Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability | Paper Citation Record

Observation 98b69021-97a2-44e2-9763-6abb1118bb58 · outbound

This paper cites Language models are few-shot learners,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Language models are few-shot learners,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.210698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1812db4-a0bc-4667-ad44-fd6c7278b68a · outbound

This paper cites Language models are unsupervised multitask learners,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Language models are unsupervised multitask learners,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.219284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3966a9c-5b91-4152-b30a-b478383c6509 · outbound

This paper cites How many data points is a prompt worth?.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability How many data points is a prompt worth?

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.224801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f3a4864-4e04-447b-a013-b6613aa6a73b · outbound

This paper cites A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.230226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18db569c-24c1-45ec-bd85-31d81a8856fe · outbound

This paper cites Orca 2: Teaching small language models how to reason,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Orca 2: Teaching small language models how to reason,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.237630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88e77e2b-a18d-43a1-a0fc-3035525f1d79 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Chain-of-thought prompting elicits reasoning in large language models,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.243258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d769a000-8baa-4909-add5-02b14e90f632 · outbound

This paper cites Tree of thoughts: deliberate problem solving with large language models,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Tree of thoughts: deliberate problem solving with large language models,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.253840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40c8ec38-e37d-48a2-884c-197e34eba25c · outbound

This paper cites Evaluating Consistency and Reasoning Capabilities of Large Language Models.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Evaluating Consistency and Reasoning Capabilities of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.262619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3757aab-b2ac-4f54-8036-bfe20918ac78 · outbound

This paper cites LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.271377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e19bff66-49ed-4f99-af76-1264f20f4c32 · outbound

This paper cites Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.278489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36bb8b42-14b4-4dbb-9604-457fedc2b329 · outbound

This paper cites Large Language Models: A Survey.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Large Language Models: A Survey

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.286742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d711e744-6740-4214-9a2a-d4fa81a14483 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability PaLM: Scaling Language Modeling with Pathways

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.295471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f8d12ff-88b8-4e3b-ada2-ec0858bbe784 · outbound

This paper cites Distilling Task-Specific Knowledge from BERT into Simple Neural Networks.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Distilling Task-Specific Knowledge from BERT into Simple Neural Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.305643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c1b7307-c6b4-46b2-b806-67ef6513496a · outbound

This paper cites TinyBERT: Distilling BERT for Natural Language Understanding,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability TinyBERT: Distilling BERT for Natural Language Understanding,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.312409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae1240ab-bf61-4e4b-8bd5-08dac906f5d8 · outbound

This paper cites A survey on model compression for large language models,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability A survey on model compression for large language models,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.318425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc464acc-3672-4d20-8166-1b425735dad7 · outbound

This paper cites Robustness-Reinforced Knowledge Distillation With Correlation Distance and Network Pruning,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Robustness-Reinforced Knowledge Distillation With Correlation Distance and Network Pruning,

Reference 16

Resolution: verified exact; raw_fallback, observed 2026-08-16T11:14:35.465463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 205069e1-d13f-4f4a-bf81-09b72aac1138 · outbound

This paper cites Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.335551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbdf1f77-978b-49a2-a739-23cf6e579ac4 · outbound

This paper cites PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation,

Reference 18

Resolution: verified exact; raw_fallback, observed 2026-08-16T11:14:35.326248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7be016a7-3828-4fea-b47e-b9df5de62d82 · outbound

This paper cites Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:14:35.235959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f2bdad9-662d-4356-9eae-b177258ab2b4 · outbound

This paper cites Improve Student‘s Reasoning Generalizability through Cascading Decomposed CoTs Distillation,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Improve Student‘s Reasoning Generalizability through Cascading Decomposed CoTs Distillation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.701126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6f514958-2a04-47f7-8def-6d790ed36f17 · outbound

This paper cites Beyond Imitation: Learning Key Reasoning Steps from Dual Chain-of-Thoughts in Reasoning Distillation.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Beyond Imitation: Learning Key Reasoning Steps from Dual Chain-of-Thoughts in Reasoning Distillation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.362273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68424ea8-48fd-4ce2-8154-e08f800a1ae8 · outbound

This paper cites One teacher is enough? pre-trained language model distillation from multiple teachers,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability One teacher is enough? pre-trained language model distillation from multiple teachers,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.682170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32b23400-321c-4d2b-8556-6adc88e07744 · outbound

This paper cites Beyond Imitation: Learning Key Reasoning Steps from Dual Chain-of-Thoughts in Reasoning Distillation.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Beyond Imitation: Learning Key Reasoning Steps from Dual Chain-of-Thoughts in Reasoning Distillation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.370369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d81e9cb-a2f6-4b01-a567-0d722665be01 · outbound

This paper cites We’re getting a better idea of AI’s true carbon footprint,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability We’re getting a better idea of AI’s true carbon footprint,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.664620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2baef9c0-9ad5-4038-971c-bc99aadde51f · outbound

This paper cites Distilling Large Vision-Language Model with Out-of-Distribution Generalizability ,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Distilling Large Vision-Language Model with Out-of-Distribution Generalizability ,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.383447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5d1de52-e38c-4275-b0d1-b30bed9c1900 · outbound

This paper cites How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.401221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b777eb8-5b55-4c68-be52-747a82cf7873 · outbound

This paper cites Energy and policy considerations for modern deep learning research,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Energy and policy considerations for modern deep learning research,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.642068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef9a79be-8a3d-457c-90f4-63ee2fefb9ad · outbound

This paper cites Towards a rigorous science of interpretable machine learning,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Towards a rigorous science of interpretable machine learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.623378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2f72d52e-be27-4dd7-9f02-6c71301c8668 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Code Llama: Open Foundation Models for Code

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.409305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0859352-8950-41cf-87d8-d7c3542e2479 · outbound

This paper cites Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:14:34.945203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f388cb98-012c-41db-b296-e006bdcb0588 · outbound

This paper cites Explainability in AI Based Applications: A Framework for Comparing Different Techniques.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Explainability in AI Based Applications: A Framework for Comparing Different Techniques

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:14:34.987158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68e86581-1138-47e4-bf33-abba4f572450 · outbound

This paper cites Multimodal explanations: Justifying decisions and pointing to the evidence,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Multimodal explanations: Justifying decisions and pointing to the evidence,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.582192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 67acd858-bb00-4913-8335-0ff0bf6532d0 · outbound

This paper cites Textual explanations for self-driving vehicles,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Textual explanations for self-driving vehicles,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.603412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 24a31e83-23f5-48b4-8c34-884a9706401d · outbound

This paper cites SCOTT: Self-consistent chain-of-thought distillation,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability SCOTT: Self-consistent chain-of-thought distillation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.557491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11020271-44dd-4c07-9a27-f2121b09e107 · outbound

This paper cites The Impact of Imperfect XAI on Human-AI Decision-Making.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability The Impact of Imperfect XAI on Human-AI Decision-Making

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:14:34.911322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e380decd-ef05-4d9c-bd54-89933584f5c1 · outbound

This paper cites GPT-NeoX-20B: An open-source autoregressive language model,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability GPT-NeoX-20B: An open-source autoregressive language model,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.534008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d03cc4b7-2763-456b-9b92-07728ef5de20 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Constitutional AI: Harmlessness from AI Feedback

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.464536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c5eeee1-4791-4d24-8e43-1c2e99c5ba13 · outbound

This paper cites MiniLLM: Knowledge distillation of large language models,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability MiniLLM: Knowledge distillation of large language models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.514086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1dfe0a89-dace-4aa9-9165-a5fb0cfba560 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Distilling the Knowledge in a Neural Network

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.478311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed1622c9-09f0-4769-b435-72e85aa870fc · outbound

This paper cites Collaborative Distillation for Ultra-Resolution Universal Style Transfer.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Collaborative Distillation for Ultra-Resolution Universal Style Transfer

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:14:34.794436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e77b374e-b894-4c69-8e36-4e804050e515 · outbound

This paper cites ERDL: Efficient Retrieval Framework Based on Distillation from Large Language Models,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability ERDL: Efficient Retrieval Framework Based on Distillation from Large Language Models,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.493565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4df334a1-f535-470c-8972-dd470626dbe9 · outbound

This paper cites Learning Efficient Object Detection Models with Knowledge Distillation,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Learning Efficient Object Detection Models with Knowledge Distillation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.473530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7258449e-ce62-4ddb-b21a-61a3e922586d · outbound

This paper cites Triplet Distillation for Deep Face Recognition.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Triplet Distillation for Deep Face Recognition

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:14:34.760921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ff7ee1f4-7ecc-407f-a6f4-453edda60d00 · outbound

This paper cites Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.455034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b1ab665-5a3e-4740-aa82-e97f7594d065 · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability A Survey on Knowledge Distillation of Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.519953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fae3d5ec-891f-44c9-8386-4323c85d1ab5 · outbound

This paper cites Lora: Low-rank adaptation of large language models,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Lora: Low-rank adaptation of large language models,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.541136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 076b0ddf-f35d-4b9b-abca-75a1a6637a35 · outbound

This paper cites On the effectiveness of adapter-based tuning for pretrained language model adaptation,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability On the effectiveness of adapter-based tuning for pretrained language model adaptation,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.533713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a332118-3ebb-4b38-aba3-8ad410930bb6 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability The Power of Scale for Parameter-Efficient Prompt Tuning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.422585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 829b6fe7-5bef-4449-b3d6-20d866f33253 · outbound

This paper cites Efficiency Optimization of Large-Scale Language Models Based on Deep Learning in Natural Language Processing Tasks,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Efficiency Optimization of Large-Scale Language Models Based on Deep Learning in Natural Language Processing Tasks,

Reference 49

Resolution: verified exact; raw_fallback, observed 2026-08-16T11:14:34.636249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2726a0e4-0f88-476d-aebf-8984ffc4d260 · outbound

This paper cites LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.555181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23af0cdf-774c-438c-8714-91bc58b841d1 · outbound

This paper cites A survey on the explainability of su- pervised machine learning,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability A survey on the explainability of su- pervised machine learning,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.583008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0b18b51-2d2f-4dc3-b554-1c944bd67083 · outbound

This paper cites Baize: An Open- Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Baize: An Open- Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.356019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 128b23c6-9508-4834-8853-a7a723bfff32 · outbound

This paper cites Causability and explainability of artificial intelligence in medicine,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Causability and explainability of artificial intelligence in medicine,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.398035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 76cbda5e-7e7c-45f9-9ae2-008253d7765c · outbound

This paper cites Large Language Models Are Reasoning Teachers.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Large Language Models Are Reasoning Teachers

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.602378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 457fff00-8fc6-4855-97f3-8a2b0e7d16e3 · outbound

This paper cites Specializing Smaller Language Models towards Multi-Step Reasoning.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Specializing Smaller Language Models towards Multi-Step Reasoning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.611181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1e58e14-d50d-4ebb-9a7d-0f3a7962c376 · outbound

This paper cites Teaching small language models to reason,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Teaching small language models to reason,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.334869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8e6492d4-5e75-457b-a33e-4f4584da72e2 · outbound

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

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.623608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13966246-99c7-4232-ac64-bfcc5916e6f7 · outbound

This paper cites Explain Yourself! Leveraging Language Models for Commonsense Reasoning,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Explain Yourself! Leveraging Language Models for Commonsense Reasoning,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.317871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0556d3fa-430b-4d1d-ba92-7e91b014fb34 · outbound

This paper cites Sci-CoT: Leveraging Large Language Models for Enhanced Knowledge Distillation in Small Models for Scientific QA,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Sci-CoT: Leveraging Large Language Models for Enhanced Knowledge Distillation in Small Models for Scientific QA,

Reference 59

Resolution: verified exact; raw_fallback, observed 2026-08-16T11:14:34.469818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e8d94af-f530-4c5b-9e07-3c4d058a8757 · outbound

This paper cites Learning the Difference that Makes a Difference with Counterfactually-Augmented Data.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Learning the Difference that Makes a Difference with Counterfactually-Augmented Data

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.643474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ebb9732-bf28-439a-a787-f4e1514b22ba · outbound

This paper cites Measuring Association Between Labels and Free-Text Rationales,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Measuring Association Between Labels and Free-Text Rationales,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.282778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 225e2463-0cf3-436e-beba-c3269bd93350 · outbound

This paper cites Self-consistency improves chain of thought reasoning in language models,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Self-consistency improves chain of thought reasoning in language models,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.636237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac008d29-186c-4110-8306-28d05d17f829 · outbound

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

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.660941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c144fd8-b7ff-4474-895d-920041793ea7 · outbound

This paper cites RLCD: Reinforcement learning from contrastive distillation for LM alignment,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability RLCD: Reinforcement learning from contrastive distillation for LM alignment,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.240089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 00338ae6-a98f-43e8-b63b-8e589f616ace · outbound

This paper cites CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.262504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9cca6e39-e9fc-45cb-94d1-cd1e82167214 · outbound

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

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Transformers: State- of-the-art natural language processing,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.687221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c803238b-ad20-4141-b4cb-60ecf4a4824a · outbound

This paper cites Generating visual explanations,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Generating visual explanations,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.164806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a63a36d2-7f36-4705-b61a-13668f557077 · outbound

This paper cites Available: https://openreview.net/forum?id=v3XXtxWK i6.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Available: https://openreview.net/forum?id=v3XXtxWK i6

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.220722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e399f061-52f8-41d4-8839-b75f29a21de7 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.201963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 25b23c66-30be-43f4-888b-61102579c7a2 · outbound

This paper cites Exploring Evaluation Methods for Interpretable Machine Learning: A Survey,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Exploring Evaluation Methods for Interpretable Machine Learning: A Survey,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.095461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 38a404bc-869c-48f6-97b9-0020d1087550 · outbound

This paper cites Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.069454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dc10041a-86fe-41c6-8535-0ecd00ef424d · outbound

This paper cites Prolific · Quickly find research participants you can trust.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Prolific · Quickly find research participants you can trust

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.141145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 600d2bdd-8c55-4ce4-bfab-a46d63be6a6b · outbound

This paper cites Oxford Learner’s Dictionaries | Find definitions, trans- lations, and grammar explanations at Oxford Learner’s Dictionaries,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Oxford Learner’s Dictionaries | Find definitions, trans- lations, and grammar explanations at Oxford Learner’s Dictionaries,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.019173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d6068cb-7b34-457d-83f5-2b7b3bcd0778 · outbound

This paper cites Interpretation Quality Score for Measuring the Quality of interpretability methods.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Interpretation Quality Score for Measuring the Quality of interpretability methods

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:14:34.164010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3fdea23a-9f9d-4a19-8025-a874fedfd1df · outbound

This paper cites Machine Learning Interpretability: A Survey on Methods and Metrics,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Machine Learning Interpretability: A Survey on Methods and Metrics,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:35.884649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0805957b-667f-482a-9030-00eefd64f05d · outbound

This paper cites Leakage-adjusted simulatability: Can models generate non-trivial explanations of their behavior in natural language?.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Leakage-adjusted simulatability: Can models generate non-trivial explanations of their behavior in natural language?

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:35.827792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9f91952a-3cca-4886-b4d8-db24f7fb62e7 · outbound

This paper cites REV: Information-theoretic evaluation of free-text rationales,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability REV: Information-theoretic evaluation of free-text rationales,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.046740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d339e3a7-ec55-4a88-ad0a-73714273e4a9 · outbound

This paper cites A collection of principles for guiding and evaluating large language models.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability A collection of principles for guiding and evaluating large language models

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:14:33.976100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 323866e7-6e58-48dd-97be-eb133c228396 · outbound

This paper cites Available: https://www.oxfordlearnersdictionaries.com/.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Available: https://www.oxfordlearnersdictionaries.com/

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:35.974511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ebabbc5-7f53-4593-b2dd-b92b6aead322 · outbound

This paper cites Measures for explainable AI: Explanation goodness, user satisfaction, mental models, curiosity, trust, and human-AI performance,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Measures for explainable AI: Explanation goodness, user satisfaction, mental models, curiosity, trust, and human-AI performance,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.748684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d4e0bf6-5dc3-487e-a5b4-8c3402e7de39 · outbound

This paper cites Exploratory Data Analysis,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Exploratory Data Analysis,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.795484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3887b22d-771c-477c-8fa3-19ed49b8bfd4 · outbound

This paper cites Likert scales, levels of measurement and the “laws.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Likert scales, levels of measurement and the “laws

Reference 82

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T11:14:35.726383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation abc4232b-48fb-4a5f-a94a-b64a6411855a · outbound

This paper cites Measuring the Quality of Explanations: The System Causability Scale (SCS): Comparing Human and Machine Explanations,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Measuring the Quality of Explanations: The System Causability Scale (SCS): Comparing Human and Machine Explanations,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.767813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8523882-fc5c-4cef-b152-c000da61d6f0 · outbound

This paper cites A Critique and Improvement of the.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability A Critique and Improvement of the

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:35.701353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c757055-83d5-4cc2-95ec-1101625928ac · outbound

This paper cites an unresolved cited work.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:14:35.796676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf7422d9-6280-4b3d-bac9-58cef8b52da9 · outbound

This paper cites Bhattacherjee, Social Science Research: Principles, Methods and Practices.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Bhattacherjee, Social Science Research: Principles, Methods and Practices

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:35.760885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a9d35239-64ad-4710-94e2-32d6b5fc3f7c · outbound

This paper cites Nonparametric Pairwise Multiple Comparisons in Independent Groups using Dunn’s Test,.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Nonparametric Pairwise Multiple Comparisons in Independent Groups using Dunn’s Test,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.809214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e509fde-6c7c-4448-9ebc-7f118718c2d1 · outbound

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

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability LoRA: Low-Rank Adaptation of Large Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:33.547063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bdaa55b-5841-4e5e-8125-86452fe0a676 · outbound

This paper cites Available: https://www.prolific.com/.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Available: https://www.prolific.com/

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.121111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 07ded7da-bf85-45ac-bbfc-2168717e6cdf · outbound

This paper cites Available: https://aclanthology.org/2024.tacl-1.85/.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Available: https://aclanthology.org/2024.tacl-1.85/

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:14:36.719529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers