Yunhua Zhou
20 papers · 2022–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Cross-Pollinator (7) πΊοΈ Taxonomy Completionist (40) π§ Keyword Pioneer π Interdisciplinary Bridge
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Dynamic Duo
(18)
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Keyword Collector
(98)
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The Questioner
(2)
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Prolific Year
(6)
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Century Club
(19)
Conferences
ACL (10)
EMNLP (4)
ICLR (3)
AAAI (1)
COLING (1)
ICML (1)
Top co-authors
Keywords
large language model
(5)
intent classification
(4)
out-of-domain detection
(3)
contrastive learning
(2)
out-of-domain intent classification
(2)
task-oriented dialogue
(2)
ensemble learning
(1)
data augmentation
(1)
model selection
(1)
knowledge distillation
(1)
attention mechanism
(1)
relation extraction
(1)
speech recognition
(1)
information extraction
(1)
image generation
(1)
confidence calibration
(1)
code generation
(1)
self-supervised learning
(1)
expectation maximization
(1)
named entity recognition
(1)
Papers
Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment
ACL 2026
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
ACL 2025
Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law
ACL 2025
Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures
ICLR 2025
BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments
ICLR 2025
Firewall Routing: Blocking Leads to Better Hybrid Inference for LLMs
EMNLP 2025
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
ICLR 2025
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification
COLING 2024
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
ACL 2024
Code Needs Comments: Enhancing Code LLMs with Comment Augmentation
ACL 2024
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
AAAI 2024
Turn Waste into Worth: Rectifying Top-k Router of MoE
EMNLP 2024
Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk
EMNLP 2024
UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction
ACL 2023
Towards Open Environment Intent Prediction
ACL 2023
Two Birds One Stone: Dynamic Ensemble for OOD Intent Classification
ACL 2023
A Probabilistic Framework for Discovering New Intents
ACL 2023
What Dense Graph Do You Need for Self-Attention?
ICML 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models
EMNLP 2022
KNN-Contrastive Learning for Out-of-Domain Intent Classification
ACL 2022