
Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Post-Training for Multi-LLM Agents
World Model Driven Episodic Memory for LLMs
World Models must live in Parallel Worlds
WorldAgen: Unified State-Action Prediction with Test-Time World Model Training