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Hung Le — most-cited papers & profile · Large Language Models
← authors
·
overview
Hung Le
46
papers ·
412
citations ·
21
h-index
Japan Advanced Institute of Science and Technology
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Most-cited papers
INDICT: Code Generation With Internal Dialogues Of Critiques For Both Security And Helpfulness
2024 · 7 citations
Automatic Prompt Selection for Large Language Models
2024 · 1 citations
LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models
2026
Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
2025
CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning
2025
Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models
2025
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
2023
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
2023
Top co-authors
Dung Nguyen
· 3
Dai Do
· 2
Minh Hoang Nguyen
· 2
Akash Gokul
· 1
Akhilesh Deepak Gotmare
· 1
Amrita Saha
· 1
and Svetha Venkatesh
· 1
Caiming Xiong
· 1
Doyen Sahoo
· 1
Duy-Hung Nguyen
· 1
Hailin Chen
· 1
Hajime Hotta
· 1
Topics
Code
Evaluation
Efficiency
Prompting
Safety & Alignment
Fine-Tuning
Reinforcement Learning
models
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