Jiefeng Chen
13 papers · 2018–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Conference Polyglot (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
πΊοΈ
Taxonomy Completionist
(24)
π
Interdisciplinary Bridge
π€
Dynamic Duo
(10)
β
The Questioner
β‘
Prolific Year
(5)
π₯
Unstoppable
(8)
π
Century Club
(12)
Conferences
ICML (5)
ICLR (3)
ACL (2)
NIPS (2)
EMNLP (1)
Top co-authors
Keywords
adversarial training
(3)
integrated gradient
(2)
adversarial robustness
(2)
large language model
(2)
neural network
(2)
neural network interpretability
(1)
feature attribution
(1)
nearest neighbor search
(1)
distribution shift
(1)
selective classification
(1)
selective prediction
(1)
deep neural network
(1)
out-of-distribution detection
(1)
parameter-efficient tuning
(1)
attribution method
(1)
trustworthy machine learning
(1)
external knowledge
(1)
knowledge conflict
(1)
model confidence
(1)
internal knowledge
(1)
Papers
DocLens: A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding
ACL 2026
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
ACL 2025
Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection
ICML 2024
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
ICLR 2023
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
EMNLP 2023
Is Forgetting Less a Good Inductive Bias for Forward Transfer?
ICLR 2023
Stratified Adversarial Robustness with Rejection
ICML 2023
Concept-based Explanations for Out-of-Distribution Detectors
ICML 2023
Towards Evaluating the Robustness of Neural Networks Learned by Transduction
ICLR 2022
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
NIPS 2021
Concise Explanations of Neural Networks using Adversarial Training
ICML 2020
Robust Attribution Regularization
NIPS 2019
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training
ICML 2018