Overview of AI-Debater 2023: The Challenges of Argument Generation Tasks
Not on the map. Why?
Abstract (arXiv)
In this paper we present the results of the AI-Debater 2023 Challenge held by the Chinese Conference on Affect Computing (CCAC 2023), and introduce the related datasets. We organize two tracks to handle the argumentative generation tasks in different scenarios, namely, Counter-Argument Generation (Track 1) and Claim-based Argument Generation (Track 2). Each track is equipped with its distinct dataset and baseline model respectively. In total, 32 competing teams register for the challenge, from which we received 11 successful submissions. In this paper, we will present the results of the challenge and a summary of the systems, highlighting commonalities and innovations among participating systems. Datasets and baseline models of the AI-Debater 2023 Challenge have been already released and can be accessed through the official website of the challenge.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 22 of its 32 references that are in the map. First posted on arXiv 20 Jul 2024.
Builds on
22 of 32 references.
References · 22
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
- 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
- 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
- 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
- 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,304
- 2022Scaling Instruction-Finetuned Language Modelscited by 2,997
- 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,579
- 2022Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Taskscited by 858
- 2016Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Modelscited by 299
- 2022A Contrastive Framework for Neural Text Generationcited by 224
- 2021CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generationcited by 81
- 2019Argument Generation with Retrieval, Planning, and Realizationcited by 45
10 more
- 2021Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinesecited by 45
- 2020Aspect-Controlled Neural Argument Generationcited by 43
- 2018Neural Argument Generation Augmented with Externally Retrieved Evidencecited by 34
- 2021Argument Undermining: Counter-Argument Generation by Attacking Weak Premisescited by 22
- 2021Belief-based Generation of Argumentative Claimscited by 14
- 2023Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generationcited by 12
- 2019Discrete Argument Representation Learning for Interactive Argument Pair Identificationcited by 6
- 2020High Quality Real-Time Structured Debate Generationcited by 2
- 2023Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretrainingcited by 2
- 2023Conclusion-based Counter-Argument Generationcited by 1
Built on by
Citing papers per year: 2025: 2.
2 papers.