pith:RTQGP7BP
MemBuilder: Reinforcing LLMs for Long-Term Memory Construction via Attributed Dense Rewards
MemBuilder trains a 4B model with dense rewards to outperform closed-source LLMs on long-term dialogue memory.
arxiv:2601.05488 v4 · 2026-01-09 · cs.CL
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\pithnumber{RTQGP7BP4LMGQEVOYJLLX5NVJT}
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Record completeness
Claims
Experimental results show that MemBuilder enables a 4B-parameter model to outperform state-of-the-art closed-source baselines, exhibiting strong generalization across long-term dialogue benchmarks.
That synthetic session-level question generation produces unbiased, representative dense rewards that accurately measure and improve real-world memory construction quality without introducing artifacts.
MemBuilder trains 4B-parameter models with attributed dense rewards to outperform closed-source baselines on long-term dialogue memory tasks.
Formal links
Receipt and verification
| First computed | 2026-06-23T02:13:19.896189Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8ce067fc2fe2d86812aec256bbf5b54ceb75bb201f921243cb2addeb7842f823
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RTQGP7BP4LMGQEVOYJLLX5NVJT \
| 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())"
# expect: 8ce067fc2fe2d86812aec256bbf5b54ceb75bb201f921243cb2addeb7842f823
Canonical record JSON
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