UniCVR is the first unified zero-shot framework that handles composed image, multi-turn image, and video retrieval by MLLM-VLP alignment plus dual-level reranking.
Hu and Yelong Shen and Phillip Wallis and Zeyuan Allen
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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TRN-R1-Zero is an RL-only post-training method that lets LLMs perform zero-shot node, edge, and graph reasoning on text-rich networks without supervised data or larger-model distillation.
citing papers explorer
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UniCVR: From Alignment to Reranking for Unified Zero-Shot Composed Visual Retrieval
UniCVR is the first unified zero-shot framework that handles composed image, multi-turn image, and video retrieval by MLLM-VLP alignment plus dual-level reranking.
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TRN-R1-Zero: Text-rich Network Reasoning via LLMs with Reinforcement Learning Only
TRN-R1-Zero is an RL-only post-training method that lets LLMs perform zero-shot node, edge, and graph reasoning on text-rich networks without supervised data or larger-model distillation.