2 citations · 2 across the 6 of their papers we have counts for
6 papers
SkillGLoW: Procedural-Family Skill Consolidation for Self-Improving Agents on Long-Horizon Task Streams
Ao Yan, Xin Zhang, Jiawei Du +1
LLM agents increasingly self-improve by writing and reusing textual skills, kept either as one global document or as a flat pool of per-task entries, though most of the evidence co…
Draw2Think: Harnessing Geometry Reasoning through Constraint Engine Interaction
Juncheng Hu, Jiawei Du, Xin Zhang +1
Vision-language models solve geometry problems with rising accuracy, yet their intermediate states remain latent and unverifiable: a relation expressed in textual reasoning or draw…
Visual Latents Know More Than They Say: Unsilencing Latent Reasoning in MLLMs
Xin Zhang, Qiqi Tao, Jiawei Du +2
Continuous latent-space reasoning offers a compact alternative to textual chain-of-thought for multimodal models, enabling high-dimensional visual evidence to be integrated without…
SAG-Agent: Enabling Long-Horizon Reasoning in Strategy Games via Dynamic Knowledge Graphs
Chenwei Tang, Lin Long, Xinyu Liu +6
Most commodity software lacks accessible Application Programming Interfaces (APIs), requiring autonomous agents to interact solely through pixel-based Graphical User Interfaces (GU…
On the development of an AI performance and behavioural measures for teaching and classroom management
Andreea I. Niculescu, Jochen Ehnes, Chen Yi +9
This paper presents a two-year research project focused on developing AI-driven measures to analyze classroom dynamics, with particular emphasis on teacher actions captured through…
Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution
Jiawei Du, Jinlong Wu, Yuzheng Chen +3
Most LLM-based agent frameworks adopt a top-down philosophy: humans decompose tasks, define workflows, and assign agents to execute each step. While effective on benchmark-style ta…