|
Workshop
|
|
Transformers Learn to Compress Variable-order Markov Chains in-Context
Ruida Zhou · Chao Tian · Suhas Diggavi
|
|
|
Workshop
|
Sat 8:30
|
Nouha Dziri: In-Context Learning in LLMs: Potential and Limits
Nouha Dziri
|
|
|
Poster
|
Wed 11:00
|
Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens
Ruifeng Ren · Yong Liu
|
|
|
Poster
|
Fri 11:00
|
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression
Shuai Li · Zhao Song · Yu Xia · Tong Yu · Tianyi Zhou
|
|
|
Poster
|
Thu 16:30
|
Mixture of Demonstrations for In-Context Learning
Song Wang · Zihan Chen · Chengshuai Shi · Cong Shen · Jundong Li
|
|
|
Poster
|
Thu 11:00
|
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness
Liam Collins · Advait Parulekar · Aryan Mokhtari · Sujay Sanghavi · Sanjay Shakkottai
|
|
|
Workshop
|
|
Improving In-Context Learning with Small Language Model Ensembles
Mehdi Mojarradi · Lingyi Yang · Robert McCraith · Adam Mahdi
|
|
|
Workshop
|
|
Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective
Andrew Jesson · Nicolas Beltran Velez · David Blei
|
|
|
Poster
|
Thu 16:30
|
In-Context Learning with Representations: Contextual Generalization of Trained Transformers
Tong Yang · Yu Huang · Yingbin Liang · Yuejie Chi
|
|
|
Poster
|
Thu 11:00
|
BERTs are Generative In-Context Learners
David Samuel
|
|
|
Workshop
|
Sun 11:20
|
Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps
Fuxiao Liu
|
|
|
Poster
|
Thu 11:00
|
Universal In-Context Approximation By Prompting Fully Recurrent Models
Aleksandar Petrov · Tom Lamb · Alasdair Paren · Philip Torr · Adel Bibi
|
|
