17 citations · 43 across the 22 of their papers we have counts for
22 papers
TV-Regulated OPD: Direction Matters in On-Policy Distillation
Han Xiao, Yifan Niu, Dongyi Liu +2
On-Policy Distillation (OPD) facilitates the transfer of knowledge from domain expert to student in the post-training phase of Large Language Models (LLMs). However, the supervisio…
Jina-OCR-v1: Efficient Document Parsing with Speculative Decoding and Dense Verifiable Rewards
Alejandro Barón García, Feng Wang, Emilia Garcia Casademont +1
We present Jina-OCR-v1, an end-to-end document parsing model built to serve on low-budget GPUs. It combines the compressed-vision encoder and the 3B mixture-of-experts decoder of D…
omni-macos: On-Device Omni-Modal Search on Apple Silicon
Han Xiao
A search engine that embeds text, code, documents, images, audio and video into the same representation space has to run its encoder and keep its index somewhere, and almost every…
Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization
Hao Wang, Kun Yuan, Wenlin Zhong +4
Open-weight language models from different families exhibit complementary capabilities, motivating their consolidation into a compact student through on-policy distillation (OPD).…
jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation
Christina Nasika, Feng Wang, Antonis Krasakis +1
Listwise rerankers are the discriminative core of agentic retrieval pipelines, yet production deployment demands efficiency, domain robustness, and fluency on semi-structured data…
Test-Time Compute for Frozen Embedding Models through Agentic Program Search
Han Xiao
Test-time compute is widely believed to benefit only large reasoning models, leaving small models with nothing to gain. We argue the opposite for dense retrieval, since modern smal…