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2212.06713
Cited By
Structured Prompting: Scaling In-Context Learning to 1,000 Examples
13 December 2022
Y. Hao
Yutao Sun
Li Dong
Zhixiong Han
Yuxian Gu
Furu Wei
LRM
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Papers citing
"Structured Prompting: Scaling In-Context Learning to 1,000 Examples"
50 / 63 papers shown
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Prompting Large Language Models with Partial Knowledge for Answering Questions with Unseen Entities
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02 Aug 2025
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310
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31 Jul 2025
Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning
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187
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TDR: Task-Decoupled Retrieval with Fine-Grained LLM Feedback for In-Context Learning
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Z. Chen
156
1
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24 Jul 2025
Towards Compute-Optimal Many-Shot In-Context Learning
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Manan Gandhi
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Swaroop Mishra
Mihai Surdeanu
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Chen-Yu Lee
Tomas Pfister
277
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0
22 Jul 2025
Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction
Zesheng Ye
C. Cai
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804
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05 Jun 2025
Exploring In-context Example Generation for Machine Translation
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205
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522
11
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16 May 2025
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262
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544
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382
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Zhongyang Li
Qingfu Zhu
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588
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17 Mar 2025
In-Context Learning (and Unlearning) of Length Biases
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Yangfeng Ji
423
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From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation
International Conference on Learning Representations (ICLR), 2025
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Han Zhou
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352
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01 Feb 2025
Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Zhisong Zhang
Yan Wang
Xinting Huang
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Chenlong Deng
Shuaiyi Li
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461
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In-Context Learning with Noisy Labels
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321
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SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization
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417
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SPICA: Retrieving Scenarios for Pluralistic In-Context Alignment
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
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296
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16 Nov 2024
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning
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492
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Mitigating Copy Bias in In-Context Learning through Neuron Pruning
Ameen Ali
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Ivan Titov
242
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02 Oct 2024
Focused Large Language Models are Stable Many-Shot Learners
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Peiwen Yuan
Shaoxiong Feng
Yiwei Li
Xinglin Wang
Y. Zhang
Chuyi Tan
Boyuan Pan
Heda Wang
Yao Hu
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300
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26 Aug 2024
MaxMind: A Memory Loop Network to Enhance Software Productivity based on Large Language Models
Yuchen Dong
Xiaoxiang Fang
Yuchen Hu
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325
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07 Aug 2024
Eliminating Position Bias of Language Models: A Mechanistic Approach
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Hanlin Zhang
Xiner Li
Kuan-Hao Huang
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Sham Kakade
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643
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01 Jul 2024
Enhancing In-Context Learning via Implicit Demonstration Augmentation
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Chaoya Jiang
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327
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Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration
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345
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LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
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Learnable In-Context Vector for Visual Question Answering
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Demonstration Augmentation for Zero-shot In-context Learning
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292
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Mixture of In-Context Prompters for Tabular PFNs
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393
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Implicit In-context Learning
International Conference on Learning Representations (ICLR), 2024
Zhuowei Li
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Song Wen
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Dimitris N. Metaxas
402
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In-Context Learning with Long-Context Models: An In-Depth Exploration
Amanda Bertsch
Maor Ivgi
Uri Alon
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Matthew R. Gormley
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30 Apr 2024
Long-context LLMs Struggle with Long In-context Learning
Tianle Li
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Quy Duc Do
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518
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02 Apr 2024
Naive Bayes-based Context Extension for Large Language Models
Jianlin Su
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246
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26 Mar 2024
MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning
International Conference on Learning Representations (ICLR), 2024
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245
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Long-Context Language Modeling with Parallel Context Encoding
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381
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CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory
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Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation
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International Conference on Learning Representations (ICLR), 2023
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