Kaixiang Lin
10 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Achievements
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Keyword Collector
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Research topics
Artificial Intelligence
(7)
Machine Learning
(6)
Core AI
(6)
Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Natural Language Processing
(3)
Reinforcement Learning
(3)
Learning Types Β· Deep Learning
(3)
Methods
(3)
Models
(3)
Generation
(2)
Resources & Methods
(2)
Computer Vision
(1)
Analysis
(1)
Application Areas
(1)
Keywords
large language model
(3)
off-policy learning
(2)
reinforcement learning
(2)
imitation learning
(2)
zero-shot learning
(2)
conversational ai
(1)
knowledge distillation
(1)
anomaly detection
(1)
self-supervised learning
(1)
sequential decision making
(1)
few-shot learning
(1)
in-context learning
(1)
policy gradient
(1)
prompt engineering
(1)
code generation
(1)
sample complexity
(1)
task-oriented dialogue
(1)
model merging
(1)
feature representation
(1)
text classification
(1)
Papers
Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
ICLR 2025
Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet Agents
ICML 2025
Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs
EMNLP 2025
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk
ACL 2024
Socratic Human Feedback (SoHF): Expert Steering Strategies for LLM Code Generation
EMNLP 2024
Automated Few-Shot Classification with Instruction-Finetuned Language Models
EMNLP 2023
Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations
AAAI 2022
RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection
IJCAI 2021
Off-Policy Imitation Learning from Observations
NeurIPS 2020
Ranking Policy Gradient
ICLR 2020