Differentiable Scheduled Sampling for Credit Assignment

23 April 2017

Papers citing "Differentiable Scheduled Sampling for Credit Assignment"

27 / 27 papers shown

Title
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens Zhepeng Cen Yao Liu Siliang Zeng Pratik Chaudhar Huzefa Rangwala George Karypis Rasool Fakoor SyDa AIFin 34 3 0 18 Oct 2024
Improving Autoregressive Training with Dynamic Oracles Jianing Yang Harshine Visvanathan Yilin Wang Xinyi Hu Matthew R. Gormley 46 0 0 13 Jun 2024
Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning Swaroop Nath H. Khadilkar Pushpak Bhattacharyya OffRL 15 0 0 29 Nov 2023
Learning to Generate Better Than Your LLM Jonathan D. Chang Kianté Brantley Rajkumar Ramamurthy Dipendra Kumar Misra Wen Sun 19 40 0 20 Jun 2023
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization Rajkumar Ramamurthy Prithviraj Ammanabrolu Kianté Brantley Jack Hessel R. Sifa Christian Bauckhage Hannaneh Hajishirzi Yejin Choi OffRL 31 239 0 03 Oct 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
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation Michalis Korakakis Andreas Vlachos CLL 23 2 0 13 Sep 2021
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation Yijin Liu Fandong Meng Yufeng Chen Jinan Xu Jie Zhou 20 16 0 30 Aug 2021
Language Model Evaluation in Open-ended Text Generation An Nguyen 36 3 0 08 Aug 2021
Confidence-Aware Scheduled Sampling for Neural Machine Translation Yijin Liu Fandong Meng Yufeng Chen Jinan Xu Jie Zhou 24 14 0 22 Jul 2021
Mixed Cross Entropy Loss for Neural Machine Translation Haoran Li Wei Lu 11 16 0 30 Jun 2021
$Alleviate Exposure Bias in Sequence Prediction \\ with Recurrent Neural Networks$ Alleviate Exposure Bias in Sequence Prediction \\ with Recurrent Neural Networks Liping Yuan Jiangtao Feng Xiaoqing Zheng Xuanjing Huang 23 1 0 22 Mar 2021
Autoregressive Knowledge Distillation through Imitation Learning Alexander Lin Jeremy Wohlwend Howard Chen Tao Lei 42 37 0 15 Sep 2020
Sparsifying Transformer Models with Trainable Representation Pooling Michal Pietruszka Łukasz Borchmann Lukasz Garncarek 13 10 0 10 Sep 2020
Non-Autoregressive Neural Dialogue Generation Qinghong Han Yuxian Meng Fei Wu Jiwei Li 22 13 0 11 Feb 2020
LAVA NAT: A Non-Autoregressive Translation Model with Look-Around Decoding and Vocabulary Attention Xiaoya Li Yuxian Meng Arianna Yuan Fei Wu Jiwei Li 32 12 0 08 Feb 2020
Scheduled Sampling for Transformers Tsvetomila Mihaylova André F. T. Martins 17 63 0 18 Jun 2019
Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach Gyeong-In Yu Saeed Amizadeh Sehoon Kim Artidoro Pagnoni Byung-Gon Chun Markus Weimer Matteo Interlandi MedIm AI4CE 8 4 0 10 Jun 2019
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search Kartik Goyal Chris Dyer Taylor Berg-Kirkpatrick 12 16 0 15 Apr 2019
SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression Christos Baziotis Ion Androutsopoulos Ioannis Konstas Alexandros Potamianos 17 83 0 07 Apr 2019
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation Weijia Xu Xing Niu Marine Carpuat 16 10 0 04 Apr 2019
Error-Correcting Neural Sequence Prediction James OÑeill Danushka Bollegala 13 1 0 21 Jan 2019
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder Caio Corro Ivan Titov BDL 11 56 0 25 Jul 2018
Deep Reinforcement Learning For Sequence to Sequence Models Yaser Keneshloo Tian Shi Naren Ramakrishnan Chandan K. Reddy AIMat 3DV OffRL 27 208 0 24 May 2018
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models Kartik Goyal Graham Neubig Chris Dyer Taylor Berg-Kirkpatrick 3DV 37 40 0 01 Aug 2017
Style Transfer from Non-Parallel Text by Cross-Alignment T. Shen Tao Lei Regina Barzilay Tommi Jaakkola 29 767 0 26 May 2017
Towards Decoding as Continuous Optimization in Neural Machine Translation Cong Duy Vu Hoang Gholamreza Haffari Trevor Cohn AI4CE 14 42 0 11 Jan 2017