Jeffrey Li
11 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(9)
Artificial Intelligence
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Application Areas
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Natural Language Processing
(4)
Optimization & Theory
(3)
Resources & Methods
(3)
Deep Learning
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Learning Types Β· Deep Learning
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Reinforcement Learning
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Keywords
large language model
(2)
language model
(2)
learning theory
(1)
catastrophic forgetting
(1)
semi-supervised learning
(1)
language model alignment
(1)
synthetic data generation
(1)
downstream task
(1)
instruction tuning
(1)
model alignment
(1)
generalization bound
(1)
weak supervision
(1)
synthetic data
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scaling law
(1)
continual learning
(1)
noisy label
(1)
vision foundation model
(1)
continual pre-training
(1)
spatial reasoning
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differential privacy
(1)
Papers
BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models
CVPR 2026
Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pre-training
EACL 2026
Language models scale reliably with over-training and on downstream tasks
ICLR 2025
SDS β See it, Do it, Sorted: Quadruped Skill Synthesis from Single Video Demonstration
CoRL 2025
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining
ACL 2025
Better Alignment with Instruction Back-and-Forth Translation
EMNLP 2024
DataComp-LM: In search of the next generation of training sets for language models
NeurIPS 2024
Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks
NeurIPS 2024
Characterizing the Impacts of Semi-supervised Learning for Weak Supervision
NeurIPS 2023
A Learning Theoretic Perspective on Local Explainability
ICLR 2021
Differentially Private Meta-Learning
ICLR 2020