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cs.CL2025
Learning a Continue-Thinking Token for Enhanced Test-Time Scaling
Liran Ringel, Elad Tolochinsky, Yaniv Romano
Test-time scaling has emerged as an effective approach for improving language model performance by utilizing additional compute at inference time. Recent studies have shown that ov…
cs.CL2018
The UN Parallel Corpus Annotated for Translation Direction
Elad Tolochinsky, Ohad Mosafi, Ella Rabinovich +1
This work distinguishes between translated and original text in the UN protocol corpus. By modeling the problem as classification problem, we can achieve up to 95% classification a…