2 papers
cs.AI2026
Post-Reasoning: Improving the Performance of Non-Thinking Models at No Cost
Richmond Sin Jing Xuan, Rishabh Bhardwaj, Soujanya Poria
As the widespread adoption of Large Language Models (LLMs) accelerates, token consumption from intermediate reasoning traces increasingly contributes to inference latency and opera…
cs.CL2025
Uncovering Cross-Linguistic Disparities in LLMs using Sparse Autoencoders
Richmond Sin Jing Xuan, Jalil Huseynov, Yang Zhang
Multilingual large language models (LLMs) exhibit strong cross-linguistic generalization, yet medium to low resource languages underperform on common benchmarks such as ARC-Challen…