pith:AGTVPSHA
Can David Beat Goliath? On Multi-Hop Reasoning with Resource-Constrained Agents
David-GRPO lets small agents improve multi-hop QA by injecting expert trajectories and scoring evidence coverage during low-batch RL.
arxiv:2601.21699 v3 · 2026-01-29 · cs.CL · cs.IR
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Record completeness
Claims
On agents up to 1.5B parameters trained on four RTX 3090 GPUs, David-GRPO improves over prior RL baselines under the same low-budget setting on six multi-hop QA benchmarks.
That a small number of injected expert trajectories plus evidence-coverage scoring will reliably increase retrieval depth and evidence coverage without introducing bias or overfitting in the low-batch regime.
David-GRPO improves low-budget RL training for multi-hop QA agents by bootstrapping expert trajectories and converting on-policy partial successes into evidence-coverage signals that increase retrieval depth.
References
Receipt and verification
| First computed | 2026-08-20T01:22:07.080492Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
01a757c8e099497b3192000008b90370263490149ca715198c02dbdbf91b9744
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AGTVPSHATFEXWMMSAAAAROIDOA \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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