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
- LLM in a Flash: Efficient Large Language Model Inference with Limited Memory
- 14:00 - 15:30 UTC+7, Efficient/Low-Resource Methods for NLP II, Lotus Suite 1-4
- 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
- 14:00 - 15:30 UTC+7, Resources and Evaluation II, World Ballroom A
- Jan-Christoph Klie, Juan Haladjian, Marc Kirchner, Rahul Nair
- Direct Large Language Model Alignment Through Self-Rewarding Contrast Prompt Distillation
- 16:00 - 17:30 UTC+7, In-Person Poster Session 3, Convention Center A1
- law Liu, Felix Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen
Tuesday, August 13
- Probing the Multi-Turn Planning Capabilities of LLMs via 20 Question Games
- 10:30 - 12:00 UTC+7, In-Person Poster Session 4, Convention Center A1
- Yizhe Zhang, Jiarui Lu, Navdeep Jaitly
- TOAD: Task-Oriented Automatic Dialogs with Diverse Response Styles
- 12:15 - 13:15 UTC+7, Findings In-Person Poster Session 3, Convention Center A1
- Yinhong Liu, Yimai Fang, David Vandyke, Nigel Collier
- On Efficient and Statistical Quality Estimation for Data Annotation
- 16:00 - 17:30 UTC+7, In-Person Poster Session 5, Convention Center A1
- Jan-Christoph Klie, Juan Haladjian, Marc Kirchner, Rahul Nair
Wednesday, August 14
- LLM in a Flash: Efficient Large Language Model Inference with Limited Memory
- 10:30 - 12:00 UTC+7, In-Person Poster Session 6, Convention Center A1
- Keivan Alizadeh Vahid, Iman Mirzadeh, Dmitry Belenko, Karen Khatamifard, Minsik Cho, Carlo C Del Mundo, Mohammad Rastegari, Mehrdad Farajtabar
- Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
- 10:30 - 12:00 UTC+7, In-Person Poster Session 6, Convention Center A1
- Pratyush Maini, Skyler Seto, David Grangier, Richard Bai, Yizhe Zhang, Navdeep Jaitly
Thursday, August 15
- The Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT) 2024
- 9:00 - 19:40 UTC+7, Lotus Suite 1&2
- Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages
- 11:00 - 11:18 UTC+7, Lotus Suite 1&2
- Zhuoyuan Mao, Yen Yu
- Natural Language Reasoning and Structured Explanations Workshop 2024
- 8:55 - 17:30 UTC+7, Lotus Suite 7
- Applying RLAIF for Code Generation with API-usage in Lightweight LLMs
- 16:00 - TBA UTC+7, Lotus Suite 7
- Sujan Dutta, Sayantan Mahinder, Raviteja Anantha Ramesh, Bortik Bandyopadhyay
- Towards Knowledgeable Language Models 2024
- 9:00am - 17:30 UTC+7, Lotus Suite 10
- ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models
- 16:00 - 1730 UTC+7, Lotus Suite 10
- Ronak Pradeep, Daniel Lee, Ali Mousavi, Jeff Pound, Yisi Sang, Jimmy Lin, Ihab Ilyas, Saloni Potdar, Mostafa Arefiyan Khalilabad, Yunyao Li
- KGLens: Towards Efficient and Effective Knowledge Probing of Large Language Models with Knowledge Graphs
- 16:00 - 17:30 UTC+7, Lotus Suite 10
- Daniel Zheng, Richard Bai, Yizhe Zhang, Yi Su, Xiaochuan Niu, Navdeep Jaitly
- 5th Workshop on Gender Bias in Natural Language Processing 2024
- 9:00 - 18:15 UTC+7, World Ballroom B
- Generating Gender Alternatives in Machine Translation
- 14:00 - 15:30 UTC+7, World Ballroom B
- Sarthak Garg, Mozhdeh Gheini, Clara Emmanuel, Tatiana Likhomanenko, Qin Gao, Matthias Paulik
- Time Sensitive Knowledge Editing through Efficient Finetuning
- 10:15 UTC+7, Virtual Poster Session 2
- Hugh Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan Khalilabad, Yunyao Li
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
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
Daniel Zheng, Richard Bai, Yizhe Zhang, Yi Su, Xiaochuan Niu, Navdeep Jaitly
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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