DUET improves RLVR by allocating tokens across both prompt selection and rollout length, outperforming full-budget baselines even when using only half the tokens.
Prune as you generate: Online rollout pruning for faster and better RLVR
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Post-generation grammar and schema filtering on top of confidence scoring raises syntactic validity and execution success for Text2Cypher but increases empty outputs and lowers coverage.
DuQuant++ adapts outlier-aware fine-grained rotation to MXFP4 by matching block size to the 32-element microscaling group, enabling a single rotation that smooths distributions and achieves SOTA performance on LLaMA-3 with lower cost.
citing papers explorer
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DUET: Optimize Token-Budget Allocation for Reinforcement Learning with Verifiable Rewards
DUET improves RLVR by allocating tokens across both prompt selection and rollout length, outperforming full-budget baselines even when using only half the tokens.
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Extending Confidence-Based Text2Cypher with Grammar and Schema Aware Filtering
Post-generation grammar and schema filtering on top of confidence scoring raises syntactic validity and execution success for Text2Cypher but increases empty outputs and lowers coverage.
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DuQuant++: Fine-grained Rotation Enhances Microscaling FP4 Quantization
DuQuant++ adapts outlier-aware fine-grained rotation to MXFP4 by matching block size to the 32-element microscaling group, enabling a single rotation that smooths distributions and achieves SOTA performance on LLaMA-3 with lower cost.