Yu-Neng Chuang
16 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Academic Marathon (5) π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(25)
π
Interdisciplinary Bridge
π€
Dynamic Duo
(13)
β
The Questioner
(2)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(68)
π
Century Club
(15)
π₯
Unstoppable
(5)
Conferences
EMNLP (5)
ICML (3)
NAACL (3)
ACL (2)
EACL (1)
ICLR (1)
UAI (1)
Top co-authors
Research topics
Keywords
large language model
(9)
model compression
(2)
prompt compression
(2)
model security
(2)
ensemble learning
(1)
model calibration
(1)
benchmark evaluation
(1)
semantic similarity
(1)
question answering
(1)
text generation
(1)
confidence calibration
(1)
privacy preservation
(1)
instruction following
(1)
model merging
(1)
reward function
(1)
natural language generation
(1)
text style transfer
(1)
natural language
(1)
feature attribution
(1)
attention mechanism
(1)
Papers
FaithLM: Towards Faithful Explanations for Large Language Models
EACL 2026
ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks
ACL 2025
Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models
ACL 2025
Self-Ensemble: Mitigating Confidence Distortion for Large Language Models
EMNLP 2025
A Decoupled Multi-Agent Framework for Complex Text Style Transfer
EMNLP 2025
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem
EMNLP 2025
Learning to Route LLMs with Confidence Tokens
ICML 2025
DHP Benchmark: Are LLMs Good NLG Evaluators?
NAACL 2025
Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models
NAACL 2024
TVE: Learning Meta-attribution for Transferable Vision Explainer
ICML 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
EMNLP 2024
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
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