mlsanityData to 7 Oct 2026

Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation

arXiv 2312.13608 ↗First posted 21 Dec 2023cs.CLcited by 12

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Abstract (arXiv)

Counter-argument generation -- a captivating area in computational linguistics -- seeks to craft statements that offer opposing views. While most research has ventured into paragraph-level generation, sentence-level counter-argument generation beckons with its unique constraints and brevity-focused challenges. Furthermore, the diverse nature of counter-arguments poses challenges for evaluating model performance solely based on n-gram-based metrics. In this paper, we present the ArgTersely benchmark for sentence-level counter-argument generation, drawing from a manually annotated dataset from the ChangeMyView debate forum. We also propose Arg-LlaMA for generating high-quality counter-argument. For better evaluation, we trained a BERT-based evaluator Arg-Judge with human preference data. We conducted comparative experiments involving various baselines such as LlaMA, Alpaca, GPT-3, and others. The results show the competitiveness of our proposed framework and evaluator in counter-argument generation tasks. Code and data are available at https://github.com/amazingljy1206/ArgTersely.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 25 of its 42 references that are in the map. First posted on arXiv 21 Dec 2023.

Builds on

25 of 42 references.

References · 25

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  3. 2020Language Models are Few-Shot Learnerscited by 32,199
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13 more
  1. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,579
  2. 2022Large Language Models Are Human-Level Prompt Engineerscited by 1,020
  3. 2019DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generationcited by 842
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  5. 2016Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussionscited by 106
  6. 2018Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networkscited by 58
  7. 2019Argument Generation with Retrieval, Planning, and Realizationcited by 45
  8. 2020Aspect-Controlled Neural Argument Generationcited by 43
  9. 2018Neural Argument Generation Augmented with Externally Retrieved Evidencecited by 34
  10. 2021Argument Undermining: Counter-Argument Generation by Attacking Weak Premisescited by 22
  11. 2022Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learnerscited by 22
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 5; 2025: 3; 2026: 4.

12 papers.

  1. 2024Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Counteringcited by 11
  2. 2024ConQRet: Benchmarking Fine-Grained Evaluation of Retrieval Augmented Argumentation with LLM Judgescited by 5
  3. 2025Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Modelscited by 3
  4. 2024Overview of AI-Debater 2023: The Challenges of Argument Generation Taskscited by 2
  5. 2024Incivility and Rigidity: Evaluating the Risks of Fine-Tuning LLMs for Political Argumentationcited by 1
  6. 2025Towards Comprehensive Argument Analysis in Education: Dataset, Tasks, and Methodcited by 1
  7. 2026When Hate Meets Facts: LLMs-in-the-Loop for Check-worthiness Detection in Hate Speechcited by 1
  8. 2026ArgBench: Benchmarking LLMs on Computational Argumentation Taskscited by 1
  9. 2024Overview of the CAIL 2023 Argument Mining Trackcited by 0
  10. 2025Data Descriptions from Large Language Models with Influence Estimationcited by 0
  11. 2026Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025cited by 0
  12. 2026PTCG: Persona-guided Tree-based Counterargument Generationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Arg-LLaDA: Argument Summarization via Large Language Diffusion Models and Sufficiency-Aware Refinement
  2. 2023AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interaction
  3. 2024"Reasoning" with Rhetoric: On the Style-Evidence Tradeoff in LLM-Generated Counter-Arguments
  4. 2024A Logical Fallacy-Informed Framework for Argument Generation
  5. 2025Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Arguments
  6. 2026Argument Quality Assessment with Large Language Models: A Pairwise Bradley-Terry Approach
  7. 2025Large Language Models in Argument Mining: A Survey
  8. 2025DS@GT at Touch'e: Large Language Models for Retrieval-Augmented Debate