5 citations · 15 across the 18 of their papers we have counts for
19 papers
AutoTerm-SST: Adaptive Terminology Memory with Zero Session-Time Setup for Streaming Speech Translation
Jiaxuan Luo, Siqi Ouyang, Lei Li
Retrieval-augmented speech translation improves rare terminology, but systems such as RASST still assume that users provide a glossary before each session. That assumption is incon…
A Practical Evaluation Method for Long-Form Simultaneous Speech-to-Speech Translation
Yulin Xue, Siqi Ouyang, Lei Li
Simultaneous speech-to-speech translation (SimulS2ST) enables real-time cross-lingual communication, but existing evaluation has focused largely on short or pre-segmented speech ra…
Hierarchical Policy Optimization for Simultaneous Translation of Unbounded Speech
Siqi Ouyang, Shuoyang Ding, Oleksii Hrinchuk +4
Simultaneous speech translation (SST) generates translations while receiving partial speech input. Recent advances show that large language models (LLMs) can substantially improve…
Mending the Holes: Mitigating Reward Hacking in Reinforcement Learning for Multilingual Translation
Yifeng Liu, Siqi Ouyang, Yatish Hosmane Revanasiddappa +1
Large Language Models (LLMs) have demonstrated remarkable capability in machine translation on high-resource language pairs, yet their performance on low-resource translation still…
RASST: Retrieval-Augmented Simultaneous Speech Translation
Jiaxuan Luo, Siqi Ouyang, Jiaxing Xu +1
Simultaneous speech translation produces target text incrementally from partial speech input. Recent speech large language models have markedly improved SST quality but still strug…
CMU's IWSLT 2025 Simultaneous Speech Translation System
Siqi Ouyang, Xi Xu, Lei Li
This paper presents CMU's submission to the IWSLT 2025 Simultaneous Speech Translation (SST) task for translating unsegmented English speech into Chinese and German text in a strea…
InfiniSST: Simultaneous Translation of Unbounded Speech with Large Language Model
Siqi Ouyang, Xi Xu, Lei Li
Simultaneous translation of unbounded streaming speech remains a challenging problem due to the need for effectively processing the history speech context and past translations so…
CA*: Addressing Evaluation Pitfalls in Computation-Aware Latency for Simultaneous Speech Translation
Xi Xu, Wenda Xu, Siqi Ouyang +1
Simultaneous speech translation (SimulST) systems must balance translation quality with response time, making latency measurement crucial for evaluating their real-world performanc…
Translation Canvas: An Explainable Interface to Pinpoint and Analyze Translation Systems
Chinmay Dandekar, Wenda Xu, Xi Xu +2
With the rapid advancement of machine translation research, evaluation toolkits have become essential for benchmarking system progress. Tools like COMET and SacreBLEU offer single…
Anticipating Future with Large Language Model for Simultaneous Machine Translation
Siqi Ouyang, Oleksii Hrinchuk, Zhehuai Chen +4
Simultaneous machine translation (SMT) takes streaming input utterances and incrementally produces target text. Existing SMT methods mainly use the partial utterance that has alrea…
FASST: Fast LLM-based Simultaneous Speech Translation
Siqi Ouyang, Xi Xu, Chinmay Dandekar +1
Simultaneous speech translation (SST) takes streaming speech input and generates text translation on the fly. Existing methods either have high latency due to recomputation of inpu…
CMU's IWSLT 2024 Simultaneous Speech Translation System
Xi Xu, Siqi Ouyang, Brian Yan +5
This paper describes CMU's submission to the IWSLT 2024 Simultaneous Speech Translation (SST) task for translating English speech to German text in a streaming manner. Our end-to-e…
Structure-Based Drug Design via 3D Molecular Generative Pre-training and Sampling
Yuwei Yang, Siqi Ouyang, Xueyu Hu +3
Structure-based drug design aims at generating high affinity ligands with prior knowledge of 3D target structures. Existing methods either use conditional generative model to learn…
Efficient Monotonic Multihead Attention
Xutai Ma, Anna Sun, Siqi Ouyang +2
We introduce the Efficient Monotonic Multihead Attention (EMMA), a state-of-the-art simultaneous translation model with numerically-stable and unbiased monotonic alignment estimati…
AutoPlan: Automatic Planning of Interactive Decision-Making Tasks With Large Language Models
Siqi Ouyang, Lei Li
Recent large language models (LLMs) are promising for making decisions in grounded environments. However, LLMs frequently fail in complex decision-making tasks due to the misalignm…
WACO: Word-Aligned Contrastive Learning for Speech Translation
Siqi Ouyang, Rong Ye, Lei Li
End-to-end Speech Translation (E2E ST) aims to directly translate source speech into target text. Existing ST methods perform poorly when only extremely small speech-text data are…
Pre-trained Language Models Can be Fully Zero-Shot Learners
Xuandong Zhao, Siqi Ouyang, Zhiguo Yu +2
How can we extend a pre-trained model to many language understanding tasks, without labeled or additional unlabeled data? Pre-trained language models (PLMs) have been effective for…
Structured Knowledge Grounding for Question Answering
Yujie Lu, Siqi Ouyang, Kairui Zhou
Can language models (LM) ground question-answering (QA) tasks in the knowledge base via inherent relational reasoning ability? While previous models that use only LMs have seen som…
On the Impact of Noises in Crowd-Sourced Data for Speech Translation
Siqi Ouyang, Rong Ye, Lei Li
Training speech translation (ST) models requires large and high-quality datasets. MuST-C is one of the most widely used ST benchmark datasets. It contains around 400 hours of speec…