pith:BCAIFHOP
Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex
Group-based RL for LLMs implicitly projects policies toward targets on the response simplex; LPO makes the projection explicit and exact.
arxiv:2605.06139 v2 · 2026-05-07 · cs.LG · cs.AI
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Claims
LPO provides (i) monotonic improvement on the listwise objective with bounded, zero-sum, and self-correcting projection gradients, and (ii) flexibility in divergence selection with distinct structural properties through the decoupled projection step.
That the implicit targets defined by existing group-based methods can be exactly recovered or improved upon by restricting the proximal RL objective to the response simplex and performing exact divergence minimization.
LPO reframes group-based RLVR as explicit target-projection on the LLM response simplex and performs exact divergence minimization to achieve monotonic listwise improvement with bounded gradients.
Receipt and verification
| First computed | 2026-05-21T01:05:20.390028Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0880829dcff356bfd094ccddd6c3a9d5e6d42ed0aff31d36e228015d8e78af88
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BCAIFHOP6NLL7UEUZTO5NQ5J2X \
| jq -c '.canonical_record' \
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Canonical record JSON
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