Ed Chi
17 papers · 2018–2024 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
🏃 Academic Marathon (6) 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (8)
🌈
Renaissance Researcher
(7)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(6)
📛
The Namer
🔥
Unstoppable
(7)
💎
Century Club
(17)
⚡
Prolific Year
(5)
❓
The Questioner
🗃️
Keyword Collector
(78)
Conferences
NIPS (7)
EMNLP (3)
AISTATS (2)
ICLR (2)
ACL (1)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
large language model
(3)
adversarial learning
(2)
counterfactual data augmentation
(2)
model robustness
(2)
multi-task learning
(2)
spurious correlation
(2)
transfer learning
(2)
domain generalization
(1)
collaborative filtering
(1)
policy optimization
(1)
policy gradient
(1)
text classification
(1)
knowledge distillation
(1)
prompt engineering
(1)
few-shot learning
(1)
feature embedding
(1)
toxicity detection
(1)
sentiment classification
(1)
adversarial training
(1)
chain-of-thought reasoning
(1)
Papers
Aligning Large Language Models with Recommendation Knowledge
NAACL 2024
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation
EMNLP 2023
Recommender Systems with Generative Retrieval
NIPS 2023
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
NIPS 2023
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
ACL 2023
Improving Multi-Task Generalization via Regularizing Spurious Correlation
NIPS 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
NIPS 2022
Can We Improve Model Robustness through Secondary Attribute Counterfactuals?
EMNLP 2021
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model
AISTATS 2021
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
NIPS 2021
Batch Reinforcement Learning Through Continuation Method
ICLR 2021
Improving Calibration through the Relationship with Adversarial Robustness
NIPS 2021
Fairness without Demographics through Adversarially Reweighted Learning
NIPS 2020
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
EMNLP 2020
BRPO: Batch Residual Policy Optimization
IJCAI 2020
Efficient Training on Very Large Corpora via Gramian Estimation
ICLR 2019
Factorized Recurrent Neural Architectures for Longer Range Dependence
AISTATS 2018