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Home/Authors/Anjian Li

Anjian Li

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

ML×1NLP×1

Frequent co-authors

Ryne Beeson1×
Tianjian Li1×
Jingyu Zhang1×
William Jurayj1×
Xi Wang1×
Chuanyang Jin1×

Research Timeline

2026
Self-Compacting Language Model Agents

This paper proposes SelfCompact, a scaffold that allows models to decide when and how to compact long agent traces, improving summarization at a lower token cost.

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates

This paper proposes a data collection strategy using solver iterates to augment datasets for training generative models, improving the efficiency of the data-model-optimization loop in one-sided box-constrained quadratic programs.

Highlighted terms show continued research focus across papers

Papers

cs.LGTheoreticalRecentJul 24, 2026

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates

Anjian Li, Ryne Beeson

This paper proposes a data collection strategy using solver iterates to augment datasets for training generative models, improving the efficiency of the data-model-optimization loop in one-sided box-c…

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cs.CLEmpiricalRecent
Jun 22, 2026

Self-Compacting Language Model Agents

Tianjian Li, Jingyu Zhang, William Jurayj, Xi Wang +4 more

This paper proposes SelfCompact, a scaffold that allows models to decide when and how to compact long agent traces, improving summarization at a lower token cost.

View →