Continual Learning in Transition
Paper • 2608.06216 • Published • 18
Dan Zhang
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AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents
Paper • 2410.24024 • Published • 49
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
Paper • 2412.11605 • Published • 18
ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think
Paper • 2501.01045 • Published
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models
Paper • 2502.15828 • Published
Can Large Language Models Master Complex Card Games?
Paper • 2509.01328 • Published
Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing
Paper • 2604.02288 • Published • 34
GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
Paper • 2604.26752 • Published • 114
R-Diverse: Mitigating Diversity Illusion in Self-Play LLM Training
Paper • 2602.13103 • Published • 1
Rubric-based On-policy Distillation
Paper • 2605.07396 • Published • 41
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ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search
Paper • 2406.03816 • Published • 1
Parameter-Efficient Fine-Tuning for Foundation Models
Paper • 2501.13787 • Published
ReST-RL: Achieving Accurate Code Reasoning of LLMs with Optimized Self-Training and Decoding
Paper • 2508.19576 • Published • 2
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