Yihang Wang
8 papers · 2024–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(4)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(13)
⚡
Prolific Year
(5)
Conferences
ACL (2)
ICLR (2)
ICML (2)
COLING (1)
EMNLP (1)
Top co-authors
Keywords
large language model
(2)
direct preference optimization
(1)
in-context learning
(1)
efficient inference
(1)
generative retrieval
(1)
cosine similarity
(1)
toxicity reduction
(1)
context compression
(1)
domain-specific fine-tuning
(1)
embedding quantization
(1)
question answer generation
(1)
unsupervised evaluation metric
(1)
metric-based sampler
(1)
hyperspherical householder quantization
(1)
soft contrastive decoding
(1)
hierarchical semantic-preserving detoxification
(1)
toxic span rewriting
(1)
information bottleneck
(1)
corpus-level detoxification
(1)
Papers
Detoxification for LLM: From Dataset Itself
ACL 2026
Distilling Large Embeddings via Hyperspherical Householder Quantization
ACL 2026
CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
ICLR 2025
MDPO: Customized Direct Preference Optimization with a Metric-based Sampler for Question and Answer Generation
COLING 2025
Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer
ICML 2025
LightGTS: A Lightweight General Time Series Forecasting Model
ICML 2025
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory
EMNLP 2025
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
ICLR 2024