Cover Image

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Savigny, Henri, Yun, Bruno
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

End-to-End Argument Mining through Autoregressive Argumentative Structure Prediction
by: Das, Nilmadhab, et al.
Published: (2025)

Leveraging Graph Structures and Large Language Models for End-to-End Synthetic Task-Oriented Dialogues
by: Medjad, Maya, et al.
Published: (2025)

What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models
by: Yun, Tian, et al.
Published: (2025)

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection
by: Yang, Tiankai, et al.
Published: (2025)

Efficient End-to-end Language Model Fine-tuning on Graphs
by: Xue, Rui, et al.
Published: (2023)

Deploying Multi-task Online Server with Large Language Model
by: Qu, Yincen, et al.
Published: (2024)

Large Language Model as a Universal Clinical Multi-task Decoder
by: Wu, Yujiang, et al.
Published: (2024)

Synergy: End-to-end Concept Model
by: Zheng, Keli, et al.
Published: (2025)

E2E-AFG: An End-to-End Model with Adaptive Filtering for Retrieval-Augmented Generation
by: Jiang, Yun, et al.
Published: (2024)

A Unified Assessment of the Poverty of the Stimulus Argument for Neural Language Models
by: Yang, Xiulin, et al.
Published: (2026)

Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models
by: Zhou, Kevin, et al.
Published: (2025)

The End of Manual Decoding: Towards Truly End-to-End Language Models
by: Wang, Zhichao, et al.
Published: (2025)

SciDER: Scientific Data-centric End-to-end Researcher
by: Lin, Ke, et al.
Published: (2026)

CLEAR: A Comprehensive Linguistic Evaluation of Argument Rewriting by Large Language Models
by: Huber, Thomas, et al.
Published: (2025)

Language Model Inversion through End-to-End Differentiation
by: Denamganaï, Kevin Yandoka, et al.
Published: (2026)

Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models
by: Zhan, Zaifu, et al.
Published: (2024)

Assisted Debate Builder with Large Language Models
by: Faugier, Elliot, et al.
Published: (2024)

Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning
by: Zhao, Hang, et al.
Published: (2024)

End-to-End Graph Flattening Method for Large Language Models
by: Hong, Bin, et al.
Published: (2024)

End-To-End Clinical Trial Matching with Large Language Models
by: Ferber, Dyke, et al.
Published: (2024)

On-device System of Compositional Multi-tasking in Large Language Models
by: Bohdal, Ondrej, et al.
Published: (2025)

Efficient Compositional Multi-tasking for On-device Large Language Models
by: Bohdal, Ondrej, et al.
Published: (2025)

PokerGPT: An End-to-End Lightweight Solver for Multi-Player Texas Hold'em via Large Language Model
by: Huang, Chenghao, et al.
Published: (2024)

Understanding Enthymemes in Argument Maps: Bridging Argument Mining and Logic-based Argumentation
by: Ben-Naim, Jonathan, et al.
Published: (2024)

Can One-sided Arguments Lead to Response Change in Large Language Models?
by: Cisneros-Velarde, Pedro
Published: (2026)

ArgLLM-App: An Interactive System for Argumentative Reasoning with Large Language Models
by: Dejl, Adam, et al.
Published: (2026)

CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias
by: Gupta, Vipul, et al.
Published: (2023)

Using Large Language Model for End-to-End Chinese ASR and NER
by: Li, Yuang, et al.
Published: (2024)

LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
by: Rodriguez, Pau, et al.
Published: (2025)

Multi-Agent Dialectical Refinement for Enhanced Argument Classification
by: Bąba, Jakub, et al.
Published: (2026)

Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
by: Lu, Miao, et al.
Published: (2025)

Multi-task Code LLMs: Data Mix or Model Merge?
by: Zhu, Mingzhi, et al.
Published: (2026)

A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning
by: Peng, Cheng, et al.
Published: (2025)

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning
by: Wang, Shuai, et al.
Published: (2026)

MultiLS: A Multi-task Lexical Simplification Framework
by: North, Kai, et al.
Published: (2024)

Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Models
by: Yeginbergen, Anar, et al.
Published: (2025)

Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language Models
by: Ohi, Masanari, et al.
Published: (2024)

STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator
by: Sordo, Alessio, et al.
Published: (2026)

Are Large Language Models Reliable Argument Quality Annotators?
by: Mirzakhmedova, Nailia, et al.
Published: (2024)

MiCU: End-to-End Smart Home Command Understanding with Large Language Model
by: Han, Haowei, et al.
Published: (2026)