Unverified50% confidenceFactExact time
SPTA's solution is divided into two stages: stage one collects student prefixes of random lengths; stage two uses RLVR to train the teacher to adapt to these prefixes.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
11/3/2026
First Seen
Valid until: 2/1/2027
Sources
Related Entities
Related Claims
UnverifiedThe R2S pipeline has three steps: 1) starting from the untrained student model, mine the states where it diverges most from the teacher; 2) run teacher takeovers from these states and filter the takeover segments using reward-free checks (consensus or LLM judging); 3) fine-tune the teacher scorer on the filtered takeover data, then freeze it as the sole scorer for standard OPD.69% similarUnverifiedThe core idea of SPLIT-RL is to separate the training of visual reasoning and language reasoning into two non-overlapping stages.68% similarUnverifiedSimPOTrans adopts a two-stage RL post-training pipeline: the first stage lets the model produce behavior conducive to simultaneous interpretation under partial speech input, and the second stage further strengthens its adaptive capability.65% similarUnverifiedMainstream code large models all adopt a two-stage strategy of "pretraining + instruction fine-tuning," with the second stage using alignment techniques such as RLHF or DPO.64% similarUnverifiedDirect Preference Optimization(DPO,2023年)通过数学变换将RLHF的两阶段问题压缩为单阶段监督学习,无需显式奖励模型62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1130763API
curl https://kongchang.com/api/v1/knowledge/claims/1130763MCP
get_claim(id=1130763)