Bing Qin

Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning

AutoTool: Automatic Scaling of Tool-Use Capabilities in RL via Decoupled Entropy Constraints

Scalable Multilingual Multimodal Machine Translation with Speech-Text Fusion

PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector Algebra

Smarter Not Harder: Generative Process Evaluation with Intrinsic-Signal Driving and Ability‑Adaptive Reward Shaping

CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models

Leveraging Rotation Symmetry for Efficient LoRA Merging in Large Language Models

In-situ Adaptation for LLM-based Link Prediction: A Dynamic Cognition Paradigm for Temporal Knowledge Graphs

When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners

How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation

Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment

Lens: Rethinking Multilingual Enhancement for Large Language Models

Improved Diffusion-based Generative Model with Better Adversarial Robustness

UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection

Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching

XTransplant: A Probe into the Upper Bound Performance of Multilingual Capability in LLMs via Cross-lingual Transplantation

Towards Secure Tuning: Mitigating Security Risks Arising from Benign Instruction Fine-Tuning