view article Article Bekko Embedding: how small can a multilingual retrieval model be? hotchpotch • Jul 29 • 8
Sentence Transformers v5.4 integrations Collection See https://huggingface.co/blog/multimodal-sentence-transformers • 37 items • Updated Aug 18 • 8
A New Role for Relevance: Guiding Corpus Interaction in Agentic Search Paper • 2607.24223 • Published Jul 27 • 97
Beyond Relevance-Centric Retrieval: Rubric-Oriented Document Set Selection and Ranking Paper • 2607.19747 • Published Jul 22 • 29
SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Paper • 2607.20145 • Published Jul 22 • 77
DenseOn & LateOn Collection A collection of open state-of-the-art single and multi-vector models for English retrieval • 9 items • Updated 10 days ago • 13
RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources Paper • 2606.29538 • Published Jul 16 • 147
view article Article NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval nvidia • Jul 16 • 60
view article Article One Adapter, Both Modalities: Field Notes from Building and Serving a Multimodal Reranker lightonai • Jul 16 • 20
Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning Paper • 2607.12395 • Published Jul 14 • 92
KnowAct-GUIClaw: Know Deeply, Act Perfectly, Personal GUI Assistant with Self-Evolving Memory and Skill Paper • 2607.12625 • Published Jul 15 • 56
Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Paper • 2607.05803 • Published Jul 7 • 9
Merino — unified embedding + reranker models Collection One model for both halves of RAG retrieval; a strong default per size. Contact baa.ai for the optimal pick for your corpus. • 10 items • Updated Jun 30 • 2
Qwen-AgentWorld: Language World Models for General Agents Paper • 2606.24597 • Published Jun 23 • 167