Ed H. Chi
15 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Artificial Intelligence
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Machine Learning
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Deep Learning
(6)
Natural Language Processing
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(5)
Resources & Methods
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Reinforcement Learning
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Keywords
language model
(3)
large language model
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chain-of-thought prompting
(2)
few-shot learning
(2)
multi-task learning
(2)
arithmetic reasoning
(2)
prompt engineering
(1)
exploration
(1)
mathematical reasoning
(1)
parameter sharing
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compositional generalization
(1)
bandits
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generalization
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regret
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hierarchical planning
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exploration strategy
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model architecture
(1)
recurrent neural network
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instruction fine-tuning
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dynamical system
(1)
Papers
ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
ICML 2025
EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration
ICML 2025
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
ACL 2025
Large Language Models as Analogical Reasoners
ICLR 2024
Leveraging LLM Reasoning Enhances Personalized Recommender Systems
ACL 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
ICML 2024
Scaling Instruction-Finetuned Language Models
JMLR 2024
SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures
NeurIPS 2024
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
ICLR 2024
Large Language Models Can Be Easily Distracted by Irrelevant Context
ICML 2023
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
ICLR 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models
ICLR 2023
HyperPrompt: Prompt-based Task-Conditioning of Transformers
ICML 2022
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
ICLR 2019
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning
AAAI 2019