3 citations · 4 across the 6 of their papers we have counts for
3 papers · 1 filter
Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks
Nobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu +1
With the growing adoption of VLMs, DMs, LLMs, and AFMs, these multimodal foundation models can inadvertently encode sensitive, copyrighted, biased, or unsafe cross-modal associatio…
S*: Test Time Scaling for Code Generation
Dacheng Li, Shiyi Cao, Chengkun Cao +6
Increasing test-time compute for LLMs shows promise across domains but remains underexplored in code generation, despite extensive study in math. In this paper, we propose S*, the…
RouterBench: A Benchmark for Multi-LLM Routing System
Qitian Jason Hu, Jacob Bieker, Xiuyu Li +5
As the range of applications for Large Language Models (LLMs) continues to grow, the demand for effective serving solutions becomes increasingly critical. Despite the versatility o…