Mario Giulianelli

Orcid: 0009-0004-1281-9686

According to our database1, Mario Giulianelli authored at least 20 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
LLM Agents in Interaction: Measuring Personality Consistency and Linguistic Alignment in Interacting Populations of Large Language Models.
CoRR, 2024

2023
A taxonomy and review of generalization research in NLP.
Nat. Mac. Intell., October, 2023

Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Attribution and Alignment: Effects of Local Context Repetition on Utterance Production and Comprehension in Dialogue.
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
State-of-the-art generalisation research in NLP: a taxonomy and review.
CoRR, 2022

AnaLog: Testing Analytical and Deductive Logic Learnability in Language Models.
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022

Construction Repetition Reduces Information Rate in Dialogue.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Towards Pragmatic Production Strategies for Natural Language Generation Tasks.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Do Not Fire the Linguist: Grammatical Profiles Help Language Models Detect Semantic Change.
Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, 2022

2021
Is Information Density Uniform in Task-Oriented Dialogues?
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Grammatical Profiling for Semantic Change Detection.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

Analysing Human Strategies of Information Transmission as a Function of Discourse Context.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

2020
UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Analysing Lexical Semantic Change with Contextualised Word Representations.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

2017
Semi-supervised emotion lexicon expansion with label propagation and specialized word embeddings.
CoRR, 2017


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