Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias | Paper Citation Record

Observation 6b11ec09-6a65-4413-abe8-4c72f500fe58 · outbound

This paper cites Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:30.893069Z

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Observation fccb552d-e6d0-4faf-a9d1-e0e1fa8deaa4 · outbound

This paper cites Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:31.022034Z

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Observation 014bf2bb-1cd2-42d3-9c03-d0dcad5d3b1e · outbound

This paper cites Lessons from the Trenches on Reproducible Evaluation of Language Models.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Lessons from the Trenches on Reproducible Evaluation of Language Models

Reference 3

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Observation f9520590-b520-4114-809c-dcf4fc339a6b · outbound

This paper cites Chen and Joshua Goodman.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Chen and Joshua Goodman

Reference 4

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Observation 97aaba99-e792-4e0e-bc39-a513db548ebd · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Training Verifiers to Solve Math Word Problems

Reference 5

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Observation 101f7fce-98d1-4116-9ce4-1cbea45de1d8 · outbound

This paper cites Cover and Joy A.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Cover and Joy A

Reference 6

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Observation 8e6ed8b7-973f-4eb6-b2d6-7390f60a8eec · outbound

This paper cites Plug and play language models: A simple approach to controlled text generation.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Plug and play language models: A simple approach to controlled text generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:31.725335Z

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Observation 9e7c0f2a-cd6f-43fd-a8fe-12e4760d1144 · outbound

This paper cites RLPrompt: Optimizing discrete text prompts with rein- forcement learning.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias RLPrompt: Optimizing discrete text prompts with rein- forcement learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:31.932089Z

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Observation 79060108-2e9d-48c1-9b6f-42c5977ec721 · outbound

This paper cites Eleutherai/hendrycks_math.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Eleutherai/hendrycks_math

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:32.089630Z

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Observation 20825303-1f14-4a51-b165-85097adbda04 · outbound

This paper cites Eleutherai/lm-evaluation-harness.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Eleutherai/lm-evaluation-harness

Reference 10

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Observation 34ff4648-6d4b-4eb1-916d-d47ede2d2e29 · outbound

This paper cites Fireworks ai chat completions api (logit_bias).https://docs.fireworks.ai/ api-reference/post-chatcompletions, 2026.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Fireworks ai chat completions api (logit_bias).https://docs.fireworks.ai/ api-reference/post-chatcompletions, 2026

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:32.363753Z

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Observation 394ba1f5-1cb0-418e-979a-071d95f1f483 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Gemma 2: Improving Open Language Models at a Practical Size

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:32.478461Z

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Observation c33a35b4-d985-4688-9ec2-7fa172b43119 · outbound

This paper cites Grammar-constrained decoding for structured NLP tasks without finetuning.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Grammar-constrained decoding for structured NLP tasks without finetuning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:32.661982Z

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Observation b0048d4e-086a-4ce2-9bd3-ab9b48784bbf · outbound

This paper cites The Llama 3 Herd of Models.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias The Llama 3 Herd of Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:32.797219Z

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Observation 6fb9789e-c9c7-46f3-adb6-3bc865fa2285 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Measuring Mathematical Problem Solving With the MATH Dataset

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:32.916249Z

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Observation 8cd844a2-d1d2-4ce0-8bc1-84ff2df8980d · outbound

This paper cites Logits are all we need to adapt closed models.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Logits are all we need to adapt closed models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:33.016166Z

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Observation 1b4cfb9e-76e0-49db-8df8-ef5ecf5e4158 · outbound

This paper cites Horvitz and Donovan J.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Horvitz and Donovan J

Reference 17

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Observation 91e8a0ec-9e1f-4ac8-b20f-bc309ffaccdb · outbound

This paper cites Parameter-efficient transfer learning for NLP.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Parameter-efficient transfer learning for NLP

Reference 18

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Observation 05162abc-cddf-4dc2-a19e-3df86c2ec6ec · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias LoRA: Low-Rank Adaptation of Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:33.393663Z

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Observation 3af01e64-6e5d-4a70-874d-1e40b846f422 · outbound

This paper cites Idavidrein/gpqa.https://huggingface.co/datasets/Idavidrein/gpqa, 2026.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Idavidrein/gpqa.https://huggingface.co/datasets/Idavidrein/gpqa, 2026

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:33.501565Z

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Observation c18bc3b4-60a7-4d01-bb7e-a7340c4f07f5 · outbound

This paper cites Automata-based constraints for language model decoding.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Automata-based constraints for language model decoding

Reference 21

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Observation da71eb42-51c4-479e-9873-622e0c8a71d8 · outbound

This paper cites an unresolved cited work.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Unresolved cited work

Reference 22

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Observation 3965d73c-8964-4b96-9738-aa4e0ba1d645 · outbound

This paper cites GeDi: Generative discriminator guided sequence generation.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias GeDi: Generative discriminator guided sequence generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:33.796169Z

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Observation 0a3b7435-d55c-4579-ba3a-e51d376dcf8c · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias The power of scale for parameter-efficient prompt tuning

Reference 24

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Observation 0c49f1f6-c3bb-4646-8bc9-bd6cd4f4ac63 · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Prefix-tuning: Optimizing continuous prompts for generation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:33.969742Z

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Observation 8d921ba2-1a22-4ecc-b287-82451fccb6b1 · outbound

This paper cites Note on the general case of the bayes-laplace formula for inductive or a posteriori probabilities.Transactions of the Faculty of Actuaries, 8(1):182–192, 1920.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Note on the general case of the bayes-laplace formula for inductive or a posteriori probabilities.Transactions of the Faculty of Actuaries, 8(1):182–192, 1920

Reference 26

Resolution: verified exact; doi, observed 2026-08-01T04:33:24.810287Z

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Observation 844e946f-8544-4b84-9a29-49e9d016175a · outbound

This paper cites Smith, and Yejin Choi.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Smith, and Yejin Choi

Reference 27

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Observation 50404aa8-9861-46f1-9719-167835872bcb · outbound

This paper cites Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning

Reference 28

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Observation ca04d61e-f743-42ac-8344-1083c44612b4 · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:34.666732Z

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Observation f10f63ac-2728-4b47-906c-8f46540150e7 · outbound

This paper cites llama.cpp server documentation (logit_bias).https://github.com/ ggml-org/llama.cpp/blob/master/tools/server/README.md, 2026.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias llama.cpp server documentation (logit_bias).https://github.com/ ggml-org/llama.cpp/blob/master/tools/server/README.md, 2026

Reference 30

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Observation b0819750-289b-41a8-93f5-9f82d0955e7a · outbound

This paper cites LM Studio openai-compatible chat completions documentation (logit_bias).

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias LM Studio openai-compatible chat completions documentation (logit_bias)

Reference 31

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Observation a72d31e0-df8e-4d5d-b2fc-0ce807ca4593 · outbound

This paper cites Neurologic decoding: (un)supervised neural text generation with predicate logic constraints.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Neurologic decoding: (un)supervised neural text generation with predicate logic constraints

Reference 32

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Observation a3408d0a-89d2-40cb-ab09-408c60fd2537 · outbound

This paper cites Azure openai chat completions reference (logit_bias).

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Azure openai chat completions reference (logit_bias)

Reference 33

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Observation 2434fb4f-e259-4d26-a0f6-4c2d988c0f1b · outbound

This paper cites Prompt engineering techniques for azure openai.https://learn.microsoft.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Prompt engineering techniques for azure openai.https://learn.microsoft

Reference 34

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Observation 1b4df1c8-9831-4f4d-bb38-51f24c35fb5c · outbound

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Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Kluwer Academic Publishers, 2004

Reference 35

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Observation 868c5eb1-2277-47c9-9f5f-e026ff29c8ff · outbound

This paper cites Openai api pricing.https://openai.com/api/pricing, 2025.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Openai api pricing.https://openai.com/api/pricing, 2025

Reference 36

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Observation 5da7b1d8-dc2d-4452-9372-7d6568ed601d · outbound

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Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Openai api reference (logit_bias)

Reference 37

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Observation ed7f2930-7143-4854-9822-294975751aa2 · outbound

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Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Prompt engineering

Reference 38

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Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias openai/gsm8k

Reference 39

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Observation ef1b7b0a-e748-41d2-aa2a-17207d7376bb · outbound

This paper cites Training language models to follow instructions with human feedback.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Training language models to follow instructions with human feedback

Reference 40

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Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Cambridge University Press, 2nd edition, 2009

Reference 41

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Observation 5b910d7a-173c-4e9c-a9f9-ef06565ae71c · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

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Observation 9ea34246-bbf7-4279-8ef3-3178a9fcf297 · outbound

This paper cites Pinsker.Information and Information Stability of Random Variables and Processes.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Pinsker.Information and Information Stability of Random Variables and Processes

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Observation ac6902b7-918b-4314-bdf3-3e4a4c14ad23 · outbound

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Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Manning, and Chelsea Finn

Reference 44

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Observation 9295b2fe-7cdd-41df-9448-45474f41b3bb · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert- networks.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Sentence-bert: Sentence embeddings using siamese bert- networks

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Observation 92f3d9a5-80d7-4581-b1e5-8b164796f1eb · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias GPQA: A Graduate-Level Google-Proof Q&A Benchmark

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Observation 1f3c036a-d329-419d-b1c2-2136fa7f5979 · outbound

This paper cites Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:36.334772Z

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Observation a1704778-bddc-434c-a999-b9420e4e06d6 · outbound

This paper cites LaMP: When large language models meet personalization.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias LaMP: When large language models meet personalization

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Observation 0c975a1f-5631-46c1-a12b-882d783253d6 · outbound

This paper cites sentence-transformers/all-mpnet-base-v2.https://huggingface.co/ sentence-transformers/all-mpnet-base-v2, 2026.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias sentence-transformers/all-mpnet-base-v2.https://huggingface.co/ sentence-transformers/all-mpnet-base-v2, 2026

Reference 49

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Observation 39070907-1663-461e-b669-64bcb5a0d556 · outbound

This paper cites Sglang openai-compatible api documentation (logit_bias).

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Sglang openai-compatible api documentation (logit_bias)

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:36.718047Z

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Observation 4ace0cee-4646-4bbc-88b8-0cf860558ce2 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

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Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:36.886250Z

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Observation bde3062d-28d9-4a45-9f57-ff3cb38654c2 · outbound

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Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias MPNet: Masked and permuted pre-training for language understanding

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Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:36.983777Z

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Observation 8781ba1e-e19e-422e-94c2-faa1b9a73cec · outbound

This paper cites Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:37.051536Z

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Observation 6ed3c352-8063-49d3-ad10-2216f1d87040 · outbound

This paper cites BBTv2: Towards a gradient-free future with large language models.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias BBTv2: Towards a gradient-free future with large language models

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Observation 7a518854-c742-4c22-95e8-cc8f817cb099 · outbound

This paper cites Black-box tuning for language-model-as-a-service.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Black-box tuning for language-model-as-a-service

Reference 55

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Observation 4fbd2ecb-7f7b-49cc-803e-323687c4dbde · outbound

This paper cites Tsybakov.Introduction to Nonparametric Estimation.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Tsybakov.Introduction to Nonparametric Estimation

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Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:37.231192Z

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Observation 0b77ac59-eee5-445d-aab6-21e90ae0f7dd · outbound

This paper cites vLLM sampling parameters documentation (logit_bias).https://docs.vllm.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias vLLM sampling parameters documentation (logit_bias).https://docs.vllm

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Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:37.293972Z

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Observation 13a86690-5b67-49cd-80f3-1aafab3058e8 · outbound

This paper cites Efficient Guided Generation for Large Language Models.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Efficient Guided Generation for Large Language Models

Reference 58

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Observation 06a9eb33-0c34-496c-b6bd-f961e3e8287c · outbound

This paper cites Transformers: State-of- the-art natural language processing.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Transformers: State-of- the-art natural language processing

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:37.488895Z

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Observation c39aaf82-509e-4758-a6ad-153650e9ef58 · outbound

This paper cites Qwen3 Technical Report.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Qwen3 Technical Report

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:37.769711Z

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Observation 6e003194-ebe1-4264-b580-ce710e3b7a15 · outbound

This paper cites FUDGE: Controlled text generation with future discriminators.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias FUDGE: Controlled text generation with future discriminators

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:37.868660Z

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Observation e1300c4c-238d-4c5f-8e0e-271341ce5647 · outbound

This paper cites Weinberger, Kianté Brantley, and Wen Sun.Q♯: Provably Optimal Distributional RL for LLM 16 Post-Training.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Weinberger, Kianté Brantley, and Wen Sun.Q♯: Provably Optimal Distributional RL for LLM 16 Post-Training

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:38.016602Z

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Observation 7bafbb6e-e08c-4e65-84e4-19d1196fe0ba · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Fine-Tuning Language Models from Human Preferences

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:38.159733Z

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Observation c331cf22-2407-4c58-bc73-ed5aca07c70b · outbound

This paper cites an unresolved cited work.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:38.283158Z

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Observation 7f2c2e7d-fcad-4aa6-8bda-d69a7550b22a · outbound

This paper cites Letp= softmax(u+z) =∇ψ(z).

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Letp= softmax(u+z) =∇ψ(z)

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:38.428784Z

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Observation cf0219a5-82dd-46d1-98e1-578e7bf79a77 · outbound

This paper cites doi: 10.18653/v1/2020.emnlp-demos.6.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias doi: 10.18653/v1/2020.emnlp-demos.6

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:37.638054Z

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Observation 673f318c-8e0b-4cb7-b734-b2e389d0ee43 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:31.444501Z

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