In-context learning is highly sensitive to demonstration choice, yet most methods select demonstrations using external query-demonstration similarity. Such criteria can miss model-specific signals: Similar demonstrations may activate different internal features and downstream behaviors. We introduce PULSE (Paired Utili...
Chen-Duo Hao, Chuan-Bao Gao, Pin-Jun Zeng et al.· 0 citations
Preliminary results from a geo-distributed LLM training prototype that treats networking constraints as first-order design concerns are presented, motivating adaptive networking support for synchronization, compression, placement, telemetry, and recovery in geo-distributed LLM training.
Zi-Yue Luo, Jiaxuan Cai, Cedric Le Denmat et al.· Conference on Applications,...· 0 citations
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