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Author

Prachi Badarayani

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#artificial intelligence Preprint Oct 2026

Match the Distribution, Not the Compute: Post-Training Multi-Token Prediction Heads

Multi-token prediction (MTP) improves the throughput of autoregressive generation by enabling the language model to draft multiple next tokens per forward pass, while a verification step over draft tokens ensures that token distribution of the backbone is preserved. Every open MTP-family release (MiMo-7B, DeepSeek-V3,...

Prachi Badarayani, Aidan Jay, Cheng-Hui Zhou et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Can We Trust LLM Judges: A Study of Capability-Dependent Biases and Multi-Judge Ensemble for Bias Calibration

LLMs are increasingly used as automated judges for model training and evaluation, yet individual judges exhibit systematic biases that undermine reliability. Much of prior work has studied biases in pairwise LLM-as-a-judge settings; in this paper, we focus on absolute scoring tasks, which mirror more realistic use case...

Gemma Zhang, Prachi Badarayani, Asmi Kumar et al. · 0 citations

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