Author

Tianjun Mo

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Open access 2026

Enhancing Web Search Agents With Self-Play Contrastive Fine-Tuning

This paper proposes TAPE (Trajectory Alignment and exPerience pool Evolution), a novel self-evolving fine-tuning framework designed to enhance the generalization and robustness of web search agents without requiring large-scale human annotation.

Minjae Rhee, Jitong Zou, Tianjun Mo et al. · IEEE Access · 3 citations

Open access 2026

Self-Evolving AI Agents With Dual Memory for Automated Software Testing and Bug Localization

LS-CM (Long-Short Collaborative Memory), a dual-memory architecture that couples a Retrieval-Augmented Generation (RAG)-based short-term memory for code-base context with a Reinforcement Learning (RL)driven long-term memory that distills strategic patterns from historical test failures and patch iterations, is proposed.

Tianjun Mo, Changhao Zhang, Jitong Zou et al. · IEEE Access · 0 citations