4 papers
ClusterFusion++: Expanding Cluster-Level Fusion to Full Transformer-Block Decoding
ChiHeng Jin, Hongche Yu, Xihui Chen
Large language model (LLM) decoding is latency-sensitive and often bottlenecked by fragmented operator execution and repeated off-chip materialization of intermediate tensors. Prio…
SLM-SS: Speech Language Model for Generative Speech Separation
Tianhua Li, Chenda Li, Wei Wang +4
Speech separation (SS) has advanced significantly with neural network-based methods, showing improved performance on signal-level metrics. However, these methods often struggle to…
Distilling Knowledge from Large Language Models: A Concept Bottleneck Model for Hate and Counter Speech Recognition
Roberto Labadie-Tamayo, Djordje SlijepÄeviÄ, Xihui Chen +4
The rapid increase in hate speech on social media has exposed an unprecedented impact on society, making automated methods for detecting such content important. Unlike prior black-…
FHSTP@EXIST 2025 Benchmark: Sexism Detection with Transparent Speech Concept Bottleneck Models
Roberto Labadie-Tamayo, Adrian Jaques Böck, Djordje SlijepÄeviÄ +3
Sexism has become widespread on social media and in online conversation. To help address this issue, the fifth Sexism Identification in Social Networks (EXIST) challenge is initiat…