Bowen Peng, Subho Ghosh, Jeffrey Quesnelle
Lighthouse Attention wraps standard scaled dot-product attention with a subquadratic hierarchical selection step that compresses and decompresses the sequence symmetrically while preserving left-to-right causality,…
cs.CLcs.LGHuggingFace
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
FEST uses only 128 randomly selected demonstrations from an SFT dataset to dramatically improve sample efficiency in reinforcement learning with verifiable rewards, outperforming baselines that require magnitudes more…
cs.AIcs.LGcs.CLHuggingFace
Weixiang Sun, Shang Ma, Yiyang Li, et al.
PreScam benchmarks how well models can predict the progression of real-world conversational scams from early dialogue turns, using 11,573 annotated instances across 20 scam categories; results show current LLMs…
cs.AIcs.CYHuggingFace
Ming Qian, Zimin Xia, Changkun Liu, et al.
Sat3DGen generates street-level 3D scenes from a single satellite image using a geometry-first methodology with perspective-view training, improving geometric RMSE from 6.76m to 5.20m and cutting FID nearly in half…
cs.CVHuggingFace
Valeriy Vyaltsev, Alsu Sagirova, Anton Andreychuk, et al.
LC-MAPF adds a learnable multi-round communication module to decentralized multi-agent pathfinding, allowing neighboring agents to share features and improve coordination without sacrificing scalability, outperforming…
cs.AIcs.MAHuggingFace
Qi Li, Xinchao Wang
ViMU is the first benchmark systematically evaluating whether video understanding models can interpret metaphorical, ironic, and socially embedded meanings beyond literal visual perception, covering diverse cultural…
cs.CVcs.AIHuggingFace
Che Liu, Lichao Ma, Xiangyu Tony Zhang, et al.
OmniBoost is a three-stage post-training recipe for omni-modal models (audio+visual+language) based on Qwen2.5-Omni-3B, using mixed bi-modal SFT, RLVR, and self-distilled SFT to reach performance comparable to…
cs.AIcs.CVcs.CLHuggingFace
A review of how machine learning is accelerating catalyst discovery for methane dry reforming, a key carbon capture and utilization technology, covering ML-guided materials screening and optimization of reaction…
MLcatalysisclimateGoogle Scholar