mlsanityData to 7 Oct 2026

Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues

arXiv 2402.01737 ↗First posted 29 Jan 2024cs.CL cs.AIcited by 18

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

We develop assistive agents based on Large Language Models (LLMs) that aid interlocutors in business negotiations. Specifically, we simulate business negotiations by letting two LLM-based agents engage in role play. A third LLM acts as a remediator agent to rewrite utterances violating norms for improving negotiation outcomes. We introduce a simple tuning-free and label-free In-Context Learning (ICL) method to identify high-quality ICL exemplars for the remediator, where we propose a novel select criteria, called value impact, to measure the quality of the negotiation outcomes. We provide rich empirical evidence to demonstrate its effectiveness in negotiations across three different negotiation topics. We have released our source code and the generated dataset at: https://github.com/tk1363704/SADAS.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 19 of its 46 references that are in the map. First posted on arXiv 29 Jan 2024.

Builds on

19 of 46 references.

References · 19

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
  3. 2023From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuningcited by 301
  4. 2023The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learningcited by 251
  5. 2023Exploring Large Language Models for Communication Games: An Empirical Study on Werewolfcited by 238
  6. 2023Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology Viewcited by 221
  7. 2023Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedbackcited by 202
  8. 2022Active Example Selection for In-Context Learningcited by 195
  9. 2023Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learningcited by 149
  10. 2023Compositional Exemplars for In-context Learningcited by 143
  11. 2023War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Warscited by 143
  12. 2023Finding Support Examples for In-Context Learningcited by 104
7 more
  1. 2023RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputscited by 104
  2. 2023Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplationcited by 102
  3. 2023Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debatecited by 92
  4. 2023MetaAgents: Large Language Model Based Agents for Decision-Making on Teamingcited by 85
  5. 2023Align on the Fly: Adapting Chatbot Behavior to Established Normscited by 22
  6. 2024Agent Alignment in Evolving Social Normscited by 14
  7. 2024Misconfidence-based Demonstration Selection for LLM In-Context Learningcited by 14

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 6; 2025: 5; 2026: 7.

18 papers.

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  1. 2024LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Modelscited by 97
  2. 2024Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacycited by 36
  3. 2024SocialMind: LLM-based Proactive AR Social Assistive System with Human-like Perception for In-situ Live Interactionscited by 25
  4. 2024A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarioscited by 23
  5. 2024Plurals: A System for Guiding LLMs Via Simulated Social Ensemblescited by 17
  6. 2026AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactionscited by 11
  7. 2024Leveraging Large Language Models for Active Merchant Non-player Characterscited by 4
  8. 2026Human Values Matter: Investigating How Misalignment Shapes Collective Behaviors in LLM Agent Communitiescited by 4
  9. 2025RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplarscited by 2
  10. 2025NormGenesis: Multicultural Dialogue Generation via Exemplar-Guided Social Norm Modeling and Violation Recoverycited by 2
  11. 2025Static Sandboxes Are Inadequate: Modeling Societal Complexity Requires Open-Ended Co-Evolution in LLM-Based Multi-Agent Simulationscited by 2
  12. 2025Shall We Play a Game? Language Models for Open-ended Wargamescited by 1
6 more
  1. 2026PsyCLIENT: Client Simulation via Conversational Trajectory Modeling for Trainee Practice and Model Evaluation in Mental Health Counselingcited by 1
  2. 2026DPBench: Structural Determinants of Multi-Agent LLM Coordination Under Simultaneous Resource Contentioncited by 1
  3. 2025GAIA: A General Agency Interaction Architecture for LLM-Human B2B Negotiation & Screeningcited by 0
  4. 2026The Language of Bargaining: Linguistic Effects in LLM Negotiationscited by 0
  5. 2026Automated Mediator for Human Negotiation: Pre-Mediation via a Structured LLM Pipelinecited by 0
  6. 2026Deal Me Maybe: The Role of Emotions in Multi-Agent Negotiationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024AgreeMate: Teaching LLMs to Haggle
  2. 2025LLM Agents for Bargaining with Utility-based Feedback
  3. 2026PieArena: Ranking and Profiling Language Agents in Realistic Negotiation Scenarios
  4. 2025The Price of Thought: A Multilingual Analysis of Reasoning, Performance, and Cost of Negotiation in Large Language Models
  5. 2025Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
  6. 2023Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversations
  7. 2025Flexible Agent Alignment with Goal Inference from Open-Ended Dialog
  8. 2026Do Small Language Models Learn to Negotiate? A Controlled Scaling Study of RL-Trained Sellers