Challenge: Recent research has focused on negotiation dialogue systems, but no systematic review of this task has been conducted.
Approach: They propose to provide a systematic review of negotiation dialogue systems and to provide an overview of current research.
Outcome: The proposed systems are based on the literature and are compared against existing systems.

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Social Influence Dialogue Systems: A Survey of Datasets and Models For Social Influence Tasks (2023.eacl-main)

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Challenge: Existing research focuses on task-oriented or open-domain dialogue systems with influence skills.
Approach: They propose to define and introduce a category of social influence dialogue systems that influence users’ cognitive and emotional responses.
Outcome: The proposed system is task-oriented or goal-oriented, but it is not open-domain.
Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues (2024.findings-emnlp)

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Challenge: Large Language Models (LLMs) are increasingly being utilized as AI negotiation agents . however, prior research on LLMs lacks a systematic evaluation of their diverse capabilities in negotiation.
Approach: They propose to analyze the multifaceted capabilities of Large Language Models (LLMs) across diverse dialogue scenarios throughout the stages of a typical negotiation interaction.
Outcome: The proposed model outperforms GPT-4 in many negotiation tasks while identifying specific challenges, such as making subjective assessments and generating contextually appropriate, strategically advantageous responses.
A Brief Survey of Textual Dialogue Corpora (2022.lrec-1)

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Challenge: Several dialogue corpora are available for research purposes, but they do not cover all the necessities of real-world applications.
Approach: They analyze available dialogue corpora and propose possible approaches to create new ones.
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Deep Learning for Dialogue Systems (C18-3)

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Challenge: Using deep learning to build robust and scalable spoken dialogue systems is still a challenging task.
Approach: tutorial focuses on an overview of dialogue system development . goal-oriented spoken dialogue systems are most prominent component in virtual personal assistants .
Outcome: This tutorial focuses on an overview of dialogue system development while summarizing the challenges.
Recent Trends in Personalized Dialogue Generation: A Review of Datasets, Methodologies, and Evaluations (2024.lrec-main)

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Challenge: Personalization is a multifaceted process that requires multiple definitions and varies between individuals.
Approach: They propose to systemically survey the recent landscape of personalized dialogue generation including the datasets employed, methodologies developed, and evaluation metrics applied.
Outcome: The proposed model can generate fluent and coherent responses to human queries in a language-based conversational agent.
A Speculative and Tentative Common Ground Handling for Efficient Composition of Uncertain Dialogue (2022.lrec-1)

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Challenge: a study explores how the grounding process is composed and adapts to human cognitive processes . common ground is a set of information shared among participants that serves as a precondition for understanding individual utterances .
Approach: a study investigates how the grounding process is composed by participants . it suggests that common ground may not necessarily be formed bottom-up through analytic expressions .
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CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems (2021.naacl-main)

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Challenge: Existing systems that negotiate with humans have broad applications in pedagogy and conversational AI.
Approach: They propose to annotate persuasion strategies and perform correlation analysis to understand how dialogue behaviors are associated with the negotiation performance.
Outcome: The proposed system improves negotiation performance for all strategies labeled as skewed . the proposed system is available on github.com/kushalchawla/ .
We Argue to Agree: Towards Personality-Driven Argumentation-Based Negotiation Dialogue Systems for Tourism (2025.findings-emnlp)

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Challenge: Argumentation mechanisms are integrated into negotiation dialogue systems to improve conflict resolution and adaptability.
Approach: They propose a dataset of Argumentation Profile, Preference Profile, and Buying Style Profiles to generate personality-driven dialogues in negotiation dialogue systems.
Outcome: The proposed task improves argumentation mechanisms and adaptability by aligning interactions with individuals’ preferences and styles.
Decoupling Strategy and Generation in Negotiation Dialogues (D18-1)

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Challenge: Recent work on negotiation trains neural models, but their end-to-end nature makes it hard to control their strategy.
Approach: They propose a modular approach that decouples strategy and generation by coarse dialogue acts . they test their approach on a recently proposed DEALORNODEAL game .
Outcome: The proposed approach can decouple strategy and generation without degeneracy.
The AI Doctor Is In: A Survey of Task-Oriented Dialogue Systems for Healthcare Applications (2022.acl-long)

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Challenge: Task-oriented dialogue systems have been surveyed in the medical community from a non-technical perspective, but a systematic review from . a rigorous computational perspective has to date remained noticeably absent.
Approach: They analyze 4070 papers on task-oriented dialogue systems for healthcare applications and identify gaps in their analysis.
Outcome: The proposed system-level implementation details remain limited or underspecified, slowing the pace of innovation in this area.

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