pith:S2BDKR6Q
Author-in-the-Loop Response Generation and Evaluation: Integrating Author Expertise and Intent in Responses to Peer Review
Author revisions act as signals to improve LLM-generated responses to peer reviews
arxiv:2602.11173 v3 · 2026-01-19 · cs.CL
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\pithnumber{S2BDKR6QL4F4KRZ43FKBZROXPH}
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Record completeness
Claims
Experiments with SOTA LLMs demonstrate the benefits of author input and evaluation-guided refinement, the impact of input specificity on response quality, and controllability-quality trade-offs.
That paper revisions serve as reliable proxies for author signals and that the collected triplets capture genuine author expertise and intent without systematic bias from revision practices.
Introduces Re3Align dataset of review-response-revision triplets, REspGen author-in-the-loop generation framework, and REspEval multi-metric suite for controllable peer-review response generation.
Cited by
Receipt and verification
| First computed | 2026-05-26T01:03:25.297462Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
96823547d05f0bc5473cd9541cc5d779cd3729154e04ad63dc8b6c9a0c801ad3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/S2BDKR6QL4F4KRZ43FKBZROXPH \
| 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: 96823547d05f0bc5473cd9541cc5d779cd3729154e04ad63dc8b6c9a0c801ad3
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
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