NeurIPS 2025PastLarge language models
First Workshop on Multi-Turn Interactions in Large Language Models
MTI-LLM @ 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 (122)
Fetched from OpenReview (v2) on 2026-06-10.
$\mathbf{T^3}$: Reducing Belief Deviation in Reinforcement Learning for Active Reasoning
$\textit{The Traitors}$: Deception and Trust in Multi-Agent Language Model Simulations
A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations
A Practitioner's Guide to Multi-turn Agentic Reinforcement Learning
A-LAMP: Agentic LLM-Based Framework for Automated MDP Modeling and Policy Generation
AgentChangeBench: A Multi-Dimensional Evaluation Framework for Goal-Shift Robustness in Conversational AI
AgentSynth: Scalable Task Generation for Generalist Computer-Use Agents
AI Debaters are More Persuasive when Arguing in Alignment with Their Own Beliefs
Alignment via Competition: Emergent Alignment from Differently Misaligned Agents
Another Turn, Better Output? A Turn-Wise Analysis of Iterative LLM Prompting
Are LLMs Generalist Hanabi Agents?
AsymPuzl: An Asymmetric Puzzle for multi-agent cooperation
AURA: A Diagnostic Framework for Tracking User Satisfaction of Interactive Planning Agents
Automating Deception: Scalable Multi-Turn LLM Jailbreaks
Benchmarking Correctness and Security in Multi-Turn Code Generation
Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL
BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent
BrowserArena: Evaluating LLM Agents on Real-World Web Navigation Tasks
CaRT: Teaching LLM Agents to Know When They Know Enough
CEDA: Cross-modal Evaluation through Debate Agents for Robust Hallucination Detection
Characterization and Detection of Incompleteness and Ambiguity in Multi-Turn Interactions with LLMs
ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care
Collaborative Prediction: Tractable Information Aggregation via Agreement
ConDABench: Interactive Evaluation of Language Models for Data Analysis
Conformity, Inertia, and Value Alignment in Multi-Turn LLM Deliberation
CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures
CRMWeaver: Building Powerful Business Agent via Agentic RL and Shared Memories
Customer-R1: personalized simulation of Human Behaviors via RL-based LLM Agent in Online Shopping
Delay-of-Gratification as a Multi-Agent Survival Micro-benchmark for Long-Horizon LLMs: Social Exposure, Personas, and Tool Use Budgets
DeLLMphi: A Multi-Turn Method for Multi-Agent Forecasting
Democratizing Diplomacy: A Harness for Evaluating Any Large Language Model on Full-Press Diplomacy
Disclosure Audits for LLM Agents
Do Large Language Models Defend Their Beliefs Consistently?
Efficient Reinforcement Learning for Optimizing Multi-turn Student Outcomes with LLM Tutors
ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models
Estimating the Empowerment of Language Model Agents
ExploraTutor: A Dataset for Children’s Exploratory Dialogue by Integrating Multiple Educational theories
Exploring exploration with foundation agents in interactive environments
Fathom-Search-4B: Scaling DeepSearch Reasoning Capabilities via RL
Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactions
FlowKV: Enhancing Multi-Turn Conversational Coherence in LLMs via Isolated Key-Value Cache Management
Goal Alignment in LLM-Based User Simulators for Conversational AI
Graph of Attacks: Improved Black-Box and Interpretable Jailbreaks for LLMs
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ -bench
How to Train Your LLM Web Agent: A Statistical Diagnosis
Improved Multi-Agent Collaboration with Multi-Turn Reinforcement Learning
Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge
Interleaved Reasoning for Large Language Models via Reinforcement Learning
It's LIT! Reliability-Optimized LLMs with Inspectable Tools
Language Models Rate Their Own Actions As Safer
Large Language Models Develop Novel Social Biases Through Adaptive Exploration
Learning to be Proactive from Missed User-Signals in Multi-turn Dialogues
Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification
Let’s Try Again: Eliciting Multi-Turn Reasoning in Language Models via Simplistic Feedback
Leveraging In-Context Learning for Language Model Agents
LLM Rationalis? Measuring bargaining capabilities of AI negotiators
MAC: A Multi-Agent Framework for Interactive User Clarification in Multi-turn Conversations
MAREval: A Multi-Agent Framework for Evaluating Natural Language Recommendation Explanations
MELISSA: Multi-level Evaluation with LLM-based Integrated Self-Scrutiny and Auditing
MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents
Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge
Modeling and Predicting Multi-Turn Answer Instability in Large Language Models
Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation
Multi-Turn Human–LLM Interaction Through the Lens of a Two-Way Intelligibility Protocol
Multi-Turn LLM Systems for Diagnostic Decision-Making: Considerations, Biases, and Challenges
MultiScale Contextual Bandits for Long Term Objectives
ObjexMT: Objective Extraction and Metacognitive Calibration for LLM‑as‑a‑Judge under Multi‑Turn Jailbreaks
Offline Policy Evaluation of Multi-Turn LLM Health Coaching with Real Users
One-Pass to Reason: Token Duplication and Block-Sparse Mask for Efficient Fine-Tuning on Multi-Turn Reasoning
Open-Universe Assistance Games
OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation
Optimizing for Persuasion Improves LLM Generalization: Evidence from Quality-Diversity Evolution of Debate Strategies
OrchDAG: Complex Tool Orchestration in Multi-Turn Interactions with Plan DAGs
Orchestrator: Active Inference for Multi-Agent Systems in Long-Horizon Tasks
ParetoMIL: Early Risk Detection in Dialogue under Weak Supervision
PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time
Persuade Me if You Can: A Framework for Evaluating Persuasion Effectiveness and Susceptibility Among Large Language Models
Pluralistic Behavior Suite: Stress-Testing Multi-Turn Adherence to Custom Behavioral Policies
PrefDisco: Evaluating Proactive Personalization through Interactive Preference Discovery
Probe by Gaming: A Game-based Benchmark for Assessing Conceptual Knowledge in LLMs
PyVision: Agentic Vision with Dynamic Tooling
Quantifying Information Gain and Redundancy in Multi-Turn LLM Conversations
RAFFLES: Reasoning-based Attribution of Faults for LLM Systems
RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users
RefineBench: Evaluating Refinement Capability in Language Models
REFRAG: Rethinking RAG based Decoding
Reinforced Reasoning for Interactive Multi-step Embodied Planning
Reinforcement Learning for Long-Horizon Multi-Turn Search Agents
Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Reward Design and Credit Assignment
Saying the Unsaid: Revealing the Hidden Language of Multimodal Systems Through Telephone Games
Scalability of LLM-Based Multi-Agent Systems for Scientific Code Generation: A Preliminary Study
Semantic Context for Tool Orchestration
SENTINEL: Sentiment Evolution and Narrative Tracking in Extended LLM Interactions
Show or Tell? Interactive Task Learning with Large Language Models
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
SkyRL-SQL: Multi-turn SQL Data Agents via RL
SMAGDi: Socratic Multi Agent Interaction Graph Distillation for Efficient High Accuracy Reasoning
Sotopia-RL: Reward Design for Social Intelligence
Stability of Preference Alignment for Multi-Turn Control with LLM Policies
StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production–Living Simulations with Stardew Valley
State-Induced Risk Amplification of AI Agents
Stop-RAG: Value-Based Retrieval Control for Iterative RAG
Studying Coordination and Collusion in Multi-Agent LLM Code Reviews
Task Completion Agents are Not Ideal Collaborators
Test-Time Policy Adaptation for Enhanced Multi-Turn Interactions with LLMs
The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets
The Chameleon Nature of LLMs: Quantifying Multi-Turn Stance Instability in Search-Enabled Language Models
The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs
The Influence of Scaffolds on Coordination Scaling Laws in LLM Agents
Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction
TOD-ProcBench: Benchmarking Complex Instruction-Following in Task-Oriented Dialogues
ToolComp: A Multi-Tool Reasoning & Process Supervision Benchmark
Toward Community-Driven Agents for Machine Learning Engineering
Tracing Coordination Dynamics in Multi-Turn LLM Discussions
Traxgen: Ground-Truth Trajectory Generation for AI Agent Evaluation
User-Assistant Bias in LLMs
Verlog: Context-lite Multi-turn Reinforcement Learning framework for Long-Horizon LLM Agents
VideoMind: A Chain-of-LoRA Agent for Temporal-Grounded Video Reasoning
WebGraphEval: Multi-Turn Trajectory Evaluation for Web Agents using Graph Representation
WEBSERV: A Browser-Server Environment for Efficient Training of Reinforcement Learning-based Web Agents at Scale
What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities
WOLF: Werewolf-based Observations for LLM Deception and Falsehoods