FlashEvaluator: Expanding Search Space with Parallel Sequence-Level Evaluation
The Generator-Evaluator (G-E) framework generates K candidate sequences and uses an evaluator to select the highest-scoring one, which is widely used in recommender systems (RecSys) and natural language processing (NLP). Existing evaluators commonly score candidates independently. Although such evaluations can be batched, independent scoring neither models interactions among candidates nor eliminates repeated computation of request-level context and recurring candidate elements, causing the total evaluation work to grow approximately linearly with K. To handle with, we propose FlashEvaluator, a joint evaluator that scores all candidate sequences in a single forward pass. FlashEvaluator fa...
| Authors | Chao Feng, Yuanhao Pu, Chenghao Zhang et al. |
|---|---|
| Primary category | cs.IR |
| Published | 3 March 2026 |
| Last updated at source | 28 July 2026 |
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