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pith:GAEAA7U3

pith:2026:GAEAA7U3YUL3PO6NZNED5P3N25
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Alignment Reduces Expressed but Not Encoded Gender Bias: A Unified Framework and Study

Christophe Marsala, Marcin Detyniecki, Marie-Jeanne Lesot, Nour Bouchouchi, Thibault Laugel, Xavier Renard

Alignment reduces expressed gender bias in outputs but leaves measurable associations intact inside the model's representations.

arxiv:2603.24125 v2 · 2026-03-25 · cs.CL

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

Contrary to prior work reporting weak or inconsistent correlations, we find a consistent association between latent gender information and expressed bias when measured under the unified protocol. [...] while the latter indeed reduces expressed bias, measurable gender-related associations are still present in internal representations, and can be reactivated under adversarial prompting.

C2weakest assumption

That the chosen neutral prompts and the specific methods for extracting latent gender information from internal representations accurately reflect the model's true encoded associations without being artifacts of prompt design or measurement choices.

C3one line summary

Alignment reduces expressed gender bias in LLM outputs but does not remove the underlying encoded gender associations in internal representations.

References

36 extracted · 36 resolved · 0 Pith anchors

[1] In: NeurIPS (2024) 2024
[2] In: NeurIPS (2016) 2016
[3] Caliskan, A., Bryson, J.J., Narayanan, A.: Semantics derived automatically from language corpora contain human-like biases. Science356, 183–186 (2017) 2017
[4] In: ACL (2022) 2022
[5] Psychology of sport and exercise 14, 136–144 (2013) 2013
Receipt and verification
First computed 2026-05-18T03:10:03.407514Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3008007e9bc517b7bbcdcb483ebf6dd764b99bf14feacbb25a5d358cdd6ae221

Aliases

arxiv: 2603.24125 · arxiv_version: 2603.24125v2 · doi: 10.48550/arxiv.2603.24125 · pith_short_12: GAEAA7U3YUL3 · pith_short_16: GAEAA7U3YUL3PO6N · pith_short_8: GAEAA7U3
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GAEAA7U3YUL3PO6NZNED5P3N25 \
  | 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: 3008007e9bc517b7bbcdcb483ebf6dd764b99bf14feacbb25a5d358cdd6ae221
Canonical record JSON
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    "primary_cat": "cs.CL",
    "submitted_at": "2026-03-25T09:35:18Z",
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