MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Yichuan, Ma, Xiyao, Lu, Sixing, Lee, Kyumin, Liu, Xiaohu, Guo, Chenlei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Empowering Large Language Models for Textual Data Augmentation
by: Li, Yichuan, et al.
Published: (2024)
by: Li, Yichuan, et al.
Published: (2024)
PropMEND: Hypernetworks for Knowledge Propagation in LLMs
by: Liu, Zeyu Leo, et al.
Published: (2025)
by: Liu, Zeyu Leo, et al.
Published: (2025)
From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models
by: Xu, Zexing, et al.
Published: (2024)
by: Xu, Zexing, et al.
Published: (2024)
STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
by: Lee, Kyumin, et al.
Published: (2025)
by: Lee, Kyumin, et al.
Published: (2025)
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification
by: Mou, Guanyi, et al.
Published: (2024)
by: Mou, Guanyi, et al.
Published: (2024)
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation
by: Zhou, Yuhang, et al.
Published: (2024)
by: Zhou, Yuhang, et al.
Published: (2024)
Piece of Table: A Divide-and-Conquer Approach for Selecting Subtables in Table Question Answering
by: Lee, Wonjin, et al.
Published: (2024)
by: Lee, Wonjin, et al.
Published: (2024)
Hybrid Linear Attention Done Right: Efficient Distillation and Effective Architectures for Extremely Long Contexts
by: Chen, Yingfa, et al.
Published: (2026)
by: Chen, Yingfa, et al.
Published: (2026)
Meta-Sel: Efficient Demonstration Selection for In-Context Learning via Supervised Meta-Learning
by: Wang, Xubin, et al.
Published: (2026)
by: Wang, Xubin, et al.
Published: (2026)
TSUBASA: Improving Long-Horizon Personalization via Evolving Memory and Self-Learning with Context Distillation
by: Zhang, Xinliang Frederick, et al.
Published: (2026)
by: Zhang, Xinliang Frederick, et al.
Published: (2026)
Quantity Convergence, Quality Divergence: Disentangling Fluency and Accuracy in L2 Mandarin Prosody
by: Shi, Yuqi, et al.
Published: (2026)
by: Shi, Yuqi, et al.
Published: (2026)
Beyond Perfect APIs: A Comprehensive Evaluation of LLM Agents Under Real-World API Complexity
by: Kim, Doyoung, et al.
Published: (2026)
by: Kim, Doyoung, et al.
Published: (2026)
END: Early Noise Dropping for Efficient and Effective Context Denoising
by: Jin, Hongye, et al.
Published: (2025)
by: Jin, Hongye, et al.
Published: (2025)
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
by: Li, Guozheng, et al.
Published: (2024)
by: Li, Guozheng, et al.
Published: (2024)
LAWCAT: Efficient Distillation from Quadratic to Linear Attention with Convolution across Tokens for Long Context Modeling
by: Liu, Zeyu, et al.
Published: (2025)
by: Liu, Zeyu, et al.
Published: (2025)
From Deferral to Learning: Online In-Context Knowledge Distillation for LLM Cascades
by: Wu, Yu, et al.
Published: (2025)
by: Wu, Yu, et al.
Published: (2025)
Context Memorization for Efficient Long Context Generation
by: Okoshi, Yasuyuki, et al.
Published: (2026)
by: Okoshi, Yasuyuki, et al.
Published: (2026)
Evaluation of Coding Schemes for Transformer-based Gene Sequence Modeling
by: Gong, Chenlei, et al.
Published: (2025)
by: Gong, Chenlei, et al.
Published: (2025)
MetaSICL: Adapting Audiroty LLM via Meta Speech In-Context Learning
by: Zheng, Haolong, et al.
Published: (2026)
by: Zheng, Haolong, et al.
Published: (2026)
Distilling Monolingual and Crosslingual Word-in-Context Representations
by: Arase, Yuki, et al.
Published: (2024)
by: Arase, Yuki, et al.
Published: (2024)
Rapid Word Learning Through Meta In-Context Learning
by: Wang, Wentao, et al.
Published: (2025)
by: Wang, Wentao, et al.
Published: (2025)
EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models
by: Wang, Chengyu, et al.
Published: (2025)
by: Wang, Chengyu, et al.
Published: (2025)
Efficient Text Classification with Conformal In-Context Learning
by: Pantelidis, Ippokratis, et al.
Published: (2025)
by: Pantelidis, Ippokratis, et al.
Published: (2025)
EMSEdit: Efficient Multi-Step Meta-Learning-based Model Editing
by: Li, Xiaopeng, et al.
Published: (2025)
by: Li, Xiaopeng, et al.
Published: (2025)
Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications
by: Zhou, Yuhang, et al.
Published: (2024)
by: Zhou, Yuhang, et al.
Published: (2024)
Context-level Language Modeling by Learning Predictive Context Embeddings
by: Dai, Beiya, et al.
Published: (2025)
by: Dai, Beiya, et al.
Published: (2025)
Distilling the Essence: Efficient Reasoning Distillation via Sequence Truncation
by: Chen, Wei-Rui, et al.
Published: (2025)
by: Chen, Wei-Rui, et al.
Published: (2025)
EntropyLong: Effective Long-Context Training via Predictive Uncertainty
by: Jia, Junlong, et al.
Published: (2025)
by: Jia, Junlong, et al.
Published: (2025)
WAND: Windowed Attention and Knowledge Distillation for Efficient Autoregressive Text-to-Speech Models
by: Lee, Hanna, et al.
Published: (2026)
by: Lee, Hanna, et al.
Published: (2026)
Timely Machine: Awareness of Time Makes Test-Time Scaling Agentic
by: Ma, Yichuan, et al.
Published: (2026)
by: Ma, Yichuan, et al.
Published: (2026)
Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence
by: Minegishi, Gouki, et al.
Published: (2025)
by: Minegishi, Gouki, et al.
Published: (2025)
OPSDL: On-Policy Self-Distillation for Long-Context Language Models
by: Zhang, Xinsen, et al.
Published: (2026)
by: Zhang, Xinsen, et al.
Published: (2026)
Whispering Context: Distilling Syntax and Semantics for Long Speech Transcripts
by: Altinok, Duygu
Published: (2025)
by: Altinok, Duygu
Published: (2025)
KV-Distill: Nearly Lossless Learnable Context Compression for LLMs
by: Chari, Vivek, et al.
Published: (2025)
by: Chari, Vivek, et al.
Published: (2025)
Effective Structured Prompting by Meta-Learning and Representative Verbalizer
by: Jiang, Weisen, et al.
Published: (2023)
by: Jiang, Weisen, et al.
Published: (2023)
Efficiently Distilling LLMs for Edge Applications
by: Kundu, Achintya, et al.
Published: (2024)
by: Kundu, Achintya, et al.
Published: (2024)
SkillFactory: Self-Distillation For Learning Cognitive Behaviors
by: Sprague, Zayne, et al.
Published: (2025)
by: Sprague, Zayne, et al.
Published: (2025)
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations
by: Wei, Zeming, et al.
Published: (2023)
by: Wei, Zeming, et al.
Published: (2023)
Sentinel: Decoding Context Utilization via Attention Probing for Efficient LLM Context Compression
by: Zhang, Yong, et al.
Published: (2025)
by: Zhang, Yong, et al.
Published: (2025)
Efficient Technical Term Translation: A Knowledge Distillation Approach for Parenthetical Terminology Translation
by: Myung, Jiyoon, et al.
Published: (2024)
by: Myung, Jiyoon, et al.
Published: (2024)
Similar Items
-
Empowering Large Language Models for Textual Data Augmentation
by: Li, Yichuan, et al.
Published: (2024) -
PropMEND: Hypernetworks for Knowledge Propagation in LLMs
by: Liu, Zeyu Leo, et al.
Published: (2025) -
From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models
by: Xu, Zexing, et al.
Published: (2024) -
STEPER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
by: Lee, Kyumin, et al.
Published: (2025) -
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification
by: Mou, Guanyi, et al.
Published: (2024)