Bryan Wilie

According to our database1, Bryan Wilie authored at least 24 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
LLM Internal States Reveal Hallucination Risk Faced With a Query.
CoRR, 2024

High-Dimension Human Value Representation in Large Language Models.
CoRR, 2024

Belief Revision: The Adaptability of Large Language Models Reasoning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue Systems.
CoRR, 2023

PICK: Polished & Informed Candidate Scoring for Knowledge-Grounded Dialogue Systems.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Contrastive Learning for Inference in Dialogue.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023


2022
NusaCrowd: Open Source Initiative for Indonesian NLP Resources.
CoRR, 2022

RHO ($ρ$): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding.
CoRR, 2022

Every picture tells a story: Image-grounded controllable stylistic story generation.
CoRR, 2022

NusaCrowd: A Call for Open and Reproducible NLP Research in Indonesian Languages.
CoRR, 2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.
CoRR, 2022

Clozer": " Adaptable Data Augmentation for Cloze-style Reading Comprehension.
Proceedings of the 7th Workshop on Representation Learning for NLP, 2022

Integrating Question Rewrites in Conversational Question Answering: A Reinforcement Learning Approach.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022

How Long Is Enough? Exploring the Optimal Intervals of Long-Range Clinical Note Language Modeling.
Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022

Can Question Rewriting Help Conversational Question Answering?
Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.
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CoRR, 2021

Greenformer: Factorization Toolkit for Efficient Deep Neural Networks.
CoRR, 2021

IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020


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