"I'd Like to Have an Argument, Please": Argumentative Reasoning in Large Language Models

Knowledge Representation and Reasoning

Brachman RJ, Levesque HJ · 2004

Earlier work this paper cites.

Abstract Meaning Representation for Sembanking

Banarescu L, Bonial C, Cai S, Georgescu M, Griffitt K, Hermjakob U, et al · 2013

Earlier work this paper cites.

Deep Reinforcement Learning from Human Preferences

Christiano PF, Leike J, Brown T, Martic M, Legg S, Amodei D · 2017

Earlier work this paper cites.

Language Models Are Few-Shot Learners

Brown TB, Mann B, Ryder N, Subbiah M, Kaplan J, Dhariwal P, et al · 2020

Earlier work this paper cites.

APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning

Cheng L, Bing L, Yu Q, Lu W, Si L · 2020

Earlier work this paper cites.

Argument Mining: A Survey

Lawrence J, Reed C · 2020

Earlier work this paper cites.

Are NLP Models really able to Solve Simple Math Word Problems?

Patel A, Bhattamishra S, Goyal N · 2021

Earlier work this paper cites.

Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding

Cheng L, Wu T, Bing L, Si L · 2021

Earlier work this paper cites.

Explainable Unsupervised Argument Similarity Rating with Abstract Meaning Representation and Conclusion Generation

Opitz J, Heinisch P, Wiesenbach P, Cimiano P, Frank A · 2021

Earlier work this paper cites.

Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Lu Y, Bartolo M, Moore A, Riedel S, Stenetorp P · 2022

Earlier work this paper cites.

Do Prompt-Based Models Really Understand the Meaning of Their Prompts?

Webson A, Pavlick E · 2022

Earlier work this paper cites.

Chain of Thought Prompting Elicits Reasoning in Large Language Models

Wei J, Wang X, Schuurmans D, Bosma M, brian ichter, Xia F, et al · 2022

Earlier work this paper cites.

Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction

Van der Meer M, Reuver M, Khurana U, Krause L, Baez Santamaria S · 2022

Earlier work this paper cites.

Fair and Argumentative Language Modeling for Computational Argumentation

Holtermann C, Lauscher A, Ponzetto S · 2022

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Emergent Abilities of Large Language Models

Wei J, Tay Y, Bommasani R, Raffel C, Zoph B, Borgeaud S, et al · 2022

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Anil C, Wu Y, Andreassen AJ, Lewkowycz A, Misra V, Ramasesh VV, et al · 2022

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