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Home/Authors/Haiwen Hong

Haiwen Hong

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

NLP×3AI×3Vision×3ML×2

Frequent co-authors

Longtao Huang3×
Hui Xue3×
Haolei Xu2×
Hongxing Li2×
Weiming Lu2×
Yongliang Shen2×

Research Timeline

2026
How LoRA Remembers? A Parametric Memory Law for LLM Finetuning

The paper quantifies the exact parametric memory capacity of LLMs using LoRA and proposes a new optimization strategy, MemFT, to enhance memory fidelity.

How LoRA Remembers? A Parametric Memory Law for LLM Finetuning

The paper quantifies the exact parametric memory capacity of LLMs using LoRA and proposes a new optimization strategy, MemFT, to enhance memory fidelity.

Perceive-to-Reason: Decoupling Perception and Reasoning for Fine-Grained Visual Reasoning

This paper proposes Perceive-to-Reason (P2R), a framework for fine-grained visual reasoning that decouples perception from reasoning and introduces a new reinforcement learning strategy.

Pass the Baton: Trajectory-Relayed On-Policy Distillation

The paper introduces Relay On-Policy Distillation (Relay-OPD), a method for on-policy distillation that constructs relay trajectories to address prefix failure and improve performance.

Highlighted terms show continued research focus across papers

Papers

cs.CLcs.AIEmpiricalRecentJul 28, 2026

Pass the Baton: Trajectory-Relayed On-Policy Distillation

Haolei Xu, Xiaowen Xu, Haiwen Hong, Zixuan Ni +4 more

The paper introduces Relay On-Policy Distillation (Relay-OPD), a method for on-policy distillation that constructs relay trajectories to address prefix failure and improve performance.

View →
cs.CVEmpiricalRecent
Jul 1, 2026

Perceive-to-Reason: Decoupling Perception and Reasoning for Fine-Grained Visual Reasoning

Hongxing Li, Xiufeng Huang, Dingming Li, Wenjing Jiang +10 more

This paper proposes Perceive-to-Reason (P2R), a framework for fine-grained visual reasoning that decouples perception from reasoning and introduces a new reinforcement learning strategy.

View →
cs.CLcs.AIcs.CVRecentMay 28, 2026

How LoRA Remembers? A Parametric Memory Law for LLM Finetuning

Ziwen Xu, Haiwen Hong, Linsong Yu, Benglei Cui +3 more

The paper quantifies the exact parametric memory capacity of LLMs using LoRA and proposes a new optimization strategy, MemFT, to enhance memory fidelity.

View →
cs.CLcs.AIcs.CVRecentMay 28, 2026

How LoRA Remembers? A Parametric Memory Law for LLM Finetuning

Ziwen Xu, Haiwen Hong, Linsong Yu, Benglei Cui +3 more

The paper quantifies the exact parametric memory capacity of LLMs using LoRA and proposes a new optimization strategy, MemFT, to enhance memory fidelity.

View →