Daniel Lee
23 papers · 1999–2026 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 39% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Daniel Lee?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Yunyao Li, Simone Conia, Min Li
9 papers
· 2023–2025
· EMNLP, AAAI, COLING
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Evaluation and Incident Prevention in an Enterprise AI Assistant
AAAI 2025
KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphs
COLING 2025
MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering
COLING 2025
Rewind and Render: Towards Factually Accurate Text-to-Video Generation with Distilled Knowledge Retrieval
AAAI 2025
ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models
EMNLP 2024
Enhancing Machine Translation Experiences with Multilingual Knowledge Graphs
AAAI 2024
RETAIN: Interactive Tool for Regression Testing Guided LLM Migration
EMNLP 2024
Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs
EMNLP 2024
Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs
EMNLP 2023
10 papers whose co-authors appear nowhere else under this name
From Measurement to Mitigation: Quantifying and Reducing Identity Leakage in Image Representation Encoders with Linear Subspace Removal
CVPR 2026
Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices
AISTATS 2025
Heavy-tailed Estimation is Easier than Adversarial Contamination
COLT 2025
Team ACK at SemEval-2025 Task 2: Beyond Word-for-Word Machine Translation for English-Korean Pairs
SemEval 2025
Optimizing Resource Allocation in Hyperscale Datacenters: Scalability, Usability, and Experiences
OSDI 2024
From Pseudorandomness to Multi-Group Fairness and Back
COLT 2023
Reward Prediction Error as an Exploration Objective in Deep RL
IJCAI 2020
Fluid Dynamics Models for Low Rank Discriminant Analysis
AISTATS 2010
Learning Sparse Markov Network Structure via Ensemble-of-Trees Models
AISTATS 2005
Large-Margin Classification in Banach Spaces
AISTATS 1999