Ed H. Chi
15 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (6) π Conference Polyglot (6) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (21)
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Conference Polyglot
(6)
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Academic Marathon
(6)
π£
Hot Topic Early Bird
π₯
Mega-Team
(35)
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Grand Slam
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Triple Crown
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Century Club
(15)
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Conference Pioneer
β‘
Prolific Year
(6)
Conferences
ICLR (5)
ICML (5)
ACL (2)
AAAI (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
large language model
(3)
multi-task learning
(2)
transfer learning
(1)
hierarchical planning
(1)
model architecture
(1)
parameter sharing
(1)
language model
(1)
exploration strategy
(1)
recommendation system
(1)
model scaling
(1)
user feedback
(1)
parameter efficiency
(1)
complex reasoning
(1)
computation efficiency
(1)
prompt tuning
(1)
recommender system
(1)
user preference
(1)
routing network
(1)
prompting technique
(1)
arithmetic reasoning
(1)
Papers
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
ACL 2025
ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
ICML 2025
EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration
ICML 2025
Scaling Instruction-Finetuned Language Models
JMLR 2024
Leveraging LLM Reasoning Enhances Personalized Recommender Systems
ACL 2024
Large Language Models as Analogical Reasoners
ICLR 2024
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
ICLR 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
ICML 2024
SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures
NIPS 2024
Large Language Models Can Be Easily Distracted by Irrelevant Context
ICML 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models
ICLR 2023
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
ICLR 2023
HyperPrompt: Prompt-based Task-Conditioning of Transformers
ICML 2022
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning
AAAI 2019
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
ICLR 2019