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Workshop
Fri 7:48 Emergent Communication Fine-tuning (EC-FT) for Pretrained Language Models
Shane Steinert-Threlkeld · Xuhui Zhou · Zeyu Liu · C. Downey
Poster
Tue 18:30 SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
Zirui Wang · Jiahui Yu · Wei Yu · Zihang Dai · Yulia Tsvetkov · Yuan Cao
Workshop
Fri 7:10 CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code
Nadezhda Chirkova · Sergei Troshin
Workshop
Fri 11:00 CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code
Nadezhda Chirkova · Sergei Troshin
Spotlight
Mon 10:30 The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
Yoav Levine · Noam Wies · Daniel Jannai · Dan Navon · Yedid Hoshen · Amnon Shashua
Thu 12:00 Better Developing Pretraining-based Models and Beyond
Yiyuan Li · Chenghao Yang
Poster
Mon 10:30 The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
Yoav Levine · Noam Wies · Daniel Jannai · Dan Navon · Yedid Hoshen · Amnon Shashua
Poster
Mon 18:30 On Robust Prefix-Tuning for Text Classification
Zonghan Yang · Yang Liu
Spotlight
Thu 10:30 Fairness in Representation for Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling
Ada Wan
Poster
Tue 10:30 P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts
Benjamin Newman · Prafulla Kumar Choubey · Nazneen Rajani
Poster
Thu 2:30 On the Pitfalls of Analyzing Individual Neurons in Language Models
Omer Antverg · Yonatan Belinkov
Poster
Thu 10:30 Fairness in Representation for Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling
Ada Wan