P. P. Manakul

According to our database1, P. P. Manakul authored at least 24 papers between 2019 and 2024.

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

Timeline

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Links

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Bibliography

2024
SkillAggregation: Reference-free LLM-Dependent Aggregation.
CoRR, 2024

Enhancing Low-Resource Language and Instruction Following Capabilities of Audio Language Models.
CoRR, 2024

CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models.
CoRR, 2024

Efficient Overshadowed Entity Disambiguation by Mitigating Shortcut Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

An Empirical Study of Multilingual Reasoning Distillation for Question Answering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

McCrolin: Multi-consistency Cross-lingual Training for Retrieval Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Typhoon: Thai Large Language Models.
CoRR, 2023

Zero-shot NLG evaluation through Pairware Comparisons with LLMs.
CoRR, 2023

Can Generative Large Language Models Perform ASR Error Correction?
CoRR, 2023

MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization.
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

Mitigating Word Bias in Zero-shot Prompt-based Classifiers.
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022
Podcast Summary Assessment: A Resource for Evaluating Summary Assessment Methods.
CoRR, 2022

2021
Long-Span Dependencies in Transformer-based Summarization Systems.
CoRR, 2021

Attention Forcing for Machine Translation.
CoRR, 2021

Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Long-Span Summarization via Local Attention and Content Selection.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
CUED_SPEECH at TREC 2020 Podcast Summarisation Track.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Abstractive Spoken Document Summarization Using Hierarchical Model with Multi-Stage Attention Diversity Optimization.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019
Disfluency Detection for Spoken Learner English.
Proceedings of the 8th ISCA International Workshop on Speech and Language Technology in Education, 2019

Impact of ASR Performance on Spoken Grammatical Error Detection.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Automatic Grammatical Error Detection of Non-native Spoken Learner English.
Proceedings of the IEEE International Conference on Acoustics, 2019


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