AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation | Paper Citation Record

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This paper cites On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games

Reference 1

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Observation 90a50191-c8a3-4377-a998-95676d89e36d · outbound

This paper cites An introduction to argumentation semantics.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation An introduction to argumentation semantics

Reference 2

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Observation 8d0e0684-5094-4f96-90cf-65ee280b3ecd · outbound

This paper cites What can argumentation do for inconsistent ontology query answering? In Weiru Liu, V.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation What can argumentation do for inconsistent ontology query answering? In Weiru Liu, V

Reference 3

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Observation b8d60a19-ba8e-4f55-bec4-e6142eff3954 · outbound

This paper cites Representing pure nash equilibria in argumentation.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Representing pure nash equilibria in argumentation

Reference 4

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Observation e6b00c8c-6aaa-4fb4-a335-ba1f9d90c2c7 · outbound

This paper cites On the bipolarity in argumentation frameworks.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation On the bipolarity in argumentation frameworks

Reference 5

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This paper cites Gradual semantics for weighted bipolar setafs.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Gradual semantics for weighted bipolar setafs

Reference 6

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Observation 60230701-9c8c-46d0-bd29-294e3896b4c6 · outbound

This paper cites Computing preferred extensions for argumentation systems with sets of attacking arguments.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Computing preferred extensions for argumentation systems with sets of attacking arguments

Reference 7

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Observation 8fd5ea39-f6cd-43a3-ac12-29510d6af9b0 · outbound

This paper cites Sets of attacking arguments for inconsistent datalog knowledge bases.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Sets of attacking arguments for inconsistent datalog knowledge bases

Reference 8

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Observation a8996805-ee51-4438-b446-41dcc2ae2c4b · outbound

This paper cites Evaluation of argument strength in attack graphs: Foundations and semantics.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Evaluation of argument strength in attack graphs: Foundations and semantics

Reference 9

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Observation 689800f4-584e-41ab-a06b-3731b90fed51 · outbound

This paper cites Ranking-based semantics for sets of attacking arguments.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Ranking-based semantics for sets of attacking arguments

Reference 10

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Observation 3aaf6fea-410e-41b9-a180-d283cda6c6cf · outbound

This paper cites Using arguments for making and explaining decisions.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Using arguments for making and explaining decisions

Reference 11

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Observation 5eb9f84b-61a4-4817-8fc6-5a7c6f18f080 · outbound

This paper cites Argument mining: A survey.

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

Reference 12

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Observation 994de3d0-ba68-4f6e-8f35-167ec9e72f6a · outbound

This paper cites When automated fact-checking meets argumentation: Unveiling fake news through argumentative evidence.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation When automated fact-checking meets argumentation: Unveiling fake news through argumentative evidence

Reference 13

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Observation ce045601-4376-455f-9c4c-79ae709ab436 · outbound

This paper cites Using argumentation theory to fight misinformation.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Using argumentation theory to fight misinformation

Reference 14

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This paper cites Argument Mining with Structured SVMs and RNNs.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Argument Mining with Structured SVMs and RNNs

Reference 15

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This paper cites Transformer-based argument mining for healthcare applications.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Transformer-based argument mining for healthcare applications

Reference 16

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Observation ba4fd3d0-769f-4200-b2ae-8ca7ca62e228 · outbound

This paper cites Can Large Language Models perform Relation-based Argument Mining?.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Can Large Language Models perform Relation-based Argument Mining?

Reference 17

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Observation 694013d8-fb8d-49da-8e23-461f95169a26 · outbound

This paper cites Assisted debate builder with large language models.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Assisted debate builder with large language models

Reference 18

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Observation ac01f4e5-2c3b-43a7-b881-f16e7ba4afe4 · outbound

This paper cites Argument mining with fine-tuned large language models.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Argument mining with fine-tuned large language models

Reference 19

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This paper cites ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation

Reference 20

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This paper cites Efficient Estimation of Word Representations in Vector Space.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Efficient Estimation of Word Representations in Vector Space

Reference 21

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This paper cites Language models are unsupervised multitask learners.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Language models are unsupervised multitask learners

Reference 22

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This paper cites Language Models are Few-Shot Learners.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Language Models are Few-Shot Learners

Reference 23

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This paper cites The Llama 3 Herd of Models.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation The Llama 3 Herd of Models

Reference 24

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

Reference 25

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This paper cites Qwen3 Technical Report.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Qwen3 Technical Report

Reference 26

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This paper cites GPT-4 Technical Report.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation GPT-4 Technical Report

Reference 27

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This paper cites Claude’s extended thinking.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Claude’s extended thinking

Reference 28

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Observation 3be7b13f-bfca-4eb4-8557-8a8e6b92ea01 · outbound

This paper cites Introducing cogito preview, 2025.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Introducing cogito preview, 2025

Reference 29

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This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 30

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AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation DeepSeek-V3 Technical Report

Reference 31

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This paper cites CBFKIT: A Control Barrier Function Toolbox for Robotics Applications.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation CBFKIT: A Control Barrier Function Toolbox for Robotics Applications

Reference 32

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This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 33

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This paper cites Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models

Reference 34

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This paper cites Thread of Thought Unraveling Chaotic Contexts.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Thread of Thought Unraveling Chaotic Contexts

Reference 35

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This paper cites Scaling instruction-finetuned language models.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Scaling instruction-finetuned language models

Reference 36

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This paper cites Lora: Low-rank adaptation of large language models.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Lora: Low-rank adaptation of large language models

Reference 37

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Observation 788ddc51-cce3-435c-83da-7a935520b947 · outbound

This paper cites Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale

Reference 38

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Observation 8be8056b-80e8-4f9d-a983-192a708aef9b · outbound

This paper cites Contextual interaction for argument post quality assessment.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Contextual interaction for argument post quality assessment

Reference 39

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Observation 74f4eec1-4552-4612-bcf9-0975073abf98 · outbound

This paper cites Computational argumentation quality assessment in natural language.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Computational argumentation quality assessment in natural language

Reference 40

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Observation 3c53cc88-92e8-4b27-9cb3-d40a83b62d8c · outbound

This paper cites Towards relation based argumentation mining.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Towards relation based argumentation mining

Reference 41

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This paper cites Classifying argumentative relations using logical mechanisms and argumentation schemes.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Classifying argumentative relations using logical mechanisms and argumentation schemes

Reference 42

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Observation 2cf7df82-137d-47b3-968d-7da209264ce5 · outbound

This paper cites Never retreat, never retract: Argumentation analysis for political speeches.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Never retreat, never retract: Argumentation analysis for political speeches

Reference 43

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This paper cites MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification

Reference 44

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This paper cites Argument-based detection and classifica- tion of fallacies in political debates.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Argument-based detection and classifica- tion of fallacies in political debates

Reference 45

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Observation 626514c4-d008-471f-a151-e6d27c656b25 · outbound

This paper cites Towards an argument mining pipeline transforming texts to argument graphs.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Towards an argument mining pipeline transforming texts to argument graphs

Reference 46

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Observation 6688147d-e8a6-42ff-8cd5-0fa067c463d3 · outbound

This paper cites End-to-end argument mining with cross- corpora multi-task learning.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation End-to-end argument mining with cross- corpora multi-task learning

Reference 47

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Observation 83a9e61c-cb8e-47f8-bea8-5aeb930ce205 · outbound

This paper cites Multi-Task Learning for Argumentation Mining in Low-Resource Settings.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Multi-Task Learning for Argumentation Mining in Low-Resource Settings

Reference 48

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Observation 9a36b518-dcd6-4755-8210-620943c4edf1 · outbound

This paper cites Dataset independent baselines for relation prediction in argument mining.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Dataset independent baselines for relation prediction in argument mining

Reference 49

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Observation fd9bf935-d605-4c09-a554-7282738ac551 · outbound

This paper cites Argument mining as a text-to- text generation task.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Argument mining as a text-to- text generation task

Reference 50

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This paper cites AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach

Reference 51

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This paper cites Assessing Open-Source Large Language Models on Argumentation Mining Subtasks.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Assessing Open-Source Large Language Models on Argumentation Mining Subtasks

Reference 52

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Observation 6f4cd9fc-36c5-476f-9763-2c9ef5a03648 · outbound

This paper cites Are large language models reliable argument quality annotators? In Conference on Advances in Robust Argumentation Machines, pages 129–146.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Are large language models reliable argument quality annotators? In Conference on Advances in Robust Argumentation Machines, pages 129–146

Reference 53

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Observation 09b94469-5120-4ace-817d-6003d0aca2d9 · outbound

This paper cites Detecting argumentative fallacies in the wild: Problems and limitations of large language models.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Detecting argumentative fallacies in the wild: Problems and limitations of large language models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:04:07.378637Z

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Observation ffdaadce-ff0a-4044-b44c-c1a1df87b4a7 · outbound

This paper cites CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-15T17:04:06.885705Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2b372617-654f-45ed-acd0-eac1b5ffae97 · outbound

This paper cites In-Context Learning and Fine-Tuning GPT for Argument Mining.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation In-Context Learning and Fine-Tuning GPT for Argument Mining

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-15T17:04:06.869903Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 592f3f53-9236-4f0d-a07b-ceb7c022473c · outbound

This paper cites Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T17:04:06.657399Z

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Observation 32466b3e-cb7c-48a5-8e0c-11a893bf14ee · outbound

This paper cites Back up your stance: Recognizing arguments in online discussions.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Back up your stance: Recognizing arguments in online discussions

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:04:07.365812Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 33db3d0b-5d44-4c36-89b7-d770210aab42 · outbound

This paper cites FEVER: a large-scale dataset for Fact Extraction and VERification.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation FEVER: a large-scale dataset for Fact Extraction and VERification

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T17:04:06.665726Z

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Unavailable: canonical work link unavailable.

Observation 168d2f80-59a7-40b6-9519-35ee82a36901 · outbound

This paper cites IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T17:04:06.669410Z

Source-reported events for the cited work

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Observation 97d61d0b-49f2-47f3-a75b-8b37303d9320 · outbound

This paper cites Stance classification of context-dependent claims.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Stance classification of context-dependent claims

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:04:07.352683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6d11e81c-dcd8-44b6-ac5c-fc0f1e9bb1a5 · outbound

This paper cites A benchmark dataset for automatic detection of claims and evidence in the context of controversial topics.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation A benchmark dataset for automatic detection of claims and evidence in the context of controversial topics

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:04:07.338144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 52bf50be-e2ed-4a34-a724-3507a667ddb0 · outbound

This paper cites Towards an argumentative content search engine using weak supervision.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Towards an argumentative content search engine using weak supervision

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:04:07.319678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 94715fa9-c1b8-41c5-8472-871012bf549c · outbound

This paper cites Will it blend? blending weak and strong labeled data in a neural network for argumentation mining.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Will it blend? blending weak and strong labeled data in a neural network for argumentation mining

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:04:07.302792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5e9159ea-eac0-41be-a0d5-94cf43f0d105 · outbound

This paper cites Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T17:04:06.688561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23b3f044-8816-41d0-ac0e-10c1045f156e · outbound

This paper cites An annotated corpus of argumentative microtexts.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation An annotated corpus of argumentative microtexts

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:04:07.285376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2edd7e33-8e43-4ea3-a335-4fb90343080c · outbound

This paper cites More or less controlled elicitation of argumentative text: Enlarging a microtext corpus via crowdsourcing.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation More or less controlled elicitation of argumentative text: Enlarging a microtext corpus via crowdsourcing

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:04:07.266120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 696bd555-18f5-4352-821a-cb16cbcb09ca · outbound

This paper cites Node: A benchmark of natural language arguments.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Node: A benchmark of natural language arguments

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:04:07.247890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 25addd79-d918-4f96-82b8-86a89538d707 · outbound

This paper cites Parsing argumentation structures in persuasive essays.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Parsing argumentation structures in persuasive essays

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T17:04:06.702674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d41606da-2cc4-4a52-be82-87ab9ef6ab12 · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T17:04:06.706446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b8b408f-17a3-47ec-91ab-9c6fc4d46c37 · outbound

This paper cites Arcee’s MergeKit: A toolkit for merging large language models.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Arcee’s MergeKit: A toolkit for merging large language models

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:04:07.222736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6e8bb927-8fe0-458a-b805-b761a3b09ac0 · outbound

This paper cites Editing Models with Task Arithmetic.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Editing Models with Task Arithmetic

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T17:04:06.714425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75074859-9105-4aed-86bc-0d3713fa8bf9 · outbound

This paper cites Ties-merging: Resolving interference when merging models.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Ties-merging: Resolving interference when merging models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T17:04:06.718140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f31ff4b2-1bd5-4010-85a3-1c660845a3d2 · outbound

This paper cites Language models are super mario: Absorbing abilities from homologous models as a free lunch.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Language models are super mario: Absorbing abilities from homologous models as a free lunch

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T17:04:06.722030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea136e85-0fc1-44c2-bb65-3457e1675ab1 · outbound

This paper cites DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T17:04:06.725869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd418a00-657d-445b-ad59-30efe4d4b045 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Rouge: A package for automatic evaluation of summaries

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T17:04:06.730581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 036f6b32-8813-4dd5-892a-00f782a25282 · outbound

This paper cites Meteor 1.3: Automatic metric for reliable optimization and evaluation of machine translation systems.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Meteor 1.3: Automatic metric for reliable optimization and evaluation of machine translation systems

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:04:07.177721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ecdf64c3-91ea-40de-8363-78f6f3c2f938 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation BERTScore: Evaluating Text Generation with BERT

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T17:04:06.737944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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