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New research compares LLMs for argument structure prediction in online conversations

By PulseAugur Editorial · [2 sources] ·

A new research paper explores argument structure prediction (ASP) in online conversations, comparing various modeling paradigms and task architectures. The study systematically evaluates supervised fine-tuning and prompt-based large language models (LLMs) across different architectures, focusing on performance, generalization, schema compliance, and efficiency. The findings indicate that identifying argumentative relations is a significant challenge in dialogical settings due to the implicit and context-dependent nature of argumentation. The researchers have released their data processing pipeline and modeling framework to support future work in this area. AI

IMPACT This research could improve how AI systems understand and generate arguments in conversational contexts.

RANK_REASON The cluster contains an academic paper detailing a comparative study of modeling paradigms for argument structure prediction.

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New research compares LLMs for argument structure prediction in online conversations

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The cluster contains an academic paper detailing a comparative study of modeling paradigms for argument structure prediction.
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Siddharth Bhargava, Sara Tonelli, Patricia Mart\'in-Rodilla, Javier Parapar ·

    Argument Structure Prediction in Online Conversations: A Comparative Study of Modeling Paradigms and Task Architectures

    arXiv:2609.39225v1 Announce Type: new Abstract: Argument structure prediction (ASP) constructs complete argument structures from discourse by identifying argumentative units and their relations. While recent work has explored diverse approaches---including unified neural models, …

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Javier Parapar ·

    Argument Structure Prediction in Online Conversations: A Comparative Study of Modeling Paradigms and Task Architectures

    Argument structure prediction (ASP) constructs complete argument structures from discourse by identifying argumentative units and their relations. While recent work has explored diverse approaches---including unified neural models, multi-step pipelines, and prompt-based large lan…

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