Akshat Shrivastava

According to our database1, Akshat Shrivastava authored at least 26 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Small But Funny: A Feedback-Driven Approach to Humor Distillation.
CoRR, 2024

2023
Augmenting text for spoken language understanding with Large Language Models.
CoRR, 2023

Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding.
CoRR, 2023

TreePiece: Faster Semantic Parsing via Tree Tokenization.
CoRR, 2023

Privately Customizing Prefinetuning to Better Match User Data in Federated Learning.
CoRR, 2023

ICASSP 2023 Spoken Language Understanding Grand Challenge.
Proceedings of the IEEE International Conference on Acoustics, 2023

Treepiece: Faster Semantic Parsing via Tree Tokenization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Introducing Semantics into Speech Encoders.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
CanarDeep: a hybrid deep neural model with mixed fusion for rumour detection in social data streams.
Neural Comput. Appl., 2022

Introducing Semantics into Speech Encoders.
CoRR, 2022

Data-Efficiency with a Single GPU: An Exploration of Transfer Methods for Small Language Models.
CoRR, 2022

STOP: A dataset for Spoken Task Oriented Semantic Parsing.
CoRR, 2022

Stop: A Dataset for Spoken Task Oriented Semantic Parsing.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Deliberation Model for On-Device Spoken Language Understanding.
Proceedings of the Interspeech 2022, 2022

RetroNLU: Retrieval Augmented Task-Oriented Semantic Parsing.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021
Assessing Data Efficiency in Task-Oriented Semantic Parsing.
CoRR, 2021

Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization.
CoRR, 2021

Low-Resource Task-Oriented Semantic Parsing via Intrinsic Modeling.
CoRR, 2021

Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Better Fine-Tuning by Reducing Representational Collapse.
Proceedings of the 9th International Conference on Learning Representations, 2021

Span Pointer Networks for Non-Autoregressive Task-Oriented Semantic Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Muppet: Massive Multi-task Representations with Pre-Finetuning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Conversational Semantic Parsing.
CoRR, 2020

iSeqL: interactive sequence learning.
Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

Conversational Semantic Parsing.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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