Learning from Task Descriptions

16 November 2020

Papers citing "Learning from Task Descriptions"

21 / 21 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 76 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 39 1 0 18 Jun 2024
ICE-SEARCH: A Language Model-Driven Feature Selection Approach T. Yang Tim Tianyi Yang Fuyuan Lyu Shaoshan Liu Xue Xue Liu 32 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 34 10 0 13 Jul 2023
Prompting with Pseudo-Code Instructions Mayank Mishra Prince Kumar Riyaz Ahmad Bhat V. Rudramurthy Danish Contractor Srikanth G. Tamilselvam 35 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 26 0 0 12 Apr 2023
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models Changan Niu Chuanyi Li Vincent Ng Bin Luo ELM ALM 32 9 0 08 Feb 2023
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning Sayan Ghosh Rakesh R Menon Shashank Srivastava 22 2 0 18 Dec 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 36 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 8 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 27 63 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 27 778 0 16 Apr 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 16 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 19 0 0 27 Sep 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts? Albert Webson Ellie Pavlick LRM 30 351 0 02 Sep 2021
KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers Chia-Hsuan Lee Oleksandr Polozov Matthew Richardson LMTD RALM 10 86 0 22 Jun 2021
Learning to Generate Task-Specific Adapters from Task Description Qinyuan Ye Xiang Ren 107 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 19 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 408 2,584 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 237 319 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 294 6,950 0 20 Apr 2018