3 papers
cs.CL2026
PARTREP: Learning What to Repeat for Decoder-only LLMs
Andikawati P Widjaja, Yongjun Kim, Hyounghun Kim +1
While decoder-only LLMs excel at a vast array of natural language tasks, it suffers from an asymmetric information flow induced by causal attention: later tokens are richer in cont…
cs.AI2026
ForecastBench-Sim: A Simulated-World Forecasting Benchmark
Jaeho Lee, Nick Merrill, Ezra Karger
Forecasting benchmarks for general-purpose AI systems usually inherit the constraints of the real world: outcomes resolve slowly, tail events are rare, and counterfactual questions…
cs.LG2025
eMamba: Efficient Acceleration Framework for Mamba Models in Edge Computing
Jiyong Kim, Jaeho Lee, Jiahao Lin +4
State Space Model (SSM)-based machine learning architectures have recently gained significant attention for processing sequential data. Mamba, a recent sequence-to-sequence SSM, of…