History-aware cross-attention rewards for multi-turn and chain-of-thought fine-tuning claim +2 to +4 percent task gains and 3x latency wins, but the CoT reward as written is not computable for T5.
Gomez, Łukasz Kaiser, and Illia Polosukhin
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History-Aware Cross-Attention Reinforcement: Self-Supervised Multi Turn and Chain-of-Thought Fine-Tuning with vLLM
History-aware cross-attention rewards for multi-turn and chain-of-thought fine-tuning claim +2 to +4 percent task gains and 3x latency wins, but the CoT reward as written is not computable for T5.