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Noisy Channel Language Model Prompting for Few-Shot Text Classification

Noisy Channel Language Model Prompting for Few-Shot Text Classification

9 August 2021
Sewon Min
Michael Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
    VLM
ArXivPDFHTML

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

50 / 156 papers shown
Title
How Do Transformers Learn In-Context Beyond Simple Functions? A Case
  Study on Learning with Representations
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
Tianyu Guo
Wei Hu
Song Mei
Huan Wang
Caiming Xiong
Silvio Savarese
Yu Bai
27
47
0
16 Oct 2023
Demonstrations Are All You Need: Advancing Offensive Content
  Paraphrasing using In-Context Learning
Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning
Anirudh Som
Karan Sikka
Helen Gent
Ajay Divakaran
A. Kathol
D. Vergyri
21
4
0
16 Oct 2023
Generative Calibration for In-context Learning
Generative Calibration for In-context Learning
Zhongtao Jiang
Yuanzhe Zhang
Cao Liu
Jun Zhao
Kang Liu
167
17
0
16 Oct 2023
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy
  Slot Filling Task
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task
Guanting Dong
Tingfeng Hui
Zhuoma Gongque
Jinxu Zhao
Daichi Guo
Gang Zhao
Keqing He
Weiran Xu
DiffM
11
7
0
16 Oct 2023
In-Context Learning for Few-Shot Molecular Property Prediction
In-Context Learning for Few-Shot Molecular Property Prediction
Christopher Fifty
J. Leskovec
Sebastian Thrun
36
5
0
13 Oct 2023
Not All Demonstration Examples are Equally Beneficial: Reweighting
  Demonstration Examples for In-Context Learning
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning
Zhe Yang
Damai Dai
Peiyi Wang
Zhifang Sui
39
9
0
12 Oct 2023
Jailbreak and Guard Aligned Language Models with Only Few In-Context
  Demonstrations
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations
Zeming Wei
Yifei Wang
Ang Li
Yichuan Mo
Yisen Wang
48
236
0
10 Oct 2023
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona
  Biases in Dialogue Systems
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems
Yixin Wan
Jieyu Zhao
Aman Chadha
Nanyun Peng
Kai-Wei Chang
37
22
0
08 Oct 2023
Fine-tune Language Models to Approximate Unbiased In-context Learning
Fine-tune Language Models to Approximate Unbiased In-context Learning
Timothy Chu
Zhao-quan Song
Chiwun Yang
27
15
0
05 Oct 2023
Understanding In-Context Learning in Transformers and LLMs by Learning
  to Learn Discrete Functions
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
S. Bhattamishra
Arkil Patel
Phil Blunsom
Varun Kanade
24
41
0
04 Oct 2023
Batch Calibration: Rethinking Calibration for In-Context Learning and
  Prompt Engineering
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
Han Zhou
Xingchen Wan
Lev Proleev
Diana Mincu
Jilin Chen
Katherine A. Heller
Subhrajit Roy
UQLM
31
53
0
29 Sep 2023
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
Yonggan Fu
Yongan Zhang
Zhongzhi Yu
Sixu Li
Zhifan Ye
Chaojian Li
Cheng Wan
Ying Lin
46
60
0
19 Sep 2023
TransPrompt v2: A Transferable Prompting Framework for Cross-task Text
  Classification
TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification
Jiadong Wang
Chengyu Wang
Cen Chen
Ming Gao
Jun Huang
Aoying Zhou
VLM
30
0
0
29 Aug 2023
A Multi-Task Semantic Decomposition Framework with Task-specific
  Pre-training for Few-Shot NER
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER
Guanting Dong
Zechen Wang
Jinxu Zhao
Gang Zhao
Daichi Guo
...
Keqing He
Xuefeng Li
Liwen Wang
Xinyue Cui
Weiran Xu
37
19
0
28 Aug 2023
HICL: Hashtag-Driven In-Context Learning for Social Media Natural
  Language Understanding
HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding
Hanzhuo Tan
Chunpu Xu
Jing Li
Yuqun Zhang
Zeyang Fang
Zeyu Chen
Baohua Lai
16
0
0
19 Aug 2023
Exploring Demonstration Ensembling for In-context Learning
Exploring Demonstration Ensembling for In-context Learning
Muhammad Khalifa
Lajanugen Logeswaran
Moontae Lee
Honglak Lee
Lu Wang
AIMat
36
7
0
17 Aug 2023
Toward Zero-Shot Instruction Following
Toward Zero-Shot Instruction Following
Renze Lou
Wenpeng Yin
47
1
0
04 Aug 2023
Backdoor Attacks for In-Context Learning with Language Models
Backdoor Attacks for In-Context Learning with Language Models
Nikhil Kandpal
Matthew Jagielski
Florian Tramèr
Nicholas Carlini
SILM
AAML
28
74
0
27 Jul 2023
SINC: Self-Supervised In-Context Learning for Vision-Language Tasks
SINC: Self-Supervised In-Context Learning for Vision-Language Tasks
Yi-Syuan Chen
Yun-Zhu Song
Cheng Yu Yeo
Bei Liu
Jianlong Fu
Hong-Han Shuai
VLM
LRM
26
4
0
15 Jul 2023
Scaling In-Context Demonstrations with Structured Attention
Scaling In-Context Demonstrations with Structured Attention
Tianle Cai
Kaixuan Huang
Jason D. Lee
Mengdi Wang
LRM
31
8
0
05 Jul 2023
TablEye: Seeing small Tables through the Lens of Images
TablEye: Seeing small Tables through the Lens of Images
Seungeun Lee
Sang-Chul Lee
LMTD
21
1
0
04 Jul 2023
Differentiable Instruction Optimization for Cross-Task Generalization
Differentiable Instruction Optimization for Cross-Task Generalization
Masaru Isonuma
Junichiro Mori
Ichiro Sakata
29
0
0
16 Jun 2023
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with
  Human Preferences
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences
Xiao Liu
Hanyu Lai
Hao Yu
Yifan Xu
Aohan Zeng
Zhengxiao Du
Peng-Zhen Zhang
Yuxiao Dong
Jie Tang
17
97
0
13 Jun 2023
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data
  Augmentation
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation
Xiusi Chen
Yu Zhang
Jinliang Deng
Jyun-Yu Jiang
Wei Wang
24
11
0
07 Jun 2023
CELDA: Leveraging Black-box Language Model as Enhanced Classifier
  without Labels
CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels
Hyunsoo Cho
Youna Kim
Sang-goo Lee
14
3
0
05 Jun 2023
IDAS: Intent Discovery with Abstractive Summarization
IDAS: Intent Discovery with Abstractive Summarization
Maarten De Raedt
Fréderic Godin
Thomas Demeester
Chris Develder
37
16
0
31 May 2023
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase
  Generation
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation
Yixin Wan
Kuan-Hao Huang
Kai-Wei Chang
34
7
0
26 May 2023
Self-ICL: Zero-Shot In-Context Learning with Self-Generated
  Demonstrations
Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations
Wei-Lin Chen
Cheng-Kuang Wu
Yun-Nung Chen
Hsin-Hsi Chen
23
27
0
24 May 2023
Increasing Probability Mass on Answer Choices Does Not Always Improve
  Accuracy
Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy
Sarah Wiegreffe
Matthew Finlayson
Oyvind Tafjord
Peter Clark
Ashish Sabharwal
32
6
0
24 May 2023
Label Words are Anchors: An Information Flow Perspective for
  Understanding In-Context Learning
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
Lean Wang
Lei Li
Damai Dai
Deli Chen
Hao Zhou
Fandong Meng
Jie Zhou
Xu Sun
36
170
0
23 May 2023
Iterative Forward Tuning Boosts In-Context Learning in Language Models
Iterative Forward Tuning Boosts In-Context Learning in Language Models
Jiaxi Yang
Binyuan Hui
Min Yang
Bailin Wang
Bowen Li
Binhua Li
Fei Huang
Yongbin Li
41
16
0
22 May 2023
Explaining Emergent In-Context Learning as Kernel Regression
Explaining Emergent In-Context Learning as Kernel Regression
Chi Han
Ziqi Wang
Haiying Zhao
Heng Ji
LRM
32
11
0
22 May 2023
A Benchmark on Extremely Weakly Supervised Text Classification:
  Reconcile Seed Matching and Prompting Approaches
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches
Zihan Wang
Tianle Wang
Dheeraj Mekala
Jingbo Shang
VLM
29
8
0
22 May 2023
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot
  Relation Extractors
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors
Kai Zhang
Bernal Jiménez Gutiérrez
Yu-Chuan Su
31
66
0
18 May 2023
Pre-Training to Learn in Context
Pre-Training to Learn in Context
Yuxian Gu
Li Dong
Furu Wei
Minlie Huang
CLIP
LRM
ReLM
116
37
0
16 May 2023
Large Language Models Need Holistically Thought in Medical
  Conversational QA
Large Language Models Need Holistically Thought in Medical Conversational QA
Yixuan Weng
Bin Li
Fei Xia
Minjun Zhu
Bing Sun
Shizhu He
Kang Liu
Jun Zhao
LM&MA
AI4MH
LRM
DiffM
ELM
22
5
0
09 May 2023
Unified Demonstration Retriever for In-Context Learning
Unified Demonstration Retriever for In-Context Learning
Xiaonan Li
Kai Lv
Hang Yan
Tianya Lin
Wei-wei Zhu
Yuan Ni
Guotong Xie
Xiaoling Wang
Xipeng Qiu
RALM
VPVLM
24
121
0
07 May 2023
Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models
Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models
Junmo Kang
Wei-ping Xu
Alan Ritter
47
15
0
02 May 2023
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models
  against Counterfactual Noise
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise
Giwon Hong
Jeonghwan Kim
Junmo Kang
Sung-Hyon Myaeng
Joyce Jiyoung Whang
RALM
AAML
27
19
0
02 May 2023
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in
  Language Models
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
Shuai Zhao
Jinming Wen
Anh Tuan Luu
J. Zhao
Jie Fu
SILM
62
89
0
02 May 2023
Prompt Engineering for Healthcare: Methodologies and Applications
Prompt Engineering for Healthcare: Methodologies and Applications
Jiaqi Wang
Enze Shi
Sigang Yu
Zihao Wu
Chong Ma
...
Dajiang Zhu
Yixuan Yuan
Dinggang Shen
Tianming Liu
Shu Zhang
LM&MA
44
111
0
28 Apr 2023
Task-oriented Document-Grounded Dialog Systems by HLTPR@RWTH for DSTC9
  and DSTC10
Task-oriented Document-Grounded Dialog Systems by HLTPR@RWTH for DSTC9 and DSTC10
David Thulke
Nico Daheim
Christian Dugast
Hermann Ney
36
6
0
14 Apr 2023
Exploring Effective Factors for Improving Visual In-Context Learning
Exploring Effective Factors for Improving Visual In-Context Learning
Yanpeng Sun
Qiang Chen
Jian Wang
Jingdong Wang
Zechao Li
LRM
VLM
48
24
0
10 Apr 2023
$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest
  Neighbor Inference
kkkNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
Benfeng Xu
Quan Wang
Zhendong Mao
Yajuan Lyu
Qiaoqiao She
Yongdong Zhang
104
52
0
24 Mar 2023
OpenICL: An Open-Source Framework for In-context Learning
OpenICL: An Open-Source Framework for In-context Learning
Zhenyu Wu
Yaoxiang Wang
Jiacheng Ye
Jiangtao Feng
Jingjing Xu
Yu Qiao
Zhiyong Wu
29
49
0
06 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from
  Unlabeled Tables
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam
Jihoon Tack
Kyungmin Lee
Hankook Lee
Jinwoo Shin
LMTD
SSL
21
31
0
02 Mar 2023
Finding Support Examples for In-Context Learning
Finding Support Examples for In-Context Learning
Xiaonan Li
Xipeng Qiu
22
87
0
27 Feb 2023
How Does In-Context Learning Help Prompt Tuning?
How Does In-Context Learning Help Prompt Tuning?
Simeng Sun
Yang Liu
Dan Iter
Chenguang Zhu
Mohit Iyyer
VLM
38
17
0
22 Feb 2023
In-context Example Selection with Influences
In-context Example Selection with Influences
Nguyen Tai
Eric Wong
13
48
0
21 Feb 2023
Towards Few-Shot Identification of Morality Frames using In-Context
  Learning
Towards Few-Shot Identification of Morality Frames using In-Context Learning
Shamik Roy
Nishanth Nakshatri
Dan Goldwasser
26
11
0
03 Feb 2023
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