Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction
Fuente:
arXiv
Saved in:
| Main Authors: | Yao, Hao-Ren, Breitfeller, Luke, Naik, Aakanksha, Zhou, Chunxiao, Rose, Carolyn |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
$R^2$-CoD: Understanding Text-Graph Complementarity in Relational Reasoning via Knowledge Co-Distillation
by: Wu, Zhen, et al.
Published: (2025)
by: Wu, Zhen, et al.
Published: (2025)
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models
by: Shing, Makoto, et al.
Published: (2025)
by: Shing, Makoto, et al.
Published: (2025)
DistillSpec: Improving Speculative Decoding via Knowledge Distillation
by: Zhou, Yongchao, et al.
Published: (2023)
by: Zhou, Yongchao, et al.
Published: (2023)
Distillation Scaling Laws
by: Busbridge, Dan, et al.
Published: (2025)
by: Busbridge, Dan, et al.
Published: (2025)
Multi-hop Question Answering under Temporal Knowledge Editing
by: Cheng, Keyuan, et al.
Published: (2024)
by: Cheng, Keyuan, et al.
Published: (2024)
Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
by: Liu, Yichen, et al.
Published: (2022)
by: Liu, Yichen, et al.
Published: (2022)
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
by: Chen, Jianlv, et al.
Published: (2024)
by: Chen, Jianlv, et al.
Published: (2024)
zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models
by: Ding, Zifeng, et al.
Published: (2023)
by: Ding, Zifeng, et al.
Published: (2023)
Dual Knowledge Distillation for Efficient Sound Event Detection
by: Xiao, Yang, et al.
Published: (2024)
by: Xiao, Yang, et al.
Published: (2024)
COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation
by: Zhou, Tianyi, et al.
Published: (2026)
by: Zhou, Tianyi, et al.
Published: (2026)
Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
by: Tian, Yijun, et al.
Published: (2024)
by: Tian, Yijun, et al.
Published: (2024)
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training
by: Guo, Quanjiang, et al.
Published: (2025)
by: Guo, Quanjiang, et al.
Published: (2025)
Delta Knowledge Distillation for Large Language Models
by: Cao, Yihan, et al.
Published: (2025)
by: Cao, Yihan, et al.
Published: (2025)
A Dual-Space Framework for General Knowledge Distillation of Large Language Models
by: Zhang, Xue, et al.
Published: (2025)
by: Zhang, Xue, et al.
Published: (2025)
Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents
by: Wang, Hao, et al.
Published: (2026)
by: Wang, Hao, et al.
Published: (2026)
A Toolbox, Not a Hammer -- Multi-TAG: Scaling Math Reasoning with Multi-Tool Aggregation
by: Yao, Bohan, et al.
Published: (2025)
by: Yao, Bohan, et al.
Published: (2025)
Probabilistic Consensus through Ensemble Validation: A Framework for LLM Reliability
by: Naik, Ninad
Published: (2024)
by: Naik, Ninad
Published: (2024)
Compact Language Models via Pruning and Knowledge Distillation
by: Muralidharan, Saurav, et al.
Published: (2024)
by: Muralidharan, Saurav, et al.
Published: (2024)
KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphs
by: Zhou, Zelin, et al.
Published: (2025)
by: Zhou, Zelin, et al.
Published: (2025)
Relative-Based Scaling Law for Neural Language Models
by: Yue, Baoqing, et al.
Published: (2025)
by: Yue, Baoqing, et al.
Published: (2025)
AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
by: Hu, Yuezhou, et al.
Published: (2025)
by: Hu, Yuezhou, et al.
Published: (2025)
Beyond Mimicry to Contextual Guidance: Knowledge Distillation for Interactive AI
by: Wang, Tong, et al.
Published: (2024)
by: Wang, Tong, et al.
Published: (2024)
Generative Medical Event Models Improve with Scale
by: Waxler, Shane, et al.
Published: (2025)
by: Waxler, Shane, et al.
Published: (2025)
GLiREL -- Generalist Model for Zero-Shot Relation Extraction
by: Boylan, Jack, et al.
Published: (2025)
by: Boylan, Jack, et al.
Published: (2025)
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction
by: Zaratiana, Urchade, et al.
Published: (2024)
by: Zaratiana, Urchade, et al.
Published: (2024)
Graphical Reasoning: LLM-based Semi-Open Relation Extraction
by: Tao, Yicheng, et al.
Published: (2024)
by: Tao, Yicheng, et al.
Published: (2024)
Causality Extraction from Nuclear Licensee Event Reports Using a Hybrid Framework
by: Sohag, Shahidur Rahoman, et al.
Published: (2024)
by: Sohag, Shahidur Rahoman, et al.
Published: (2024)
Do We Need Frontier Models to Verify Mathematical Proofs?
by: Naik, Aaditya, et al.
Published: (2026)
by: Naik, Aaditya, et al.
Published: (2026)
Self-Distillation for Multi-Token Prediction
by: Zhao, Guoliang, et al.
Published: (2026)
by: Zhao, Guoliang, et al.
Published: (2026)
DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation
by: Chen, Jennifer, et al.
Published: (2025)
by: Chen, Jennifer, et al.
Published: (2025)
GPT-3 Powered Information Extraction for Building Robust Knowledge Bases
by: Choudhury, Ritabrata Roy, et al.
Published: (2024)
by: Choudhury, Ritabrata Roy, et al.
Published: (2024)
Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
by: Allen-Zhu, Zeyuan, et al.
Published: (2023)
by: Allen-Zhu, Zeyuan, et al.
Published: (2023)
M2R2: Mixture of Multi-Rate Residuals for Efficient Transformer Inference
by: Bhendawade, Nikhil, et al.
Published: (2025)
by: Bhendawade, Nikhil, et al.
Published: (2025)
LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models
by: Yang, Runming, et al.
Published: (2024)
by: Yang, Runming, et al.
Published: (2024)
Efficient Mathematical Reasoning Models via Dynamic Pruning and Knowledge Distillation
by: Yu, Fengming, et al.
Published: (2025)
by: Yu, Fengming, et al.
Published: (2025)
DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation
by: Li, Pingzhi, et al.
Published: (2025)
by: Li, Pingzhi, et al.
Published: (2025)
Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
by: Qiao, Qiao, et al.
Published: (2023)
by: Qiao, Qiao, et al.
Published: (2023)
Dialogue Ontology Relation Extraction via Constrained Chain-of-Thought Decoding
by: Vukovic, Renato, et al.
Published: (2024)
by: Vukovic, Renato, et al.
Published: (2024)
Mathematical Derivation Graphs: A Relation Extraction Task in STEM Manuscripts
by: Prasad, Vishesh, et al.
Published: (2024)
by: Prasad, Vishesh, et al.
Published: (2024)
MeKi: Memory-based Expert Knowledge Injection for Efficient LLM Scaling
by: Ding, Ning, et al.
Published: (2026)
by: Ding, Ning, et al.
Published: (2026)
Similar Items
-
$R^2$-CoD: Understanding Text-Graph Complementarity in Relational Reasoning via Knowledge Co-Distillation
by: Wu, Zhen, et al.
Published: (2025) -
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models
by: Shing, Makoto, et al.
Published: (2025) -
DistillSpec: Improving Speculative Decoding via Knowledge Distillation
by: Zhou, Yongchao, et al.
Published: (2023) -
Distillation Scaling Laws
by: Busbridge, Dan, et al.
Published: (2025) -
Multi-hop Question Answering under Temporal Knowledge Editing
by: Cheng, Keyuan, et al.
Published: (2024)