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Reframing Instructional Prompts to GPTk's Language
16 September 2021
Swaroop Mishra
Daniel Khashabi
Chitta Baral
Yejin Choi
Hannaneh Hajishirzi
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Papers citing
"Reframing Instructional Prompts to GPTk's Language"
50 / 103 papers shown
Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs
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203
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Improving Alignment Between Human and Machine Codes: An Empirical Assessment of Prompt Engineering for Construct Identification in Psychology
Kylie L. Anglin
Stephanie Milan
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Claudia Ventura
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200
0
0
03 Dec 2025
Cross-Lingual Prompt Steerability: Towards Accurate and Robust LLM Behavior across Languages
Lechen Zhang
Yusheng Zhou
Tolga Ergen
Lajanugen Logeswaran
Moontae Lee
David Jurgens
LRM
242
2
0
02 Dec 2025
Improving Phishing Resilience with AI-Generated Training: Evidence on Prompting, Personalization, and Duration
Francesco Greco
Giuseppe Desolda
Cesare Tucci
Andrea Esposito
Antonio Curci
Antonio Piccinno
133
0
0
01 Dec 2025
The Atomic Instruction Gap: Instruction-Tuned LLMs Struggle with Simple, Self-Contained Directives
Henry Lim
Kwan Hui Lim
LRM
153
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20 Oct 2025
Follow My Lead: Logical Fallacy Classification with Knowledge-Augmented LLMs
Olivia Peiyu Wang
Tashvi Bansal
Ryan Bai
Emily M. Chui
Leilani H. Gilpin
LRM
139
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11 Oct 2025
Evaluating Program Semantics Reasoning with Type Inference in System F
Yifeng He
Luning Yang
Christopher Castro Gaw Gonzalo
Hao Chen
ReLM
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663
1
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28 Sep 2025
Uncovering Scaling Laws for Large Language Models via Inverse Problems
Arun Verma
Zhaoxuan Wu
Zijian Zhou
Xiaoqiang Lin
Zhiliang Chen
...
Zitong Zhao
Xinyi Xu
Apivich Hemachandra
See-Kiong Ng
Bryan Kian Hsiang Low
LRM
208
0
0
09 Sep 2025
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams
Masoud Safilian
Amin Beheshti
Stephen Elbourn
155
2
0
27 May 2025
TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models
Mihai Nadas
Laura Diosan
Andrei Piscoran
Andreea Tomescu
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394
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ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers
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Aayush Mishra
Muhan Gao
Anqi Liu
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535
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Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational History
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Haoran Li
Ying Li
Jingsong Yu
Baoxun Wang
321
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07 Mar 2025
LLM Program Optimization via Retrieval Augmented Search
Sagnik Anupam
Alexander Shypula
Osbert Bastani
426
5
0
31 Jan 2025
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Ran Xu
Hejie Cui
Yue Yu
Xuan Kan
Wenqi Shi
Yuchen Zhuang
Wei Jin
Joyce C. Ho
Carl Yang
470
36
0
28 Jan 2025
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Sepideh Mamooler
Syrielle Montariol
Alexander Mathis
Antoine Bosselut
463
2
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16 Dec 2024
GAMedX: Generative AI-based Medical Entity Data Extractor Using Large Language Models
Mohammed-Khalil Ghali
Abdelrahman Farrag
Hajar Sakai
Hicham El Baz
Yu Jin
Sarah Lam
LM&MA
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298
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31 May 2024
Exploring the Capability of LLMs in Performing Low-Level Visual Analytic Tasks on SVG Data Visualizations
Zhongzhen Xu
Emily Wall
312
32
0
29 Apr 2024
Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains
Zijie Wang
Farzana Rashid
Eduardo Blanco
249
2
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25 Apr 2024
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
Mihir Parmar
Nisarg Patel
Neeraj Varshney
Mutsumi Nakamura
Man Luo
Santosh Mashetty
Arindam Mitra
Chitta Baral
LRM
ReLM
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628
74
0
23 Apr 2024
Characterizing LLM Abstention Behavior in Science QA with Context Perturbations
Bingbing Wen
Bill Howe
Lucy Lu Wang
236
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0
18 Apr 2024
Deconstructing In-Context Learning: Understanding Prompts via Corruption
International Conference on Language Resources and Evaluation (LREC), 2024
Namrata Shivagunde
Vladislav Lialin
Sherin Muckatira
Anna Rumshisky
507
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0
02 Apr 2024
IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations
Deqing Fu
Ghazal Khalighinejad
Ollie Liu
Bhuwan Dhingra
Dani Yogatama
Robin Jia
Willie Neiswanger
520
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0
01 Apr 2024
Localized Zeroth-Order Prompt Optimization
Wenyang Hu
Yao Shu
Zongmin Yu
Zhaoxuan Wu
Xiangqiang Lin
Zhongxiang Dai
See-Kiong Ng
Bryan Kian Hsiang Low
262
23
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05 Mar 2024
Misconfidence-based Demonstration Selection for LLM In-Context Learning
Shangqing Xu
Chao Zhang
315
25
0
12 Jan 2024
MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following
International Conference on Learning Representations (ICLR), 2023
Renze Lou
Kai Zhang
Jian Xie
Yuxuan Sun
Janice Ahn
Hanzi Xu
Yu Su
Wenpeng Yin
355
39
0
05 Dec 2023
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks
Hao Peng
Xiaozhi Wang
Jianhui Chen
Weikai Li
Yunjia Qi
...
Zhili Wu
Kaisheng Zeng
Bin Xu
Lei Hou
Juanzi Li
306
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InstructExcel: A Benchmark for Natural Language Instruction in Excel
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Justin Payan
Swaroop Mishra
Mukul Singh
Carina Negreanu
Christian Poelitz
Chitta Baral
Subhro Roy
Rasika Chakravarthy
Benjamin Van Durme
E. Nouri
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350
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Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning
Lucas Weber
Elia Bruni
Dieuwke Hupkes
324
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Interpreting Indirect Answers to Yes-No Questions in Multiple Languages
Zijie Wang
Md Mosharaf Hossain
Shivam Mathur
Terry Cruz Melo
Kadir Bulut Ozler
...
Jacob Quintero
MohammadHossein Rezaei
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Eduardo Blanco
261
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AutoMix: Automatically Mixing Language Models
Pranjal Aggarwal
Aman Madaan
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Karthik Kappaganthu
Yiming Yang
Shyam Upadhyay
Manaal Faruqui
Mausam
764
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19 Oct 2023
Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Anirudh Som
Karan Sikka
Helen Gent
Ajay Divakaran
A. Kathol
D. Vergyri
323
10
0
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Do pretrained Transformers Learn In-Context by Gradient Descent?
Lingfeng Shen
Aayush Mishra
Daniel Khashabi
480
14
0
12 Oct 2023
Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference
Educational Data Mining (EDM), 2023
Zachary Levonian
Chenglu Li
Wangda Zhu
Anoushka Gade
Owen Henkel
Millie-Ellen Postle
Wanli Xing
AI4Ed
RALM
292
66
0
04 Oct 2023
How FaR Are Large Language Models From Agents with Theory-of-Mind?
Pei Zhou
Aman Madaan
Srividya Pranavi Potharaju
Aditya Gupta
Kevin R. McKee
...
Xiang Ren
Swaroop Mishra
Aida Nematzadeh
Shyam Upadhyay
Manaal Faruqui
LRM
AI4CE
234
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Are Emergent Abilities in Large Language Models just In-Context Learning?
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Sheng Lu
Irina Bigoulaeva
Rachneet Sachdeva
Harish Tayyar Madabushi
Iryna Gurevych
LRM
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489
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Situated Natural Language Explanations
Zining Zhu
Hao Jiang
Jingfeng Yang
Jiapeng Liu
Chao Zhang
Jie Huang
Yifan Gao
Frank Rudzicz
Bing Yin
LRM
367
2
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Toward Zero-Shot Instruction Following
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Renze Lou
Wenpeng Yin
411
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Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
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Mayee F. Chen
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Azalia Mirhoseini
Frederic Sala
Christopher Ré
210
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20 Jul 2023
SINC: Self-Supervised In-Context Learning for Vision-Language Tasks
IEEE International Conference on Computer Vision (ICCV), 2023
Yi-Syuan Chen
Yun-Zhu Song
Cheng Yu Yeo
Bei Liu
Jianlong Fu
Hong-Han Shuai
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316
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Politeness Stereotypes and Attack Vectors: Gender Stereotypes in Japanese and Korean Language Models
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Antonis Maronikolakis
Hinrich Schütze
336
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Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
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Jesse Vig
Philippe Laban
Shafiq Joty
Caiming Xiong
Chien-Sheng Wu
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250
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Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
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Jason Naradowsky
Yusuke Miyao
ELM
294
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Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
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Dehan Kong
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415
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EDM3: Event Detection as Multi-task Text Generation
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268
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Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
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Adithya Kulkarni
Qi Li
VLM
298
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Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
Neural Information Processing Systems (NeurIPS), 2023
Gen Luo
Weihao Ye
Tianhe Ren
Shen Chen
Xiaoshuai Sun
Rongrong Ji
VLM
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383
144
0
24 May 2023
Universal Self-Adaptive Prompting
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Xingchen Wan
Ruoxi Sun
Hootan Nakhost
H. Dai
Julian Martin Eisenschlos
Sercan O. Arik
Tomas Pfister
LRM
288
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"According to ...": Prompting Language Models Improves Quoting from Pre-Training Data
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Orion Weller
Marc Marone
Nathaniel Weir
Dawn J Lawrie
Daniel Khashabi
Benjamin Van Durme
HILM
396
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Distilling Script Knowledge from Large Language Models for Constrained Language Planning
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Siyu Yuan
Jiangjie Chen
Ziquan Fu
Xuyang Ge
Soham Shah
C. R. Jankowski
Yanghua Xiao
Deqing Yang
442
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Improving Cross-Task Generalization with Step-by-Step Instructions
Science China Information Sciences (Sci China Inf Sci), 2023
Yang Wu
Yanyan Zhao
Zhongyang Li
Bing Qin
Kai Xiong
LRM
ALM
194
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08 May 2023
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