output
20022026
most citedEfficient Estimation of Word Representations in Vector Space

25.8k citations

1,425 papers

cs.CV2026

Seeing as Humans Do: Learning from Motion to Segment Anything Without Supervision

Weijian Jian, Xiaoyue Zhang, Bin Xiao +5

The Segment Anything Model (SAM) relies heavily on massive manual annotations, creating a fundamental bottleneck for model scaling. While unsupervised methods attempt to learn obje…

cs.LG2026

Decoupled and Distilled: Task-Adaptive LoRA-Teachers with Ensemble Knowledge Transfer for Few-Shot Class-Incremental Learning

Hongwei Zhao, Rui Liu, Yansong Liu +2

Few-Shot Class-Incremental Learning (FSCIL) addresses the challenge of learning new classes from very limited samples while retaining knowledge of previously learned ones. Although…

cs.CL2026

Lookahead-R: Budget-Aware Tool Retrieval via Execution-Centric Planning

Zongze Wu, Yani Guo, Runnan Li

Tool retrieval is a critical bottleneck for LLM-based agents operating over large, heterogeneous API ecosystems. Existing approaches face an inherent trade-off: semantic retrievers…

quant-ph2026

Zero-Knowledge Proofs of Quantumness

Duong Hieu Phan, Weiqiang Wen, Xingyu Yan +1

With the rapid development of quantum computers, proofs of quantumness have recently become an interesting research direction. However, in current schemes for proofs of quantumness…

cs.NI2026

STR-Agent: An LLM-Driven Agent for QoS-Aware Routing in LEO Satellite Networks

Bowen Lu, Mugen Peng, Yaohua Sun +3

LEO satellite networks feature dynamic topologies, time-varying links, and diverse service requirements, which make conventional routing schemes difficult to support fine-grained q…

eess.SP2026

Multi-Stream Spatiotemporal Channel Coding for MIMO Systems: Transmission Scheme Design and Achievable Rate Optimization

Liang Jin, Xiaodong Xu, Shujun Han +3

Spatiotemporal channel coding (STCC) can improve the achievable rate over traditional temporal channel coding (TCC) by leveraging spatial degrees of freedom to extend the codeword…