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    Home»Machine Learning & Research»Empirical Strategies in Pure Language Processing (EMNLP) 2025
    Machine Learning & Research

    Empirical Strategies in Pure Language Processing (EMNLP) 2025

    Oliver ChambersBy Oliver ChambersNovember 2, 2025No Comments4 Mins Read
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    Empirical Strategies in Pure Language Processing (EMNLP) 2025
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    Apple is presenting new work on the annual Empirical Strategies in Pure Language Processing (EMNLP) convention, which takes place in individual from November 4 – 9, in Suzhou, China. EMNLP focuses on analysis surrounding the science and know-how of spoken language processing.

    Under is the schedule of Apple-sponsored workshops and occasions at EMNLP 2025.

    Leap to a bit:

    Schedule

    Cease by the Apple sales space within the Suzhou Worldwide Expo Middle throughout exhibition hours. All occasions listed in CST (Suzhou native time):

    • Wednesday, November 5: 09:00 – 18:00
    • Thursday, November 6: 09:00 – 18:00
    • Friday, November 7: 09:00 – 16:00

    Schedule

    Wednesday, November 5

    • DEMO
    • MLX
    • 09:00 – 18:00, Apple Sales space
    • We exhibit massive mannequin inference and coaching on gadget utilizing MLX. MLX is a versatile array framework that’s optimized for Apple silicon and delivered to you by Apple machine studying analysis. It permits coaching and inference of arbitrarily complicated fashions on Apple silicon powered units with nice brevity and suppleness.
    • PRESENTATION, POSTER
    • Evaluating Analysis Metrics — The Mirage of Hallucination Detection
    • 13:00 – 14:00, Findings 1, Corridor C3
    • Atharva Kulkarni (USC), Yuan Zhang, Joel Ruben Antony Moniz (DoorDash), Hugh Ge, Andy Tseng, Dhivya Piraviperumal, Swabha Swayamdipta (USC), Hong Yu

    Thursday, November 6

    • DEMO
    • MLX
    • 9:00 – 18:00, Apple Sales space
    • We exhibit massive mannequin inference and coaching on gadget utilizing MLX. MLX is a versatile array framework that’s optimized for Apple silicon and delivered to you by Apple machine studying analysis. It permits coaching and inference of arbitrarily complicated fashions on Apple silicon powered units with nice brevity and suppleness.

    Friday, November 7

    • WORKSHOP
    • PolyNorm: Few-Shot LLM-Primarily based Textual content Normalization for Textual content-to-Speech
    • 08:00 – 09:00, Collect Session 4 (Digital)
    • Michel Wong, Haotian He, Ali Alshehri, Sophia Kao

    Saturday, November 8

    Accepted Papers

    AuthorsEileen Pan†, Anna Web optimization Gyeong Choi†, Maartje ter Hoeve, Skyler Seto, Allison Koenecke†‡

    Assessing the Function of Information High quality in Coaching Bilingual Language Fashions

    Skyler Seto, Maartje ter Hoeve, Maureen de Seyssel, David Grangier

    AuthorsNivedha Sivakumar*, Natalie Mackraz*, Samira Khorshidi, Krishna Patel†, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff

    AuthorsXinze Wang, Chen Chen, Yinfei Yang, Hong-You Chen, Bowen Zhang, Aditya Pal, Xiangxin Zhu, Xianzhi Du

    AuthorsMaureen de Seyssel*, Jie Chi*, Skyler Seto, Maartje ter Hoeve, Masha Fedzechkina, Natalie Schluter

    AuthorsAtharva Kulkarni†*, Yuan Zhang, Joel Ruben Antony Moniz*, Xiou Ge, Bo-Hsiang Tseng, Dhivya Piraviperumal, Swabha Swayamdipta†, Hong Yu

    AuthorsBrihi Joshi**†, Xiang Ren†, Swabha Swayamdipta†, Rik Koncel-Kedziorski, Tim Paek

    AuthorsYajie Li†, Albert Galimov†, Mitra Datta Ganapaneni†, Pujitha Thejaswi†, De Meng, Priyanshu Kumar, Saloni Potdar

    AuthorsCongzheng Tune, Xinyu Tang

    PolyNorm: Few-Shot LLM-Primarily based Textual content Normalization for Textual content-to-Speech

    Michel Wong, Haotian He, Ali Alshehri, Sophia Kao

    AuthorsRik Koncel-Kedziorski, Brihi Joshi†, Tim Paek

    AuthorsNikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Mohammad Rastegari, Mahyar Najibi

    AuthorsMatthias Sperber, Maureen de Seyssel, Jiajun Bao, Matthias Paulik

    Acknowledgements

    Saloni Potdar is an Business Monitor Chair for EMNLP 2025.

    Qingqing Cao and Natalie Schluter are Senior Space Chairs.

    Richard Bai, Maartje ter Hoeve, Chao Jiang, Rik Koncel-Kedziorski, and Yizhe Zhang are Space Chairs.

    Jason Dong, Lu Ren and Shu W. are Session Chairs.

    Richard Bai is a Workshop Co-Organizer for Widening Pure Language Processing (WiNLP).

    Maartje ter Hoeve, Katherine Metcalf, and Andrew Silva are Workshop Co-Organizers for Tailoring AI: Exploring Lively and Passive LLM Personalization (PALS).

    Natalie Schluter and Barry-John Theobald serve on the Workshop Advisory Board for Tailoring AI: Exploring Lively and Passive LLM Personalization (PALS).

    Maureen de Seyssel is a Workshop Reviewer for Tailoring AI: Exploring Lively and Passive LLM Personalization (PALS).

    Aswarth Abhilash Dara, Mozhdeh Gheini, and Stephan Peitz are Reviewers for the EMNLP 2025 Business Monitor.

    Arnav Arora, Jie Chi, Jason Dong, Qin Gao, Xintong Li, De Meng, Alex Papangelis, Shuwen Qiu, Robin Schmidt, Dayu Wang, and Hong Yu are Reviewers for EMNLP 2025.

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