Noisy Channel Language Model Prompting for Few-Shot Text Classification

9 August 2021

Luke Zettlemoyer

Papers citing "Noisy Channel Language Model Prompting for Few-Shot Text Classification"

50 / 156 papers shown

Title
Rethinking Invariance in In-context Learning Lizhe Fang Yifei Wang Khashayar Gatmiry Lei Fang Yuxiang Wang 54 2 0 08 May 2025
E-InMeMo: Enhanced Prompting for Visual In-Context Learning Jiahao Zhang Bowen Wang Hong Liu Liangzhi Li Yuta Nakashima Hajime Nagahara VLM 104 0 0 25 Apr 2025
SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization Hongrui Jia Chaoya Jiang Haiyang Xu Wei Ye Mengfan Dong Ming Yan Ji Zhang Fei Huang Shikun Zhang MLLM 89 2 0 17 Nov 2024
Mixtures of In-Context Learners Giwon Hong Emile van Krieken E. Ponti Nikolay Malkin Pasquale Minervini 38 0 0 05 Nov 2024
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability Tsz Ting Chung Leyang Cui Lemao Liu Xinting Huang Shuming Shi Dit-Yan Yeung 38 1 0 15 Oct 2024
Eliciting Textual Descriptions from Representations of Continuous Prompts Dana Ramati Daniela Gottesman Mor Geva 37 0 0 15 Oct 2024
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization Xinhao Yao Hongjin Qian Xiaolin Hu Gengze Xu Wei Liu Jian Luan Bin Wang Yong Liu 48 0 0 03 Oct 2024
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics Zhiwen You Kanyao Han Haotian Zhu Bertram Ludäscher Jana Diesner 35 1 0 02 Oct 2024
Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection Bo Liu Liming Zhan Yujie Feng Zexin Lu Chengqiang Xie Lei Xue Albert Y. S. Lam Xiao-Ming Wu OODD 38 1 0 17 Sep 2024
Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs Zhuo Li Yuhao Du Jinpeng Hu Xiang Wan Anningzhe Gao 34 2 0 03 Sep 2024
Tabular Transfer Learning via Prompting LLMs Jaehyun Nam Woomin Song Seong Hyeon Park Jihoon Tack Sukmin Yun Jaehyung Kim Kyu Hwan Oh Jinwoo Shin RALM LMTD VPVLM 36 2 0 09 Aug 2024
The Solution for Language-Enhanced Image New Category Discovery Haonan Xu Dian Chao Xiangyu Wu Zhonghua Wan Yang Yang VLM 35 0 0 06 Jul 2024
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning Nan Xu Fei Wang Sheng Zhang Hoifung Poon Muhao Chen 34 6 0 01 Jul 2024
Enhancing In-Context Learning via Implicit Demonstration Augmentation Xiaoling Zhou Wei Ye Yidong Wang Chaoya Jiang Zhemg Lee Rui Xie Shikun Zhang 28 3 0 27 Jun 2024
Token-based Decision Criteria Are Suboptimal in In-context Learning Hakaze Cho Yoshihiro Sakai Mariko Kato Kenshiro Tanaka Akira Ishii Naoya Inoue 46 2 0 24 Jun 2024
When Parts are Greater Than Sums: Individual LLM Components Can Outperform Full Models Ting-Yun Chang Jesse Thomason Robin Jia 45 4 0 19 Jun 2024
The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance Kyle Moore Jesse Roberts Thao Pham Oseremhen Ewaleifoh Doug Fisher 42 2 0 17 Jun 2024
AIM: Let Any Multi-modal Large Language Models Embrace Efficient In-Context Learning Jun Gao Qian Qiao Ziqiang Cao Zili Wang Wenjie Li 34 3 0 11 Jun 2024
In-Context Learning of Physical Properties: Few-Shot Adaptation to Out-of-Distribution Molecular Graphs Grzegorz Kaszuba Amirhossein D. Naghdi Dario Massa Stefanos Papanikolaou Andrzej Jaszkiewicz Piotr Sankowski AI4CE OODD 42 0 0 03 Jun 2024
Demonstration Augmentation for Zero-shot In-context Learning Yi Su Yunpeng Tai Yixin Ji Juntao Li Bowen Yan Min Zhang RALM 43 6 0 03 Jun 2024
Unifying Demonstration Selection and Compression for In-Context Learning Jun Gao Ziqiang Cao Wenjie Li 43 3 0 27 May 2024
Implicit In-context Learning Zhuowei Li Zihao Xu Ligong Han Yunhe Gao Song Wen Di Liu Hao Wang Dimitris N. Metaxas 38 1 0 23 May 2024
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning Sanchit Sinha Yuguang Yue Victor Soto Mayank Kulkarni Jianhua Lu Aidong Zhang LRM 46 4 0 19 May 2024
TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt Xiangyu Wu Qingjun Jiang Yang Yang Yifeng Wu Qingguo Chen Jianfeng Lu VLM VPVLM 34 6 0 11 May 2024
Beyond Performance: Quantifying and Mitigating Label Bias in LLMs Philipp Benz Maitreya Patel 129 10 0 04 May 2024
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction Guozheng Li Peng Wang Wenjun Ke Yikai Guo Ke Ji Ziyu Shang Jiajun Liu Zijie Xu LRM ReLM 47 4 0 27 Apr 2024
Evaluating Span Extraction in Generative Paradigm: A Reflection on Aspect-Based Sentiment Analysis Soyoung Yang Won Ik Cho 32 0 0 17 Apr 2024
Multimodal Contextual Dialogue Breakdown Detection for Conversational AI Models Md Messal Monem Miah Ulie Schnaithmann Arushi Raghuvanshi Youngseo Son 29 0 0 11 Apr 2024
Do Large Language Models Learn Human-Like Strategic Preferences? Jesse Roberts Kyle Moore Douglas H. Fisher 29 5 0 11 Apr 2024
Naive Bayes-based Context Extension for Large Language Models Jianlin Su Murtadha Ahmed Wenbo Luo Abhishek Rao Denny Zhou Hyeontaek Lim 31 5 0 26 Mar 2024
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions Yuan Zhang Xiao Wang Zhiheng Xi Han Xia Tao Gui Qi Zhang Xuanjing Huang 36 3 0 26 Feb 2024
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond Zhiyuan Wang Jinhao Duan Chenxi Yuan Qingyu Chen Tianlong Chen Huaxiu Yao Yue Zhang Ren Wang Kaidi Xu Xiaoshuang Shi UQLM 33 9 0 22 Feb 2024
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis Miaoran Zhang Vagrant Gautam Mingyang Wang Jesujoba Oluwadara Alabi Xiaoyu Shen Dietrich Klakow Marius Mosbach 47 8 0 20 Feb 2024
In-Context Example Ordering Guided by Label Distributions Zhichao Xu Daniel Cohen Bei Wang Vivek Srikumar 41 7 0 18 Feb 2024
Understanding In-Context Learning with a Pelican Soup Framework Ting-Rui Chiang Dani Yogatama 16 1 0 16 Feb 2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models Kang He Yinghan Long Kaushik Roy 28 2 0 15 Feb 2024
Foundation Model Sherpas: Guiding Foundation Models through Knowledge and Reasoning D. Bhattacharjya Junkyu Lee Don Joven Agravante Balaji Ganesan Radu Marinescu LLMAG 38 1 0 02 Feb 2024
Superiority of Multi-Head Attention in In-Context Linear Regression Yingqian Cui Jie Ren Pengfei He Jiliang Tang Yue Xing 39 12 0 30 Jan 2024
Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements Anton Voronov Lena Wolf Max Ryabinin 27 46 0 12 Jan 2024
Catwalk: A Unified Language Model Evaluation Framework for Many Datasets Dirk Groeneveld Anas Awadalla Iz Beltagy Akshita Bhagia Ian H. Magnusson Hao Peng Oyvind Tafjord Pete Walsh Kyle Richardson Jesse Dodge 122 1 0 15 Dec 2023
DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework Keonwoo Kim Younggun Lee VLM 28 0 0 05 Dec 2023
TARGET: Template-Transferable Backdoor Attack Against Prompt-based NLP Models via GPT4 Zihao Tan Qingliang Chen Yongjian Huang Chen Liang SILM AAML 36 3 0 29 Nov 2023
Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models Carlos Alejandro Aguirre Kuleen Sasse Isabel Cachola Mark Dredze 30 1 0 14 Nov 2023
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions Sachin Kumar Chan Young Park Yulia Tsvetkov VLM 30 2 0 13 Nov 2023
Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations Zilu Tang Mayank Agarwal Alex Shypula Bailin Wang Derry Wijaya Jie Chen Yoon Kim LRM 37 15 0 13 Nov 2023
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering Sheng Liu Haotian Ye Lei Xing James Y. Zou 26 84 0 11 Nov 2023
CloudEval-YAML: A Practical Benchmark for Cloud Configuration Generation Yifei Xu Yuning Chen Xumiao Zhang Xianshang Lin Pan Hu† ... Songwu Lu Wan Du Z. Mao Ennan Zhai Dennis Cai ALM 40 9 0 10 Nov 2023
Instruct Me More! Random Prompting for Visual In-Context Learning Jiahao Zhang Bowen Wang Liangzhi Li Yuta Nakashima Hajime Nagahara VLM 30 15 0 07 Nov 2023
POE: Process of Elimination for Multiple Choice Reasoning Chenkai Ma Xinya Du LRM 19 5 0 24 Oct 2023
Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models Yilmazcan Ozyurt Stefan Feuerriegel Ce Zhang 26 1 0 17 Oct 2023