Jiaxiang Li
5 papers · 2024–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Interdisciplinary Bridge ยท Bronze
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Taxonomy Completionist
(11)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
supervised fine-tuning
(2)
reward model
(2)
policy learning
(1)
inverse reinforcement learning
(1)
reinforcement learning from human feedback
(1)
parameter efficient
(1)
riemannian manifold
(1)
bilevel optimization
(1)
zeroth-order optimization
(1)
llm alignment
(1)
hybrid training
(1)
large language model
(1)
gradient sparsity
(1)
memory efficient
(1)
memory-efficient fine-tuning
(1)
sparse plus low-rank decomposition
(1)
self-play fine-tune
(1)
stochastic optimization
(1)
block-wise descent
(1)
robust optimization
(1)
Papers
Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment
ICLR 2025
Riemannian Bilevel Optimization
JMLR 2025
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment
NeurIPS 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
ICML 2024
SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining
NeurIPS 2024