Kaixiang Lin
10 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (25)
π
Conference Polyglot
(7)
π
Academic Marathon
(5)
π
Renaissance Researcher
(6)
π
Grand Slam
π
Century Club
(10)
π₯
Unstoppable
(6)
β
The Questioner
Conferences
EMNLP (3)
ICLR (2)
AAAI (1)
ACL (1)
ICML (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
large language model
(3)
imitation learning
(2)
zero-shot learning
(1)
few-shot learning
(1)
in-context learning
(1)
anomaly detection
(1)
sequential decision making
(1)
task-oriented dialogue
(1)
self-supervised learning
(1)
knowledge distillation
(1)
text classification
(1)
conversational ai
(1)
prompt engineering
(1)
code generation
(1)
sample efficiency
(1)
model merging
(1)
feature representation
(1)
instruction tuning
(1)
distribution matching
(1)
reinforcement learning
(1)
Papers
Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs
EMNLP 2025
Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet Agents
ICML 2025
Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
ICLR 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
Ranking Policy Gradient
ICLR 2020
Off-Policy Imitation Learning from Observations
NIPS 2020