Author

Jia-Yu Wang

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#machine learning Preprint Oct 2026

Rethinking the Roles of Diffusion and Decoding: Predictive-State Flows for Parallel Language Generation

In continuous diffusion language models (DLMs), latents generated by the diffusion prior are mapped almost deterministically to tokens, either by a decoder or through a token embedding matrix. Unlike in image generation, where visual details can vary continuously, the diffusion prior must capture fine-grained discrete...

Jin-Jin He, Xin-Song Feng, Lu-Cheng Fu et al. · 0 citations

#artificial intelligence Preprint Oct 2026

SLDR: Defending Against Malicious Fine-tuning via Selective Layers Recovery and Dynamic Routing

Fine-tuning-as-a-service enables users to adapt aligned large language models (LLMs) to specialized tasks, but malicious fine-tuning can erode refusal behavior while preserving task performance on legitimate inputs. We revisit recent layer-wise safety diagnostics and find that safety sensitivity is signed: scaling diff...

Hui Zhang, Ya-Chao Yuan, Jia-Yu Wang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation

Benchmark Radar is presented, a living database and search engine for retrieval and discovery of AI benchmarks, covering LLM evaluation, agentic and tool-use benchmarks, coding, reasoning, safety, and domain-specific evaluations.

Koutian Wu, Jun Zhou, Er-Gan Shang et al. · 0 citations