Jun Bai
11 papers · 2021–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (34) π Conference Polyglot (5) π Academic Marathon (5) π§ Keyword Pioneer
π§
Keyword Pioneer
β‘
Prolific Year
(5)
π
Century Club
(10)
β
The Questioner
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(56)
Conferences
EMNLP (6)
AAAI (1)
ACL (1)
COLING (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
large language model
(3)
model selection
(2)
transferability estimation
(2)
representation learning
(2)
pre-trained language model
(2)
variational inference
(2)
knowledge editing
(1)
mathematical reasoning
(1)
few-shot learning
(1)
text generation
(1)
information retrieval
(1)
query reformulation
(1)
semantic representation
(1)
machine unlearning
(1)
language model
(1)
question answering
(1)
variational autoencoder
(1)
latent representation
(1)
generative model
(1)
dense retrieval
(1)
Papers
Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models
AAAI 2026
Reinforced Query Reasoners for Reasoning-intensive Retrieval Tasks
EMNLP 2025
Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching
ACL 2025
Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment
COLING 2025
CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models
EMNLP 2025
Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs
EMNLP 2025
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking
EMNLP 2024
FedInverse: Evaluating Privacy Leakage in Federated Learning
ICLR 2024
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey
EMNLP 2023
Improving Variational Autoencoders with Density Gap-based Regularization
NIPS 2022
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval
EMNLP 2021