Xiaoqiang Lin
13 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14)
🐝
Cross-Pollinator
(14)
🌍
Conference Polyglot
(5)
🤝
Dynamic Duo
(12)
💎
Century Club
(13)
⚡
Prolific Year
(7)
❓
The Questioner
(2)
Conferences
ICML (5)
NIPS (3)
EMNLP (2)
ICLR (2)
IJCAI (1)
Top co-authors
Keywords
large language model
(3)
in-context learning
(3)
prompt optimization
(2)
language model
(2)
knowledge transfer
(1)
prompt engineering
(1)
gaussian process
(1)
collaborative learning
(1)
exemplar selection
(1)
inverse problem
(1)
incentive design
(1)
recurrent neural network
(1)
zeroth-order optimization
(1)
scaling law
(1)
influence function
(1)
demonstration attribution
(1)
local optima
(1)
graph convolutional network
(1)
triplet loss
(1)
local optimum
(1)
Papers
NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric
ICML 2025
Uncovering Scaling Laws for Large Language Models via Inverse Problems
EMNLP 2025
Neural Dueling Bandits: Preference-Based Optimization with Human Feedback
ICLR 2025
Efficient Top-m Data Values Identification for Data Selection
ICLR 2025
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
ICML 2024
Distributionally Robust Data Valuation
ICML 2024
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
ICML 2024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
NIPS 2024
Localized Zeroth-Order Prompt Optimization
NIPS 2024
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
NIPS 2024
Position Paper: Data-Centric AI in the Age of Large Language Models
EMNLP 2024
Fair yet Asymptotically Equal Collaborative Learning
ICML 2023
Joint Representation Learning of Legislator and Legislation for Roll Call Prediction
IJCAI 2020