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