Saved in:
| Main Authors: | Liu, Dezhi, Zhang, Richong, Wang, Ziqiao |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2009.04413 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing
by: Li, Zhuoran, et al.
Published: (2025)
by: Li, Zhuoran, et al.
Published: (2025)
Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding
by: Feng, Xincan, et al.
Published: (2024)
by: Feng, Xincan, et al.
Published: (2024)
Activated Parameter Locating via Causal Intervention for Model Merging
by: Kong, Fanshuang, et al.
Published: (2024)
by: Kong, Fanshuang, et al.
Published: (2024)
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
by: Miao, Ziyang, et al.
Published: (2025)
by: Miao, Ziyang, et al.
Published: (2025)
LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning
by: Kong, Fanshuang, et al.
Published: (2024)
by: Kong, Fanshuang, et al.
Published: (2024)
Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings
by: Liu, David, et al.
Published: (2024)
by: Liu, David, et al.
Published: (2024)
Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding
by: Chen, Xin, et al.
Published: (2021)
by: Chen, Xin, et al.
Published: (2021)
Probe and Skip: Self-Predictive Token Skipping for Efficient Long-Context LLM Inference
by: Wu, Zimeng, et al.
Published: (2026)
by: Wu, Zimeng, et al.
Published: (2026)
Word Embeddings Are Steers for Language Models
by: Han, Chi, et al.
Published: (2023)
by: Han, Chi, et al.
Published: (2023)
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping
by: Jaiswal, Ajay, et al.
Published: (2024)
by: Jaiswal, Ajay, et al.
Published: (2024)
SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering
by: Li, Xiaopeng, et al.
Published: (2024)
by: Li, Xiaopeng, et al.
Published: (2024)
Mitigating Gender Bias in Contextual Word Embeddings
by: Yarrabelly, Navya, et al.
Published: (2024)
by: Yarrabelly, Navya, et al.
Published: (2024)
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
by: Takamoto, Makoto, et al.
Published: (2025)
by: Takamoto, Makoto, et al.
Published: (2025)
Skip-Connected Policy Optimization for Implicit Advantage
by: Teng, Fengwei, et al.
Published: (2026)
by: Teng, Fengwei, et al.
Published: (2026)
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching
by: Li, Zhuoran, et al.
Published: (2024)
by: Li, Zhuoran, et al.
Published: (2024)
Learning to Skip the Middle Layers of Transformers
by: Lawson, Tim, et al.
Published: (2025)
by: Lawson, Tim, et al.
Published: (2025)
Boosting Protein Language Models with Negative Sample Mining
by: Xu, Yaoyao, et al.
Published: (2024)
by: Xu, Yaoyao, et al.
Published: (2024)
MoLAN: A Unified Modality-Aware Noise Dynamic Editing Framework for Multimodal Sentiment Analysis
by: Xu, Xingle, et al.
Published: (2025)
by: Xu, Xingle, et al.
Published: (2025)
An Improved Deep Learning Model for Word Embeddings Based Clustering for Large Text Datasets
by: Sutrakar, Vijay Kumar, et al.
Published: (2025)
by: Sutrakar, Vijay Kumar, et al.
Published: (2025)
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
by: Xu, Kan, et al.
Published: (2021)
by: Xu, Kan, et al.
Published: (2021)
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies
by: Yang, Ning, et al.
Published: (2025)
by: Yang, Ning, et al.
Published: (2025)
Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models
by: Liang, Haoyu, et al.
Published: (2025)
by: Liang, Haoyu, et al.
Published: (2025)
Skip-It? Theoretical Conditions for Layer Skipping in Vision-Language Models
by: Hartman, Max, et al.
Published: (2025)
by: Hartman, Max, et al.
Published: (2025)
Scalable Multi-phase Word Embedding Using Conjunctive Propositional Clauses
by: Kadhim, Ahmed K., et al.
Published: (2025)
by: Kadhim, Ahmed K., et al.
Published: (2025)
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
by: Valentino, Marco, et al.
Published: (2023)
by: Valentino, Marco, et al.
Published: (2023)
Learning Word Embedding with Better Distance Weighting and Window Size Scheduling
by: Yang, Chaohao, et al.
Published: (2024)
by: Yang, Chaohao, et al.
Published: (2024)
Static Word Embeddings for Sentence Semantic Representation
by: Wada, Takashi, et al.
Published: (2025)
by: Wada, Takashi, et al.
Published: (2025)
Evaluating Negative Sampling Approaches for Neural Topic Models
by: Adhya, Suman, et al.
Published: (2025)
by: Adhya, Suman, et al.
Published: (2025)
GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents
by: Wu, Zheng, et al.
Published: (2025)
by: Wu, Zheng, et al.
Published: (2025)
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP
by: Zhang, Lihong, et al.
Published: (2025)
by: Zhang, Lihong, et al.
Published: (2025)
Realised Volatility Forecasting: Machine Learning via Financial Word Embedding
by: Rahimikia, Eghbal, et al.
Published: (2021)
by: Rahimikia, Eghbal, et al.
Published: (2021)
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
by: Lu, Xudong, et al.
Published: (2024)
by: Lu, Xudong, et al.
Published: (2024)
SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection
by: Mou, Guanyi, et al.
Published: (2024)
by: Mou, Guanyi, et al.
Published: (2024)
Skipformer: A Skip-and-Recover Strategy for Efficient Speech Recognition
by: Zhu, Wenjing, et al.
Published: (2024)
by: Zhu, Wenjing, et al.
Published: (2024)
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond
by: Wang, Xinyu, et al.
Published: (2024)
by: Wang, Xinyu, et al.
Published: (2024)
On the Emergence of Linear Analogies in Word Embeddings
by: Korchinski, Daniel J., et al.
Published: (2025)
by: Korchinski, Daniel J., et al.
Published: (2025)
GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning
by: Solatorio, Aivin V.
Published: (2024)
by: Solatorio, Aivin V.
Published: (2024)
Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging
by: Fabian, Thomas
Published: (2026)
by: Fabian, Thomas
Published: (2026)
Foundation Model's Embedded Representations May Detect Distribution Shift
by: Vargas, Max, et al.
Published: (2023)
by: Vargas, Max, et al.
Published: (2023)
ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning
by: Lin, Zihan, et al.
Published: (2026)
by: Lin, Zihan, et al.
Published: (2026)
Similar Items
-
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing
by: Li, Zhuoran, et al.
Published: (2025) -
Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding
by: Feng, Xincan, et al.
Published: (2024) -
Activated Parameter Locating via Causal Intervention for Model Merging
by: Kong, Fanshuang, et al.
Published: (2024) -
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
by: Miao, Ziyang, et al.
Published: (2025) -
LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning
by: Kong, Fanshuang, et al.
Published: (2024)