Online Knowledge Distillation with Reward Guidance | Paper Citation Record

Observation 59addfc3-77f6-42dc-9b13-99b28a498885 · outbound

This paper cites Improved algorithms for linear stochastic bandits.

Online Knowledge Distillation with Reward Guidance Improved algorithms for linear stochastic bandits

Reference 1

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Observation b69b458e-c723-4647-bb7d-58d1371ed75a · outbound

This paper cites Gpt-4 technical report.

Online Knowledge Distillation with Reward Guidance Gpt-4 technical report

Reference 2

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Observation 66c8fd9c-96b9-4e6a-9be4-f58ce783a0ba · outbound

This paper cites On-policy distillation of language models: Learning from self-generated mistakes.

Online Knowledge Distillation with Reward Guidance On-policy distillation of language models: Learning from self-generated mistakes

Reference 3

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Observation 6d333c0d-b3e6-439f-b780-8e2532147483 · outbound

This paper cites PaLM 2 Technical Report.

Online Knowledge Distillation with Reward Guidance PaLM 2 Technical Report

Reference 4

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Observation 2282d970-697f-4073-aa62-40c41c0c9510 · outbound

This paper cites Claude 3 family.

Online Knowledge Distillation with Reward Guidance Claude 3 family

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:50.139409Z

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Observation d52f406c-99ba-418d-b2c5-263817954980 · outbound

This paper cites Gpt-4 is openai’s most advanced system, producing safer and more useful responses, 2024.

Online Knowledge Distillation with Reward Guidance Gpt-4 is openai’s most advanced system, producing safer and more useful responses, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:50.127285Z

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Observation 710f5ccd-f9e6-472b-989a-e103c6851d94 · outbound

This paper cites Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF.

Online Knowledge Distillation with Reward Guidance Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.213678Z

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Observation e953fc06-285d-4d15-baab-417c2c7dc0e6 · outbound

This paper cites Knowledge distillation of black-box large language models, 2024.

Online Knowledge Distillation with Reward Guidance Knowledge distillation of black-box large language models, 2024

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:50.113522Z

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Observation 72cfc732-41d6-4d40-8a45-21290303f112 · outbound

This paper cites Information-theoretic considerations in batch reinforcement learning.

Online Knowledge Distillation with Reward Guidance Information-theoretic considerations in batch reinforcement learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:50.100612Z

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Observation 00ef125b-bfbd-47d0-a74b-e3139451a397 · outbound

This paper cites Distilling knowledge learned in bert for text generation.

Online Knowledge Distillation with Reward Guidance Distilling knowledge learned in bert for text generation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:50.087106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4208ee3d-3827-491b-b60f-b8609a9c7a79 · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

Online Knowledge Distillation with Reward Guidance Gonzalez, Ion Stoica, and Eric P

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.232858Z

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Observation 34ae95c8-2171-4fa9-8927-572d0ea0e9d7 · outbound

This paper cites Deep reinforcement learning from human preferences.

Online Knowledge Distillation with Reward Guidance Deep reinforcement learning from human preferences

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.236919Z

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Observation ca2004ef-5cdb-4b16-8c46-a47a8af4582d · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Online Knowledge Distillation with Reward Guidance Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.240934Z

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Observation 98b21e71-a03c-41e5-af1b-ba32a9930d78 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Online Knowledge Distillation with Reward Guidance Training Verifiers to Solve Math Word Problems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.244981Z

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Observation fdbadbfd-da79-4e23-a822-dc15546d48e4 · outbound

This paper cites Free dolly: Introducing the world’s first truly open instruction-tuned llm, 2023.

Online Knowledge Distillation with Reward Guidance Free dolly: Introducing the world’s first truly open instruction-tuned llm, 2023

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.249279Z

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Observation f3317dc0-9d1d-4283-97f0-72bd436f7dcc · outbound

This paper cites Ultrafeedback: Boosting language models with scaled ai feedback.

Online Knowledge Distillation with Reward Guidance Ultrafeedback: Boosting language models with scaled ai feedback

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:50.052465Z

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Observation 4d41c677-2518-404b-a14c-a747c279317b · outbound

This paper cites Stochastic linear optimization under bandit feedback.

Online Knowledge Distillation with Reward Guidance Stochastic linear optimization under bandit feedback

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:50.040022Z

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Observation ce12f250-4f44-48c1-ad61-7200fb8b2439 · outbound

This paper cites Openllama: An open reproduction of llama.

Online Knowledge Distillation with Reward Guidance Openllama: An open reproduction of llama

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:50.028443Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ad3fb493-2ba3-4271-a22d-85192fab2dc5 · outbound

This paper cites Minillm: Knowledge distillation of large language models.

Online Knowledge Distillation with Reward Guidance Minillm: Knowledge distillation of large language models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.266807Z

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Observation 49e448cb-6a11-4e17-ae8d-5ecd6eb7f0f3 · outbound

This paper cites Direct Language Model Alignment from Online AI Feedback.

Online Knowledge Distillation with Reward Guidance Direct Language Model Alignment from Online AI Feedback

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.270567Z

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Observation 3afeb083-cbd3-4ad9-8b15-2882493f894d · outbound

This paper cites Measuring massive multitask language understanding.

Online Knowledge Distillation with Reward Guidance Measuring massive multitask language understanding

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.275247Z

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Observation afd52b7c-3055-4d4d-84ab-0bea56822713 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Online Knowledge Distillation with Reward Guidance Distilling the Knowledge in a Neural Network

Reference 23

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Observation 04deee70-79ff-4e23-b213-0866dca0cf22 · outbound

This paper cites Unnatural instructions: Tuning language models with (almost) no human labor.

Online Knowledge Distillation with Reward Guidance Unnatural instructions: Tuning language models with (almost) no human labor

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:50.001512Z

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Observation 095018b2-f406-4c49-a671-cd95e0e668e3 · outbound

This paper cites Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes.

Online Knowledge Distillation with Reward Guidance Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.983865Z

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Observation ddd20eab-7613-46db-b578-35c42979b48d · outbound

This paper cites Adversarial moment-matching distillation of large language models.

Online Knowledge Distillation with Reward Guidance Adversarial moment-matching distillation of large language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.962918Z

Source-reported events for the cited work

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Observation 9d3ce41b-3151-416d-944b-76ebfa0b15a2 · outbound

This paper cites an unresolved cited work.

Online Knowledge Distillation with Reward Guidance Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.291106Z

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Observation b7de2377-19f5-4805-8bd6-fb1023fece96 · outbound

This paper cites Sequence-level knowledge distillation.

Online Knowledge Distillation with Reward Guidance Sequence-level knowledge distillation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.935337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f367807d-13ac-45ef-b61b-4af49f4a7255 · outbound

This paper cites Tinybert: Distilling bert for natural language understanding.

Online Knowledge Distillation with Reward Guidance Tinybert: Distilling bert for natural language understanding

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.948970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5fbb818f-063b-466e-85ef-e368a5800469 · outbound

This paper cites Direct Preference Knowledge Distillation for Large Language Models.

Online Knowledge Distillation with Reward Guidance Direct Preference Knowledge Distillation for Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.311523Z

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Observation 28d439b1-116d-4074-9e5d-17e9966d8356 · outbound

This paper cites Distillm: Towards streamlined distillation for large language models.

Online Knowledge Distillation with Reward Guidance Distillm: Towards streamlined distillation for large language models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.923252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 59d05b33-e740-40c0-bf04-d1503d336845 · outbound

This paper cites Autoregressive knowledge distillation through imitation learning.

Online Knowledge Distillation with Reward Guidance Autoregressive knowledge distillation through imitation learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.899697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a062182a-381a-4113-a7ca-2b9a8f9fb9fa · outbound

This paper cites Openorca: An open dataset of gpt augmented flan reasoning traces, 2023.

Online Knowledge Distillation with Reward Guidance Openorca: An open dataset of gpt augmented flan reasoning traces, 2023

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.911217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2a94db03-1fd9-44d4-b52f-aaccfd86e1d6 · outbound

This paper cites TinyGSM: achieving >80% on GSM8k with small language models.

Online Knowledge Distillation with Reward Guidance TinyGSM: achieving >80% on GSM8k with small language models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.328172Z

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Observation 0b1527a5-863c-4975-9caf-eb50e87ce8ad · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

Online Knowledge Distillation with Reward Guidance Rouge: A package for automatic evaluation of summaries

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.887728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d77b095e-aa7a-44bf-bc36-b8993ea832d3 · outbound

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

Online Knowledge Distillation with Reward Guidance Training language models to follow instructions with human feedback

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.335177Z

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Observation c400cc17-38ff-4af9-9e18-eb952fb59898 · outbound

This paper cites Orca: Progressive Learning from Complex Explanation Traces of GPT-4.

Online Knowledge Distillation with Reward Guidance Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.331916Z

Source-reported events for the cited work

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Observation b82c11d5-5432-4c83-9329-afdfa5b23c4e · outbound

This paper cites Linearly parameterized bandits.

Online Knowledge Distillation with Reward Guidance Linearly parameterized bandits

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.866336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d098173b-6f47-467a-becf-6decefae2354 · outbound

This paper cites Iterative Reasoning Preference Optimization.

Online Knowledge Distillation with Reward Guidance Iterative Reasoning Preference Optimization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.338434Z

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Observation 55a182ff-d4d1-48db-b5c8-ccd0febaee66 · outbound

This paper cites Hybrid rl: Using both offline and online data can make rl efficient.

Online Knowledge Distillation with Reward Guidance Hybrid rl: Using both offline and online data can make rl efficient

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.852660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cf70783c-9ce3-47e1-a898-1a34128b8653 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Online Knowledge Distillation with Reward Guidance Proximal Policy Optimization Algorithms

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.346880Z

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Observation 6f562761-1290-4e74-8baf-5206bf01bc0a · outbound

This paper cites Patient knowledge distillation for bert model compression.

Online Knowledge Distillation with Reward Guidance Patient knowledge distillation for bert model compression

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.827919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9f0d88d0-0d9f-4a1c-8562-0d5b05c465e6 · outbound

This paper cites Learning to summarize with human feedback.

Online Knowledge Distillation with Reward Guidance Learning to summarize with human feedback

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.840182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8bf6598a-24a4-4fb3-a270-8dd9a7bb1ea4 · outbound

This paper cites Of moments and match- ing: A game-theoretic framework for closing the imitation gap.

Online Knowledge Distillation with Reward Guidance Of moments and match- ing: A game-theoretic framework for closing the imitation gap

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.803933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 56170899-96d4-424b-831d-609f23fc7305 · outbound

This paper cites Challenging big-bench tasks and whether chain-of-thought can solve them.

Online Knowledge Distillation with Reward Guidance Challenging big-bench tasks and whether chain-of-thought can solve them

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.816354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e2523298-82ef-452f-aff5-ac7a8ab597cb · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Online Knowledge Distillation with Reward Guidance Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.379150Z

Source-reported events for the cited work

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Observation 79e79d0a-3303-4470-a879-5698d3738d7c · outbound

This paper cites Hashimoto.

Online Knowledge Distillation with Reward Guidance Hashimoto

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.374653Z

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Observation bbe4ff12-43fe-4232-bcd4-e15dd3add8bc · outbound

This paper cites Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers.

Online Knowledge Distillation with Reward Guidance Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.387131Z

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Observation 30b4d144-9a8c-4fbf-88ff-0a0d427ae1d2 · outbound

This paper cites Selective knowledge distillation for neural machine translation.

Online Knowledge Distillation with Reward Guidance Selective knowledge distillation for neural machine translation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.783300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7f0a7e71-d80b-4079-9c28-82e5807ba4a4 · outbound

This paper cites Self-instruct: Aligning language models with self-generated in- structions.

Online Knowledge Distillation with Reward Guidance Self-instruct: Aligning language models with self-generated in- structions

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.751385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ea241061-40c4-49a8-be59-4fa3a0749da7 · outbound

This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.

Online Knowledge Distillation with Reward Guidance Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.764237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a7fd4a4a-8696-4e12-878d-91962d7ac8ec · outbound

This paper cites f-divergence minimization for sequence-level knowledge distillation.

Online Knowledge Distillation with Reward Guidance f-divergence minimization for sequence-level knowledge distillation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.726555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9193a10d-b238-4dfa-b57a-18285898ac5b · outbound

This paper cites Super-naturalinstructions: Generalization via declarative instructions on 1600+ nlp tasks.

Online Knowledge Distillation with Reward Guidance Super-naturalinstructions: Generalization via declarative instructions on 1600+ nlp tasks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.739753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 31f262d2-7e67-4908-bc9b-f3c41959ec52 · outbound

This paper cites Qwen2 Technical Report.

Online Knowledge Distillation with Reward Guidance Qwen2 Technical Report

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.412002Z

Source-reported events for the cited work

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Observation 76c67b11-d524-4152-8e7a-03e5b443adc0 · outbound

This paper cites Iterative preference learning from human feedback: Bridging theory and practice for rlhf under kl-constraint.

Online Knowledge Distillation with Reward Guidance Iterative preference learning from human feedback: Bridging theory and practice for rlhf under kl-constraint

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.408130Z

Source-reported events for the cited work

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Observation c770c7b2-3bab-4173-b871-f675889b37eb · outbound

This paper cites Provable offline preference-based reinforcement learning.

Online Knowledge Distillation with Reward Guidance Provable offline preference-based reinforcement learning

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.694198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 72392bfe-04c8-4e01-94bd-8013d2fedae8 · outbound

This paper cites Online iterative reinforcement learning from human feedback with general preference model.

Online Knowledge Distillation with Reward Guidance Online iterative reinforcement learning from human feedback with general preference model

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.707419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 10a3c533-330a-43cd-8bf4-351f10f6a8fd · outbound

This paper cites Plad: Preference-based large language model distillation with pseudo-preference pairs.

Online Knowledge Distillation with Reward Guidance Plad: Preference-based large language model distillation with pseudo-preference pairs

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.682195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a52340ce-2c6a-4184-ad7a-2a7213c3799b · outbound

This paper cites TinyLlama: An Open-Source Small Language Model.

Online Knowledge Distillation with Reward Guidance TinyLlama: An Open-Source Small Language Model

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.424641Z

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Observation 84784f89-109a-40bb-bd27-586a98d19ecc · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

Online Knowledge Distillation with Reward Guidance Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.436721Z

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Observation 3f336086-d72a-4518-ae58-2840ed8c28f1 · outbound

This paper cites Mathematical analysis of machine learning algorithms.

Online Knowledge Distillation with Reward Guidance Mathematical analysis of machine learning algorithms

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.432511Z

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Observation 8e007a6a-5f47-487e-b2f2-221b56409059 · outbound

This paper cites Starling-7b: Improving llm helpfulness & harmlessness with rlaif, November 2023.

Online Knowledge Distillation with Reward Guidance Starling-7b: Improving llm helpfulness & harmlessness with rlaif, November 2023

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.443540Z

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Observation 7d12c72a-b00d-46dc-b77e-05f94e5f29cd · outbound

This paper cites Agieval: A human-centric benchmark for evaluating foundation models.

Online Knowledge Distillation with Reward Guidance Agieval: A human-centric benchmark for evaluating foundation models

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:49.654744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1dd11a70-1af2-4288-9ece-00b737f417f7 · outbound

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

Online Knowledge Distillation with Reward Guidance Fine-Tuning Language Models from Human Preferences

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.447695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad94eeee-5986-4c0f-956d-b8a04ca31f6f · outbound

This paper cites Measurements of nematic susceptibility with phase sensitive nuclear magnetic resonance in pulsed strain fields.

Online Knowledge Distillation with Reward Guidance Measurements of nematic susceptibility with phase sensitive nuclear magnetic resonance in pulsed strain fields

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.203879Z

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Unavailable: canonical work link unavailable.

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