Position: It's Time to Optimize LLMs for Self-Consistency | Paper Citation Record

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This paper cites Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts.

Position: It's Time to Optimize LLMs for Self-Consistency Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts

Reference 63

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Position: It's Time to Optimize LLMs for Self-Consistency Logic, language, and security: essays dedicated to Andre Scedrov on the occasion of his 65th birthday , pages=

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Observation 42495f78-5459-4bbb-86fe-7db80ebfaa70 · outbound

This paper cites Measuring and Reducing Gendered Correlations in Pre-trained Models.

Position: It's Time to Optimize LLMs for Self-Consistency Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T01:00:03.678214Z

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Observation aae94d49-cd63-46c6-b266-6a3eeba0a79b · outbound

This paper cites Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society , pages =.

Position: It's Time to Optimize LLMs for Self-Consistency Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society , pages =

Reference 66

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Observation 186ae3c9-cc82-45b9-962a-3cc8c51c307b · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency and Rossi, Ryan A

Reference 67

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Observation d8bd19a9-2e85-41dc-a8c3-55b3f3d19e7c · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency and Rambachan, Ashesh and Mullainathan, Sendhil , booktitle =

Reference 68

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Observation 1f554348-a0a4-488c-a4d9-c049d64e80e1 · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency Highly accurate protein structure prediction with

Reference 69

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Observation 8d35d536-0ec7-42fb-9fd7-d245812d75ec · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency 2025 , month = feb, day =

Reference 70

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Observation e9261986-e2b4-47fb-83dc-78acc858b010 · outbound

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Reference 71

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Observation af4b989b-28a3-40b0-8841-89303ad98f45 · outbound

This paper cites Position: Will we run out of data? Limits of.

Position: It's Time to Optimize LLMs for Self-Consistency Position: Will we run out of data? Limits of

Reference 72

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Observation 50a6009a-a0e6-4cb6-a2d5-3eca3430d478 · outbound

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Observation 6f999f18-5ff4-4081-9dc3-237600849dc4 · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency The Twelfth International Conference on Learning Representations , year=

Reference 75

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Observation aa64b172-31fb-47d1-b215-90bdd00d1e6d · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T01:00:04.189873Z

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Observation 0b59c8d4-b23b-45e7-b4a5-6685a77dae00 · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency What Did I Do Wrong? Quantifying LLM s' Sensitivity and Consistency to Prompt Engineering

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T01:00:04.283696Z

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Observation a744e4f3-c032-4dd9-b761-b344b05b4e5b · outbound

This paper cites Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 , pages =.

Position: It's Time to Optimize LLMs for Self-Consistency Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 , pages =

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T01:00:04.324946Z

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Observation 58a5240f-5ee3-42b4-b91b-06bd4c537ab1 · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency First Workshop on Foundations of Reasoning in Language Models , year=

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T01:00:04.405254Z

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Observation 567a9d5e-9ebb-4d7f-a119-37014f8577b1 · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency Bell , booktitle=

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T01:00:04.462238Z

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Position: It's Time to Optimize LLMs for Self-Consistency Transactions on Machine Learning Research , issn=

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T01:00:04.581949Z

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Observation b302514d-8ab7-4fa0-8eea-49a8990029fd · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency Journal of the American statistical Association , volume=

Reference 82

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Observation 39592e61-bbf8-40d1-b6f8-a485a784f964 · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency Beyond Binary Rewards: Training

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:00:14.172064Z

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Observation 134876b5-d102-4f61-933e-cce71c257a27 · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency Taming Overconfidence in

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:00:13.968074Z

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Observation 3ad2562a-255d-42a9-99f8-60657a1b7bf9 · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style , url =

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:00:13.746400Z

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Observation 456f6f3e-53ac-477b-a5f3-c370ba8c1f2b · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency and Darzi, Ara and Etemadi, Mozziyar and Garcia-Vicente, Florencia and Gilbert, Fiona J

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Observation a743035c-3e22-4f7b-8048-84edbfc5784c · outbound

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Reference 87

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Position: It's Time to Optimize LLMs for Self-Consistency Unresolved cited work

Reference 88

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Observation e1bbe726-1d4f-4ab1-b67f-9bb97b0457d4 · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency Training language models to follow instructions with human feedback , url =

Reference 89

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Observation a5b30529-1350-45ae-8280-0135a486c212 · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency 2025 , eprint=

Reference 90

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Reference 91

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Reference 92

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Position: It's Time to Optimize LLMs for Self-Consistency Findings of the Association for Computational Linguistics: EMNLP 2025 , year =

Reference 93

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Observation c08add28-008d-4c07-a974-79c20a406d08 · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency Goodfire , year =

Reference 95

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Observation 5b8ab816-8b26-4f64-91d6-25d106b51c1b · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency The Twelfth International Conference on Learning Representations , year=

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Observation ca98f7f3-4ffc-422a-a313-7eb5aff739f2 · outbound

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Observation 2116e455-6a34-4de1-9f13-9771682e4607 · outbound

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Observation 2229003b-0522-4656-a36b-ea3af1f58f5f · outbound

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Observation fb0a62de-816c-409f-8a84-40a342faf50a · outbound

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Position: It's Time to Optimize LLMs for Self-Consistency The Alignment Problem from a Deep Learning Perspective , booktitle =

Reference 100

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Pith citing papers