Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
BAYES RISK CTC: CONTROLLABLE CTC ALIGNMENT IN SEQUENCE-TO-SEQUENCE TASKS
Authors: Jinchuan Tian, Brian Yan, Jianwei Yu, CHAO WENG, Dong Yu, Shinji Watanabe
ICLR 2023 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimentally, the proposed BRCTC, along with a trimming approach, enables us to reduce the inference cost of ofο¬ine models by up to 47% without performance degradation; BRCTC also cuts down the overall latency of online systems to an unseen level |
| Researcher Affiliation | Collaboration | Jinchuan Tian, Jianwei Yu , Chao Weng, Dong Yu Tencent AI LAB EMAIL Brian Yan & Shinji Watanabe Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA EMAIL |
| Pseudocode | No | No pseudocode or clearly labeled algorithm block was found. |
| Open Source Code | Yes | Code release: https://github.com/espnet/espnet. |
| Open Datasets | Yes | Datasets: Experiments are mainly conducted for ASR, but MT and ST are also included. For ASR, the experiments are on Aishell-1 (Bu et al., 2017), Aishell-2 (Du et al., 2018), Wenetspeech (Zhang et al., 2022) and Librispeech (Panayotov et al., 2015). |
| Dataset Splits | Yes | Aishell-1 dev / test... Wenetspeech dev / meeting / net |
| Hardware Specification | Yes | All experiments are conducted on Nvidia V100 GPUs. All the inference jobs are conducted on Intel(R) Xeon(R) Platinum 8255C CPU (2.5GHz). |
| Software Dependencies | No | No specific version numbers for ancillary software dependencies were provided. |
| Experiment Setup | Yes | Implementation details are in appendix D and E for reproducibility. Details for the optimization and the setting for BRCTC are shown in table 7. |