Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Peng, Wang, Xiaobin, Lou, Chao, Mao, Shengyu, Xie, Pengjun, Jiang, Yong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Editing Personality for Large Language Models
by: Mao, Shengyu, et al.
Published: (2023)
by: Mao, Shengyu, et al.
Published: (2023)
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts
by: Chen, Zhuo, et al.
Published: (2024)
by: Chen, Zhuo, et al.
Published: (2024)
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference
by: Chen, Zhuo, et al.
Published: (2025)
by: Chen, Zhuo, et al.
Published: (2025)
Retrieved In-Context Principles from Previous Mistakes
by: Sun, Hao, et al.
Published: (2024)
by: Sun, Hao, et al.
Published: (2024)
RaFe: Ranking Feedback Improves Query Rewriting for RAG
by: Mao, Shengyu, et al.
Published: (2024)
by: Mao, Shengyu, et al.
Published: (2024)
U-Fold: Dynamic Intent-Aware Context Folding for User-Centric Agents
by: Su, Jin, et al.
Published: (2026)
by: Su, Jin, et al.
Published: (2026)
Enhancing In-Context Learning via Implicit Demonstration Augmentation
by: Zhou, Xiaoling, et al.
Published: (2024)
by: Zhou, Xiaoling, et al.
Published: (2024)
Misconfidence-based Demonstration Selection for LLM In-Context Learning
by: Xu, Shangqing, et al.
Published: (2024)
by: Xu, Shangqing, et al.
Published: (2024)
Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning
by: Li, Xiao, et al.
Published: (2024)
by: Li, Xiao, et al.
Published: (2024)
An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms
by: Chen, Ziyang, et al.
Published: (2024)
by: Chen, Ziyang, et al.
Published: (2024)
DiffuRank: Effective Document Reranking with Diffusion Language Models
by: Liu, Qi, et al.
Published: (2026)
by: Liu, Qi, et al.
Published: (2026)
LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs -- No Silver Bullet for LC or RAG Routing
by: Li, Kuan, et al.
Published: (2025)
by: Li, Kuan, et al.
Published: (2025)
Demonstration Selection for In-Context Learning via Reinforcement Learning
by: Wang, Xubin, et al.
Published: (2024)
by: Wang, Xubin, et al.
Published: (2024)
Exploring Imbalanced Annotations for Effective In-Context Learning
by: Gao, Hongfu, et al.
Published: (2025)
by: Gao, Hongfu, et al.
Published: (2025)
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning
by: Yang, Zhe, et al.
Published: (2023)
by: Yang, Zhe, et al.
Published: (2023)
Learning Robust Named Entity Recognizers From Noisy Data With Retrieval Augmentation
by: Ai, Chaoyi, et al.
Published: (2024)
by: Ai, Chaoyi, et al.
Published: (2024)
ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT
by: Wei, Xiang, et al.
Published: (2023)
by: Wei, Xiang, et al.
Published: (2023)
Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching
by: Zhang, Jianfei, et al.
Published: (2025)
by: Zhang, Jianfei, et al.
Published: (2025)
Revisiting Demonstration Selection Strategies in In-Context Learning
by: Peng, Keqin, et al.
Published: (2024)
by: Peng, Keqin, et al.
Published: (2024)
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
by: Wang, Xinyi, et al.
Published: (2023)
by: Wang, Xinyi, et al.
Published: (2023)
KBM: Delineating Knowledge Boundary for Adaptive Retrieval in Large Language Models
by: Zhang, Zhen, et al.
Published: (2024)
by: Zhang, Zhen, et al.
Published: (2024)
In-Context Learning Demonstration Selection via Influence Analysis
by: S., Vinay M., et al.
Published: (2024)
by: S., Vinay M., et al.
Published: (2024)
ProductAgent: Benchmarking Conversational Product Search Agent with Asking Clarification Questions
by: Ye, Jingheng, et al.
Published: (2024)
by: Ye, Jingheng, et al.
Published: (2024)
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
by: Wang, Peng, et al.
Published: (2024)
by: Wang, Peng, et al.
Published: (2024)
P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models
by: Jiang, Guochao, et al.
Published: (2024)
by: Jiang, Guochao, et al.
Published: (2024)
Topic Coverage-based Demonstration Retrieval for In-Context Learning
by: Kweon, Wonbin, et al.
Published: (2025)
by: Kweon, Wonbin, et al.
Published: (2025)
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning
by: Liu, Hui, et al.
Published: (2024)
by: Liu, Hui, et al.
Published: (2024)
Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction
by: Li, Wei, et al.
Published: (2025)
by: Li, Wei, et al.
Published: (2025)
Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling
by: Qiao, Zile, et al.
Published: (2024)
by: Qiao, Zile, et al.
Published: (2024)
The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation
by: Wang, Lei, et al.
Published: (2024)
by: Wang, Lei, et al.
Published: (2024)
AutoForge: Automated Environment Synthesis for Agentic Reinforcement Learning
by: Cai, Shihao, et al.
Published: (2025)
by: Cai, Shihao, et al.
Published: (2025)
Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency
by: Aguda, Toyin, et al.
Published: (2024)
by: Aguda, Toyin, et al.
Published: (2024)
ULMA: Unified Language Model Alignment with Human Demonstration and Point-wise Preference
by: Cai, Tianchi, et al.
Published: (2023)
by: Cai, Tianchi, et al.
Published: (2023)
Curriculum Demonstration Selection for In-Context Learning
by: Vu, Duc Anh, et al.
Published: (2024)
by: Vu, Duc Anh, et al.
Published: (2024)
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)
Efficient Multimodal Planning Agent for Visual Question-Answering
by: Chen, Zhuo, et al.
Published: (2026)
by: Chen, Zhuo, et al.
Published: (2026)
DeltaMem: Towards Agentic Memory Management via Reinforcement Learning
by: Zhang, Qi, et al.
Published: (2026)
by: Zhang, Qi, et al.
Published: (2026)
Large Language Models are Demonstration Pre-Selectors for Themselves
by: Jin, Jiarui, et al.
Published: (2025)
by: Jin, Jiarui, et al.
Published: (2025)
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models
by: Xiang, Yanzheng, et al.
Published: (2024)
by: Xiang, Yanzheng, et al.
Published: (2024)
FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding
by: Deng, Jingyang, et al.
Published: (2024)
by: Deng, Jingyang, et al.
Published: (2024)
Similar Items
-
Editing Personality for Large Language Models
by: Mao, Shengyu, et al.
Published: (2023) -
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts
by: Chen, Zhuo, et al.
Published: (2024) -
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference
by: Chen, Zhuo, et al.
Published: (2025) -
Retrieved In-Context Principles from Previous Mistakes
by: Sun, Hao, et al.
Published: (2024) -
RaFe: Ranking Feedback Improves Query Rewriting for RAG
by: Mao, Shengyu, et al.
Published: (2024)