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20182026
most citedExploiting Cognitive Structure for Adaptive Learning

137 citations · 239 across the 24 of their papers we have counts for

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5 papers · 1 filter

cs.LG2026

From Trajectories to Prefixes: Reusing Teacher Trajectories via Replayed Prefixes and Online Continuation

Yihan Wang, Zhong Guan, Haoran Sun +3

Small language models are attractive backbones for interactive agents, but direct distillation from strong teacher trajectories often turns rich multi-turn behavior into one-shot i…

cs.LG2026

Missing Old Logits in Asynchronous Agentic RL: Semantic Mismatch and Repair Methods for Off-Policy Correction

Zhong Guan, Yongjian Guo, Haoran Sun +5

Asynchronous reinforcement learning improves rollout throughput for large language model agents by decoupling sample generation from policy optimization, but it also introduces a c…

cs.LG2023★ 3 cited

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification

Likang Wu, Junji Jiang, Hongke Zhao +4

Recently, Zero-Shot Node Classification (ZNC) has been an emerging and crucial task in graph data analysis. This task aims to predict nodes from unseen classes which are unobserved…

cs.LG2021★ 1 cited

Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective

Likang Wu, Zhi Li, Hongke Zhao +2

In the online innovation market, the fund-raising performance of the start-up project is a concerning issue for creators, investors and platforms. Unfortunately, existing studies a…

cs.LG2019

Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model

Likang Wu, Zhi Li, Hongke Zhao +3

Well begun is half done. In the crowdfunding market, the early fundraising performance of the project is a concerned issue for both creators and platforms. However, estimating the…