Skill Mastery
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Benchmarks
RGB-Stacking
Most implemented
A Generalist Agent
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations
Option Tracing: Beyond Correctness Analysis in Knowledge Tracing
GPT-based Open-Ended Knowledge Tracing
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
Papers
Estimating Learners' Skill Acquisition Without Temporal Information
Recent research in educational data mining, especially knowledge tracing, has focused on predicting learners' future knowledge states to support adaptive instruction. However, in many real-world educational settings, lea…
Knowledge TracingSkill MasterySkillMaster: Toward Autonomous Skill Mastery in LLM Agents
Skills provide an effective mechanism for improving LLM agents on complex tasks, yet in existing agent frameworks, their creation, refinement, and selection are typically governed by external teachers, hand-designed rule…
Skill MasteryScaling Coding Agents via Atomic Skills
Current LLM coding agents are predominantly trained on composite benchmarks (e.g., bug fixing), which often leads to task-specific overfitting and limited generalization. To address this, we propose a novel scaling parad…
Skill MasteryFrom Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning
We introduce Distribution Contractive Reinforcement Learning (DICE-RL), a framework that uses reinforcement learning (RL) as a "distribution contraction" operator to refine pretrained generative robot policies. DICE-RL t…
Reinforcement LearningSkill MasteryProblems With Large Language Models for Learner Modelling: Why LLMs Alone Fall Short for Responsible Tutoring in K--12 Education
The rapid rise of large language model (LLM)-based tutors in K--12 education has fostered a misconception that generative models can replace traditional learner modelling for adaptive instruction. This is especially prob…
Knowledge TracingSkill MasteryEnhanced Interpretable Knowledge Tracing for Students Performance Prediction with Human understandable Feature Space
Knowledge Tracing (KT) plays a central role in assessing students skill mastery and predicting their future performance. While deep learning based KT models achieve superior predictive accuracy compared to traditional me…
Knowledge TracingSkill Mastery