Author

Vasudeva Varma

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Review Sep 2026

One Reference or Many? Rethinking Multi-Reference Training for Intermediate-Entropy Text Generation

Natural language generation (NLG) ranges from highly constrained tasks, such as machine translation, to open-ended tasks like dialogue generation. Between them lie peer-review generation and image captioning, where one input admits several valid, overlapping outputs. We measure this intermediary region with Von Neumann...

Maitreya Prafulla Chitale, Ketaki Shetye, Yash More et al. · 0 citations

#natural language process... Review Sep 2026

To Consolidate or not to Consolidate? Evaluating the Impact of Consolidation in Multi-Reference Training using Peer Reviews

This work demonstrates that traditional single- and multi-reference training paradigms are suboptimal for natural language generation tasks and provides empirical evidence that consolidating diverse references into a unified training signal is crucial for developing effective systems.

Maitreya Prafulla Chitale, Ketaki Shetye, Yash More et al. · 0 citations