1 citations · 1 across the 15 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2026
Learning how to Forget: Fine-tuning for Long-Context Sparse Attention
Matthias Seeger, Zeyu Zhang, Vihang Patil +2
A lot of prior work addressed key-value (KV) cache selection and compression by sparse attention to enable long-context inference for transformer language models without excessive…
cs.CL2024★ 1 cited
AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language Model
Zeyu Zhang, Paul Groth, Iacer Calixto +1
Entity matching (EM) is the problem of determining whether two records refer to same real-world entity, which is crucial in data integration, e.g., for product catalogs or address…