activity
20172026
most citedMacro-Average: Rare Types Are Important Too

33 citations · 91 across the 12 of their papers we have counts for

collaborators

12 papers

cs.DC2026

pigzpp: Fast, Parallel, Portable Compression for the Whole Stack

Thamme Gowda

pigz is a widely deployed parallel gzip utility, but its process-global mutable state means that it was not designed as a reentrant, directly embeddable library. pigzpp is a from-s…

cs.CL2025

Preliminary Ranking of WMT25 General Machine Translation Systems

Tom Kocmi, Eleftherios Avramidis, Rachel Bawden +25

We present the preliminary rankings of machine translation (MT) systems submitted to the WMT25 General Machine Translation Shared Task, as determined by automatic evaluation metric…

cs.CL2024

PyMarian: Fast Neural Machine Translation and Evaluation in Python

Thamme Gowda, Roman Grundkiewicz, Elijah Rippeth +2

The deep learning language of choice these days is Python; measured by factors such as available libraries and technical support, it is hard to beat. At the same time, software wri…

cs.CL2024★ 2 cited

Preliminary WMT24 Ranking of General MT Systems and LLMs

Tom Kocmi, Eleftherios Avramidis, Rachel Bawden +18

This is the preliminary ranking of WMT24 General MT systems based on automatic metrics. The official ranking will be a human evaluation, which is superior to the automatic ranking…

cs.CL2024

BotEval: Facilitating Interactive Human Evaluation

Hyundong Cho, Thamme Gowda, Yuyang Huang +3

Following the rapid progress in natural language processing (NLP) models, language models are applied to increasingly more complex interactive tasks such as negotiations and conver…

cs.CL2023

SOTASTREAM: A Streaming Approach to Machine Translation Training

Matt Post, Thamme Gowda, Roman Grundkiewicz +3

Many machine translation toolkits make use of a data preparation step wherein raw data is transformed into a tensor format that can be used directly by the trainer. This preparatio…