Learning from Human Demonstrations Enables Adaptive GUI Agents
Pre-submission to ARR. Corresponding author. Adaptive GUI agents learning from human demonstrations.
Pre-submission to ARR. Corresponding author. Adaptive GUI agents learning from human demonstrations.
Submitted to KDD 2026. Corresponding author. Test-time exploration in unknown environments.
Submitted to KDD 2026. Corresponding author. Diagnosing step-level process quality in tool-using agents.
ArXiv 2026. First author. Open-source 4B agent model achieving SOTA on GAIA & HLE, surpassing GPT-5 and Claude-4.5-Sonnet.
Submitted to ACL 2026. First author. Unified evaluation platform for tool-learning agents.
Submitted to ACL 2026. Reflective reinforcement learning for tool learning.
Submitted to ACL 2026. Corresponding author. Diversity-aware training for test-time scaling.
Submitted to ACL 2026. Corresponding author. Learnable dynamic agentic memory with atomic operations.
ArXiv 2025. Team contribution (led MCP agent capabilities). 8,300+ GitHub Stars.
ArXiv 2024. Co-first author. Collaborative evolving strategy for data-centric development. 11,400+ GitHub Stars.