ACL Conference 2024 – Apple Machine Learning Research


Apple is sponsoring the annual meeting of the Association for Computational Linguistics (ACL), which takes place in person from August 11 to 16, in Bangkok, Thailand. ACL is a conference in the field of computational linguistics, covering a broad spectrum of diverse research areas that are concerned with computational approaches to natural language. Below is the schedule of Apple-sponsored workshops and events at ACL 2024.

##Schedule

Stop by the Apple booth in Centara Grand and Bangkok Convention Center, Floor 22, Booth #1, from 9:00 – 17:30 (UTC+7) on August 12, 13 and 14.

Monday, August 12

Tuesday, August 13

Wednesday, August 14

Thursday, August 15

Friday, August 16

Thursday, August 22

Accepted Papers

Direct Large Language Model Alignment Through Self-Rewarding Contrast Prompt Distillation

law Liu, Felix Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen

LLM in a Flash: Efficient Large Language Model Inference with Limited Memory

Keivan Alizadeh Vahid, Iman Mirzadeh, Dmitry Belenko, Karen Khatamifard, Minsik Cho, Carlo C Del Mundo, Mohammad Rastegari, Mehrdad Farajtabar

On Efficient and Statistical Quality Estimation for Data Annotation

Jan-Christoph Klie, Juan Haladjian, Marc Kirchner, Rahul Nair

Probing the Multi-Turn Planning Capabilities of LLMs via 20 Question Games

Yizhe Zhang, Jiarui Lu, Navdeep Jaitly

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Pratyush Maini, Skyler Seto, David Grangier, Richard Bai, Yizhe Zhang, Navdeep Jaitly

Time Sensitive Knowledge Editing through Efficient Finetuning

Hugh Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan Khalilabad, Yunyao Li

TOAD: Task-Oriented Automatic Dialogs with Diverse Response Styles

Yinhong Liu, Yimai Fang, David Vandyke, Nigel Collier

Workshop Accepted Papers

Applying RLAIF for Code Generation with API-usage in Lightweight LLMs

Sujan Dutta, Sayantan Mahinder, Raviteja Anantha Ramesh, Bortik Bandyopadhyay

ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models

Ronak Pradeep, Daniel Lee, Ali Mousavi, Jeff Pound, Yisi Sang, Jimmy Lin, Ihab Ilyas, Saloni Potdar, Mostafa Arefiyan Khalilabad, Yunyao Li

Generating Gender Alternatives in Machine Translation

Sarthak Garg, Mozhdeh Gheini, Clara Emmanuel, Tatiana Likhomanenko, Qin Gao, Matthias Paulik

KGLens: Towards Efficient and Effective Knowledge Probing of Large Language Models with Knowledge Graphs

Daniel Zheng, Richard Bai, Yizhe Zhang, Yi Su, Xiaochuan Niu, Navdeep Jaitly

Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages

Zhuoyuan Mao, Yen Yu

Acknowledgements

Yizhe Zhang is an Area Chair for ACL 2024.

Maartje ter Hoeve, Matthias Sperber, Mingbin Xu, Richard Bai, and Yimai Fang are reviewers for ACL 2024.



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