pith:4TKVYUQ3
HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention Heads
HeadRank reranks passages by aligning LLM attention heads to preferences in continuous space without decoding.
arxiv:2604.17237 v2 · 2026-04-19 · cs.IR · cs.AI
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\usepackage{pith}
\pithnumber{4TKVYUQ35CIMP6EFZW2EEDAWDD}
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Record completeness
Claims
HeadRank consistently outperforms generative and decoding-free baselines with 100% formatting success. At 4B, 57.4% of relevant middle-zone documents reach the top quartile versus 14.2% for irrelevant ones -- a 43-percentage-point selectivity gap that demonstrates the effectiveness of attention-space preference alignment for listwise reranking.
That entropy-regularized head selection combined with hard adjacent-level preference pairs and a distribution regularizer can reliably overcome attention homogenization in middle context using only 211 training queries without introducing new biases or overfitting to the small training set.
HeadRank improves decoding-free passage reranking by preference-aligning attention heads to increase discriminability in middle-context documents, outperforming baselines on 14 benchmarks with only 211 training queries.
Receipt and verification
| First computed | 2026-05-20T01:05:13.893425Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e4d55c521be890c7f885cdb4420c1618eac1c35bef825b35821ce0dc4a4c10b3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4TKVYUQ35CIMP6EFZW2EEDAWDD \
| 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: e4d55c521be890c7f885cdb4420c1618eac1c35bef825b35821ce0dc4a4c10b3
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.IR",
"submitted_at": "2026-04-19T03:43:42Z",
"title_canon_sha256": "460dfc3d414688b56310e270bb82f31d4742ed23010bf53b87b7a06001d8e8ef"
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