Yu-Neng Chuang
16 papers · 2020–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π€
Dynamic Duo
(14)
π§¬
Topic Evolution
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(83)
Top co-authors
Research topics
Artificial Intelligence
(15)
Core AI
(15)
Machine Learning
(9)
Natural Language Processing
(6)
Application Areas
(5)
Deep Learning
(4)
Learning Types
(4)
Resources & Methods
(4)
Core Methods
(3)
Models
(3)
Optimization & Theory Β· Deep Learning
(3)
Generation
(2)
Optimization & Theory Β· Machine Learning
(2)
Data Science & Analytics
(1)
Security & Privacy
(1)
Keywords
large language model
(10)
prompt compression
(2)
model explanation
(2)
model security
(2)
model compression
(2)
confidence calibration
(1)
few-shot learning
(1)
representation learning
(1)
natural language generation
(1)
attention mechanism
(1)
question answering
(1)
text generation
(1)
benchmark evaluation
(1)
privacy preservation
(1)
feature attribution
(1)
model calibration
(1)
model merging
(1)
text style transfer
(1)
pretraining
(1)
instruction following
(1)
Papers
FaithLM: Towards Faithful Explanations for Large Language Models
EACL 2026
A Decoupled Multi-Agent Framework for Complex Text Style Transfer
EMNLP 2025
DHP Benchmark: Are LLMs Good NLG Evaluators?
NAACL 2025
Learning to Route LLMs with Confidence Tokens
ICML 2025
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem
EMNLP 2025
Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models
ACL 2025
ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks
ACL 2025
Self-Ensemble: Mitigating Confidence Distortion for Large Language Models
EMNLP 2025
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches
EMNLP 2024
Learning to Compress Prompt in Natural Language Formats
NAACL 2024
Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models
NAACL 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
EMNLP 2024
TVE: Learning Meta-attribution for Transferable Vision Explainer
ICML 2024
CoRTX: Contrastive Framework for Real-time Explanation
ICLR 2023
Accelerating Shapley Explanation via Contributive Cooperator Selection
ICML 2022
Skewness Ranking Optimization for Personalized Recommendation
UAI 2020