Yi-An Lai
10 papers · 2017–2025 · 5 venues · across top CS/AI venues
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Machine Learning
(8)
Natural Language Processing
(5)
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(5)
Deep Learning
(4)
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(3)
Learning Types Β· Machine Learning
(3)
Resources & Methods
(3)
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(2)
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(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
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(1)
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(1)
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(1)
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knowledge distillation
(3)
backward compatibility
(3)
model update
(2)
model ensemble
(2)
pre-trained language model
(2)
graph representation learning
(1)
structured prediction
(1)
link prediction
(1)
masked language model
(1)
semantic parsing
(1)
dependency parsing
(1)
task-oriented dialogue
(1)
intent classification
(1)
community detection
(1)
domain adaptation
(1)
reward function
(1)
learning to rank
(1)
syntactic parsing
(1)
regression analysis
(1)
reinforcement learning from human feedback
(1)
Papers
DeAL: Decoding-time Alignment for Large Language Models
ACL 2025
Backward Compatibility During Data Updates by Weight Interpolation
EACL 2024
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion
EACL 2023
Measuring and Reducing Model Update Regression in Structured Prediction for NLP
NeurIPS 2022
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
ACL 2022
Efficient Domain Adaptation of Language Models via Adaptive Tokenization
EMNLP 2021
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates
ACL 2021
Context Analysis for Pre-trained Masked Language Models
EMNLP 2020
Goal-Embedded Dual Hierarchical Model for Task-Oriented Dialogue Generation
CoNLL 2019
PRUNE: Preserving Proximity and Global Ranking for Network Embedding
NeurIPS 2017