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Home/Authors/Xin Cai

Xin Cai

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Vision×1AI×1Info Retrieval×1

Frequent co-authors

Kaixiong Gong1×
Bin Lin1×
Hao Wang1×
Yunlong Lin1×
Mingzhe Zheng1×
Bohao Li1×

Research Timeline

2026
Xetrieval: Mechanistically Explaining Dense Retrieval

Xetrieval introduces an embedding-level framework to mechanistically explain dense retrieval decisions by decomposing high-dimensional embeddings into sparse, human-interpretable features.

Twins: Learn to Predict Unified Representations with Focal Loss

This paper proposes Twins, a unified continuous token space for multimodal models using ViT and VAE features, and addresses optimization imbalance with a focal regression objective.

Highlighted terms show continued research focus across papers

Papers

cs.CVEmpiricalRecentJul 24, 2026

Twins: Learn to Predict Unified Representations with Focal Loss

Kaixiong Gong, Xin Cai, Bin Lin, Hao Wang +8 more

This paper proposes Twins, a unified continuous token space for multimodal models using ViT and VAE features, and addresses optimization imbalance with a focal regression objective.

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cs.AIcs.IRRecentMay 28, 2026

Xetrieval: Mechanistically Explaining Dense Retrieval

Zhixin Cai, Jun Bai, Yang Liu, Jiaqi Li +6 more

Xetrieval introduces an embedding-level framework to mechanistically explain dense retrieval decisions by decomposing high-dimensional embeddings into sparse, human-interpretable features.

View →