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Kai-Wei Chang
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- From Interpretability to Control: Insights from Six Years of the TrustNLP Workshop
- OpenVLThinkerV2: A Generalist Multimodal Reasoning Model for Multi-domain Visual Tasks
- MotionEdit: Benchmarking and Learning Motion-Centric Image Editing
- FronTalk: Benchmarking Front-End Development as Conversational Code Generation with Multi-Modal Feedback
- LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training
- BRIEF-Pro: Universal Context Compression with Short-to-Long Synthesis for Fast and Accurate Multi-Hop Reasoning
- HoneyBee: Data Recipes for Vision-Language Reasoners
- Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy
- Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models