LILI YU
13 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
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NIPS (3)
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AAAI (1)
CORL (1)
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Keywords
large language model
(2)
multi-document summarization
(2)
sequence modeling
(2)
attention mechanism
(1)
neural architecture
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question answering
(1)
optimal transport
(1)
multimodal learning
(1)
model architecture
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intent classification
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sinkhorn algorithm
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instruction tuning
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model alignment
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natural language
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text matching
(1)
extractive summarization
(1)
generative model
(1)
state space model
(1)
language model
(1)
feature selection
(1)
Papers
Byte Latent Transformer: Patches Scale Better Than Tokens
ACL 2025
$\pi_0.5$: a Vision-Language-Action Model with Open-World Generalization
CORL 2025
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
ICLR 2025
Jointly Training Large Autoregressive Multimodal Models
ICLR 2024
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
NIPS 2024
Scaling Laws for Generative Mixed-Modal Language Models
ICML 2023
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers
NIPS 2023
LIMA: Less Is More for Alignment
NIPS 2023
Nutri-bullets Hybrid: Consensual Multi-document Summarization
NAACL 2021
Nutri-bullets: Summarizing Health Studies by Composing Segments
AAAI 2021
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport
ACL 2020
Interactive Classification by Asking Informative Questions
ACL 2020
Building a Production Model for Retrieval-Based Chatbots
ACL 2019