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cs.CL2026
Compression-Aware Abstention: Teaching LLMs to Refuse When KV-Compression Masks Remove Answer Evidence
Mohammadali Khodabandehlou, Bhaskar Krishnamachari
KV-cache compression reduces LLM inference memory by evicting context tokens, but when the evicted tokens contain answer-bearing evidence, the model may hallucinate instead of reco…
cs.DC2026
TS-Verkle: A TypeScript Native Verkle Library With On-chain Verifier
Zhikai Li, Xuekai Liu, Boyuan Xu +2
Blockchain systems face significant scalability challenges due to growing data volumes and increasing transaction demands, necessitating more efficient data structures and verifica…
q-fin.ST2026
Do Prediction Markets Forecast Cryptocurrency Volatility? Evidence from Kalshi Macro Contracts
Hardhik Mohanty, Bhaskar Krishnamachari
Daily probability changes in Kalshi macro prediction markets forecast cryptocurrency realized volatility through two distinct channels. The monetary policy channel, measured by Fed…