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Xi Xu

7 accepted papers

2025

CA*: Addressing Evaluation Pitfalls in Computation-Aware Latency for Simultaneous Speech Translation

NAACL 2025findings

Simultaneous speech translation (SimulST) systems must balance translation quality with response time, making latency measurement crucial for evaluating their real-world performance. However, there has been a longstanding belief that current metrics yield unrealistically high latency measurements in…

Cited by 0SourcePDFScholar
2025

InfiniSST: Simultaneous Translation of Unbounded Speech with Large Language Model

ACL 2025finding

Simultaneous translation of unbounded streaming speech remains a challenging problem due to the need for effectively processing the historical speech context and past translations so that quality and latency, including computation overhead, can be balanced. Most prior works assume pre-segmented spee…

2024

Translation Canvas: An Explainable Interface to Pinpoint and Analyze Translation Systems

EMNLP 2024system demonstrations

With the rapid advancement of machine translation research, evaluation toolkits have become essential for benchmarking system progress. Tools like COMET and SacreBLEU offer single quality score assessments that are effective for pairwise system comparisons. However, these tools provide limited insig…

Cited by 0SourcePDFScholar
2023

How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey

EMNLP 2023long findings

Transferability estimation has been attached to great attention in the computer vision fields. Researchers try to estimate with low computational cost the performance of a model when transferred from a source task to a given target task. Considering the effectiveness of such estimations, the commun…

Cited by 0SourcecodeScholar
2023

Unsupervised Paraphrasing under Syntax Knowledge

AAAI 2023technical

The soundness of syntax is an important issue for the paraphrase generation task. Most methods control the syntax of paraphrases by embedding the syntax and semantics in the generation process, which cannot guarantee the syntactical correctness of the results. Different from them, in this paper we…

Cited by 4SourcePDFScholar
2022

Fisheye object detection based on standard image datasets with 24-points regression strategy

IROS 2022poster

Fisheye object detection is a difficult task in robotics and autonomous driving. One of the reasons is that the fisheye datasets are inferior to standard image datasets in scale and quantity, which inspires the idea of using standard image datasets for fisheye object detection. However, the models t…

Cited by 4SourcecodeScholar