Jason D. Lee
- Papers
- 17
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Authored papers
17AI4SLT: Empirical Processes in Lean 4 for Formal Statistical Learning Theory
arXiv 2026
What Makes a Reward Model a Good Teacher? An Optimization Perspective
arXiv 2025
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding
arXiv 2025
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
arXiv 2024
BitDelta: Your Fine-Tune May Only Be Worth One Bit
arXiv 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
arXiv 2024
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
arXiv 2024
How Transformers Learn Causal Structure with Gradient Descent
arXiv 2024
LoRA Training in the NTK Regime has No Spurious Local Minima
arXiv 2024
REBEL: Reinforcement Learning via Regressing Relative Rewards
arXiv 2024
Dataset Reset Policy Optimization for RLHF
arXiv 2024
Fine-Tuning Language Models with Just Forward Passes
fine-tuning-language-models-with-just-forward
REST: Retrieval-Based Speculative Decoding
arXiv 2023
Teaching Arithmetic to Small Transformers
arXiv 2023
Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking
arXiv 2023
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning
arXiv 2023
Looped Transformers as Programmable Computers
arXiv 2023
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