Rui Hou
26 papers · 2017–2025 · 12 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (12) π Academic Marathon (8) πΊοΈ Taxonomy Completionist (53)
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Conference Polyglot
(12)
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Academic Marathon
(8)
π₯
Mega-Team
(21)
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Conference Pioneer
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Century Club
(26)
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Keyword Collector
(89)
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Prolific Year
(9)
Conferences
EMNLP (5)
NAACL (5)
ICLR (4)
ACL (3)
CVPR (2)
AAAI (1)
AACL (1)
ACML (1)
COLING (1)
ICCV (1)
IJCNLP (1)
WACV (1)
Top co-authors
Keywords
pre-trained language model
(6)
transfer learning
(5)
language model
(4)
knowledge distillation
(3)
large language model
(3)
model compression
(3)
contrastive learning
(2)
prompt tuning
(2)
few-shot learning
(2)
parameter-efficient tuning
(2)
instruction tuning
(2)
object detection
(2)
feature extraction
(1)
pose estimation
(1)
multi-task learning
(1)
model selection
(1)
image segmentation
(1)
self-attention mechanism
(1)
model robustness
(1)
semantic segmentation
(1)
Papers
Self-Generated Critiques Boost Reward Modeling for Language Models
NAACL 2025
A Systematic Examination of Preference Learning through the Lens of Instruction-Following
NAACL 2025
SCE: Semantic Consistency Enhanced Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning
EMNLP 2025
Law of the Weakest Link: Cross Capabilities of Large Language Models
ICLR 2025
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models
ICLR 2025
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
AAAI 2024
Multi-level Relational Learning with Synergistic Graphs for Multivariate Time Series Forecasting
ACML 2024
Synergetic Interaction Network with Cross-task Attention for Joint Relational Triple Extraction
COLING 2024
Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model
CVPR 2024
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming
NAACL 2024
Effective Long-Context Scaling of Foundation Models
NAACL 2024
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training
EMNLP 2023
Co-training and Co-distillation for Quality Improvement and Compression of Language Models
EMNLP 2023
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models
ACL 2023
Residual Prompt Tuning: improving prompt tuning with residual reparameterization
ACL 2023
Query Rewriting for Effective Misinformation Discovery
IJCNLP 2023
Query Rewriting for Effective Misinformation Discovery
AACL 2023
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models
EMNLP 2023
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix
EMNLP 2023
Progressive Prompts: Continual Learning for Language Models
ICLR 2023
IDPG: An Instance-Dependent Prompt Generation Method
NAACL 2022
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
ACL 2022
Real-Time Panoptic Segmentation From Dense Detections
CVPR 2020
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
ICLR 2020
Measuring the Utilization of Public Open Spaces by Deep Learning: a Benchmark Study at the Detroit Riverfront
WACV 2020
Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos
ICCV 2017