Hung Le

Affiliations:
  • Amazon
  • Salesforce Research Asia, Singapore
  • Singapore Management University, School of Information System, Living Analytics Research Centre (LARC), Singapore (PhD 2022)
  • Institute for Infocomm Research, Singapore


According to our database1, Hung Le authored at least 25 papers between 2018 and 2025.

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

Timeline

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Online presence:

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Bibliography

2025
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM.
CoRR, 2023

C3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

CodeT5+: Open Code Large Language Models for Code Understanding and Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

LAVIS: A One-stop Library for Language-Vision Intelligence.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022
LAVIS: A Library for Language-Vision Intelligence.
CoRR, 2022

OmniXAI: A Library for Explainable AI.
CoRR, 2022

CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multimodal Dialogue State Tracking.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
C<sup>3</sup>: Compositional Counterfactual Constrastive Learning for Video-grounded Dialogues.
CoRR, 2021

VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks.
CoRR, 2021

Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues.
Proceedings of the 9th International Conference on Learning Representations, 2021

DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Hierarchical multimodal attention for end-to-end audio-visual scene-aware dialogue response generation.
Comput. Speech Lang., 2020

Multimodal Transformer with Pointer Network for the DSTC8 AVSD Challenge.
CoRR, 2020

Non-Autoregressive Dialog State Tracking.
Proceedings of the 8th International Conference on Learning Representations, 2020

UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Video-Grounded Dialogues with Pretrained Generation Language Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection.
CoRR, 2018


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