Learning from Task Descriptions

16 November 2020

Papers citing "Learning from Task Descriptions"

34 / 34 papers shown

Title
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs Leo Micklem Yan-Bin Shen Wenjing Luo Yan Zhang Hao Liang ... Weipeng Chen Bin Cui Blair Thornton Wentao Zhang Zenan Zhou ELM 84 16 0 02 Aug 2024
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions Huanxuan Liao Yao Xu Shizhu He Yuanzhe Zhang Yanchao Hao Shengping Liu Kang Liu Jun Zhao 53 1 0 18 Jun 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 ELM 38 25 0 23 Apr 2024
ICE-SEARCH: A Language Model-Driven Feature Selection Approach T. Yang Tim Tianyi Yang Fuyuan Lyu Shaoshan Liu Xue Xue Liu 36 4 0 28 Feb 2024
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering Pei Ke Fei Huang Fei Mi Yasheng Wang Qun Liu Xiaoyan Zhu Minlie Huang ReLM ELM 36 10 0 13 Jul 2023
VIP5: Towards Multimodal Foundation Models for Recommendation Shijie Geng Juntao Tan Shuchang Liu Zuohui Fu Yongfeng Zhang 32 71 0 23 May 2023
Prompting with Pseudo-Code Instructions Mayank Mishra Prince Kumar Riyaz Ahmad Bhat V. Rudramurthy Danish Contractor Srikanth G. Tamilselvam 45 13 0 19 May 2023
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity Anjana Arunkumar Shubham Sharma Rakhi Agrawal Sriramakrishnan Chandrasekaran Chris Bryan 34 0 0 12 Apr 2023
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models Changan Niu Chuanyi Li Vincent Ng Bin Luo ELM ALM 34 9 0 08 Feb 2023
Self-Instruct: Aligning Language Models with Self-Generated Instructions Yizhong Wang Yeganeh Kordi Swaroop Mishra Alisa Liu Noah A. Smith Daniel Khashabi Hannaneh Hajishirzi ALM SyDa LRM 47 2,087 0 20 Dec 2022
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning Sayan Ghosh Rakesh R Menon Shashank Srivastava 30 2 0 18 Dec 2022
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 129 95 0 06 Oct 2022
InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning Prakhar Gupta Cathy Jiao Yi-Ting Yeh Shikib Mehri M. Eskénazi Jeffrey P. Bigham ALM 44 47 0 25 May 2022
When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning Orion Weller Kevin Seppi Matt Gardner 22 21 0 17 May 2022
Improving In-Context Few-Shot Learning via Self-Supervised Training Mingda Chen Jingfei Du Ramakanth Pasunuru Todor Mihaylov Srini Iyer Ves Stoyanov Zornitsa Kozareva SSL AI4MH 38 64 0 03 May 2022
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks Yizhong Wang Swaroop Mishra Pegah Alipoormolabashi Yeganeh Kordi Amirreza Mirzaei ... Chitta Baral Yejin Choi Noah A. Smith Hannaneh Hajishirzi Daniel Khashabi ELM 64 790 0 16 Apr 2022
Evaluating Prompts Across Multiple Choice Tasks In a Zero-Shot Setting Gabriel Orlanski LRM 27 2 0 29 Mar 2022
One-Shot Learning from a Demonstration with Hierarchical Latent Language Nathaniel Weir Xingdi Yuan Marc-Alexandre Côté Matthew J. Hausknecht Romain Laroche Ida Momennejad H. V. Seijen Benjamin Van Durme BDL 27 6 0 09 Mar 2022
Every time I fire a conversational designer, the performance of the dialog system goes down Giancarlo A. Xompero Michele Mastromattei Samir Salman Cristina Giannone Andrea Favalli Raniero Romagnoli Fabio Massimo Zanzotto 24 0 0 27 Sep 2021
A Recipe For Arbitrary Text Style Transfer with Large Language Models Emily Reif Daphne Ippolito Ann Yuan Andy Coenen Chris Callison-Burch Jason W. Wei 226 117 0 08 Sep 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts? Albert Webson Ellie Pavlick LRM 53 355 0 02 Sep 2021
Combining Transformers with Natural Language Explanations Federico Ruggeri Marco Lippi Paolo Torroni 25 1 0 02 Sep 2021
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 205 104 0 15 Jul 2021
KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers Chia-Hsuan Lee Oleksandr Polozov Matthew Richardson LMTD RALM 26 86 0 22 Jun 2021
Cross-Task Generalization via Natural Language Crowdsourcing Instructions Swaroop Mishra Daniel Khashabi Chitta Baral Hannaneh Hajishirzi LRM 60 719 0 18 Apr 2021
Generating Datasets with Pretrained Language Models Timo Schick Hinrich Schütze 24 234 0 15 Apr 2021
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections Ruiqi Zhong Kristy Lee Zheng-Wei Zhang Dan Klein 39 166 0 10 Apr 2021
Towards General Purpose Vision Systems Tanmay Gupta Amita Kamath Aniruddha Kembhavi Derek Hoiem 11 50 0 01 Apr 2021
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data Peter Hase Joey Tianyi Zhou XAI 25 87 0 03 Feb 2021
Learning to Generate Task-Specific Adapters from Task Description Qinyuan Ye Xiang Ren 115 29 0 02 Jan 2021
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms Pei Zhou Rahul Khanna Seyeon Lee Bill Yuchen Lin Daniel E. Ho Jay Pujara Xiang Ren ReLM 21 36 0 02 May 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 454 2,589 0 03 Sep 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 242 320 0 21 Aug 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,996 0 20 Apr 2018