Semantic Noise Matters for Neural Natural Language Generation

10 November 2019

Papers citing "Semantic Noise Matters for Neural Natural Language Generation"

25 / 25 papers shown

Title
SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation Song Duong Florian Le Bronnec Alexandre Allauzen Vincent Guigue Alberto Lumbreras Laure Soulier Patrick Gallinari HILM 48 0 0 20 Feb 2025
$Se^2$ : Sequential Example Selection for In-Context Learning Haoyu Liu Jianfeng Liu Shaohan Huang Yuefeng Zhan Hao Sun Weiwei Deng Furu Wei Qi Zhang 25 3 0 21 Feb 2024
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning A. Li Mingyue Shang Evangelia Spiliopoulou Jie Ma Patrick K. L. Ng ... William Yang Wang Kathleen McKeown Vittorio Castelli Dan Roth Bing Xiang 38 2 0 10 Aug 2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? Chengwei Qin Q. Li Ruochen Zhao Shafiq R. Joty VLM LRM 23 15 0 16 Feb 2023
Contrastive Error Attribution for Finetuned Language Models Faisal Ladhak Esin Durmus Tatsunori Hashimoto HILM 25 9 0 21 Dec 2022
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model Saleh Soltan Shankar Ananthakrishnan Jack G. M. FitzGerald Rahul Gupta Wael Hamza ... Mukund Sridhar Fabian Triefenbach Apurv Verma Gökhan Tür Premkumar Natarajan 48 82 0 02 Aug 2022
Innovations in Neural Data-to-text Generation: A Survey Mandar Sharma Ajay K. Gogineni Naren Ramakrishnan 29 10 0 25 Jul 2022
Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-Experts Qinyuan Ye Juan Zha Xiang Ren MoE 18 12 0 25 May 2022
UL2: Unifying Language Learning Paradigms Yi Tay Mostafa Dehghani Vinh Q. Tran Xavier Garcia Jason W. Wei ... Tal Schuster H. Zheng Denny Zhou N. Houlsby Donald Metzler AI4CE 57 294 0 10 May 2022
Neural Pipeline for Zero-Shot Data-to-Text Generation Zdeněk Kasner Ondrej Dusek 16 33 0 30 Mar 2022
Survey of Hallucination in Natural Language Generation Ziwei Ji Nayeon Lee Rita Frieske Tiezheng Yu D. Su ... Delong Chen Wenliang Dai Ho Shu Chan Andrea Madotto Pascale Fung HILM LRM 40 2,232 0 08 Feb 2022
Discourse-Aware Soft Prompting for Text Generation Marjan Ghazvininejad Vladimir Karpukhin Vera Gor Asli Celikyilmaz 23 6 0 10 Dec 2021
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation Shailza Jolly Zi Xuan Zhang Andreas Dengel Lili Mou 27 11 0 06 Dec 2021
BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation Thomas Scialom Felix Hill 20 7 0 18 Oct 2021
Finetuned Language Models Are Zero-Shot Learners Jason W. Wei Maarten Bosma Vincent Zhao Kelvin Guu Adams Wei Yu Brian Lester Nan Du Andrew M. Dai Quoc V. Le ALM UQCV 33 3,561 0 03 Sep 2021
Underreporting of errors in NLG output, and what to do about it Emiel van Miltenburg Miruna Clinciu Ondrej Dusek Dimitra Gkatzia Stephanie Inglis ... Saad Mahamood Emma Manning S. Schoch Craig Thomson Luou Wen 25 38 0 02 Aug 2021
Automatic Construction of Evaluation Suites for Natural Language Generation Datasets Simon Mille Kaustubh D. Dhole Saad Mahamood Laura Perez-Beltrachini Varun Gangal Mihir Kale Emiel van Miltenburg Sebastian Gehrmann ELM 34 22 0 16 Jun 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 211 179 0 18 Apr 2021
Structural Information Preserving for Graph-to-Text Generation Linfeng Song Ante Wang Jinsong Su Yue Zhang Kun Xu Yubin Ge Dong Yu 16 52 0 12 Feb 2021
Controlling Hallucinations at Word Level in Data-to-Text Generation Clément Rebuffel Marco Roberti Laure Soulier Geoffrey Scoutheeten R. Cancelliere Patrick Gallinari 8 66 0 04 Feb 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Sebastian Gehrmann Tosin P. Adewumi Karmanya Aggarwal Pawan Sasanka Ammanamanchi Aremu Anuoluwapo ... Nishant Subramani Wei-ping Xu Diyi Yang Akhila Yerukola Jiawei Zhou VLM 246 285 0 02 Feb 2021
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference Ondrej Dusek Zdeněk Kasner 22 64 0 21 Nov 2020
A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems Craig Thomson Ehud Reiter 14 51 0 08 Nov 2020
PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation Clément Rebuffel Laure Soulier Geoffrey Scoutheeten Patrick Gallinari 6 9 0 21 Oct 2020
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 212 1,207 0 12 Jun 2017