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Yongchang Hao

ICLR 2026×2ACL 2026检索与知识效率与系统代码强化学习与后训练智能体与工具
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83
一作贡献70
核心/参与12
方向广度13
合作网络3
2 一作 · 3 篇 · ICLR 2026 / ACL 2026

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2026 顶会论文

3
作者位次 #2/3ICLR 2026Poster· General Machine Learning / Transfer, Multitask and Meta-learning

TokMem: One-Token Procedural Memory for Large Language Models

Zijun Wu · Yongchang Hao · Lili Mou

检索与知识OpenReview
一作ICLR 2026Poster· Deep Learning / Algorithms

Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling

Yongchang Hao · Lili Mou

效率与系统代码OpenReview
一作ACL 2026Poster· ACL Industry Track

VEG : Verbal \epsilon -greedy for Semantic Exploration in Multi-Turn RL Agents

Yongchang Hao · Jie Hao · Yongsheng Mei · Ze Ye · Junyi Chai · Bin Guo · Benjamin Z. Yao · Chenlei Guo · Lili Mou

摘要

Reinforcement learning (RL) has become a cornerstone of the post-training pipeline for large language models (LLMs), enabling capabilities such as complex reasoning and tool use. However, standard RL approaches face significant challenges due to reward sparsity. Moreover, LLMs typically exhibit m...

强化学习与后训练智能体与工具推理OpenReview 项目页

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