Controllably Efficient Language Models | Paper Citation Record

Observation f31ee432-0c57-4f01-b740-c4b3f637ab54 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

Controllably Efficient Language Models gpt-oss-120b & gpt-oss-20b Model Card

Reference 1

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Observation 84bbd185-97ea-424b-ba7f-cd7235fec54e · outbound

This paper cites Zoology: Measuring and Improving Recall in Efficient Language Models.

Controllably Efficient Language Models Zoology: Measuring and Improving Recall in Efficient Language Models

Reference 2

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Observation c3755546-f36b-4f49-a888-6856a99e84b3 · outbound

This paper cites Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes.

Controllably Efficient Language Models Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes

Reference 3

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Observation b6a5d79a-bbc0-4398-9c2e-0d29f0220b10 · outbound

This paper cites Simple linear attention language models balance the recall-throughput tradeoff.

Controllably Efficient Language Models Simple linear attention language models balance the recall-throughput tradeoff

Reference 4

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Observation 6e049d7e-d541-4901-a43f-5631b65a9810 · outbound

This paper cites Just read twice: closing the recall gap for recurrent language models.

Controllably Efficient Language Models Just read twice: closing the recall gap for recurrent language models

Reference 5

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Observation 0d7a5402-de5f-4207-b442-21a3b8508d60 · outbound

This paper cites How to scale your model.

Controllably Efficient Language Models How to scale your model

Reference 6

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Observation 73751852-6914-4cfa-88ea-b6650c79a247 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Controllably Efficient Language Models Neural Machine Translation by Jointly Learning to Align and Translate

Reference 7

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Observation d152bfad-8134-44c8-9b7a-f20422a98c28 · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

Controllably Efficient Language Models LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 8

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Observation 993f876d-5050-4296-8947-5fd8d7825eff · outbound

This paper cites Transformers need glasses! information over-squashing in language tasks.

Controllably Efficient Language Models Transformers need glasses! information over-squashing in language tasks

Reference 9

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Observation 2276db91-4b47-41f6-8b8b-0d0dd4484280 · outbound

This paper cites Large Concept Models: Language Modeling in a Sentence Representation Space.

Controllably Efficient Language Models Large Concept Models: Language Modeling in a Sentence Representation Space

Reference 10

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Observation 8ca648cb-47da-487f-b18f-5029b19abe03 · outbound

This paper cites Titans: Learning to Memorize at Test Time.

Controllably Efficient Language Models Titans: Learning to Memorize at Test Time

Reference 11

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Observation a642a052-83c7-4be8-a96a-fbfb33159988 · outbound

This paper cites Longformer: The Long-Document Transformer.

Controllably Efficient Language Models Longformer: The Long-Document Transformer

Reference 12

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Observation 110e89bc-a0a2-47e3-bcd4-03bda494dd5d · outbound

This paper cites Flexivit: One model for all patch sizes.

Controllably Efficient Language Models Flexivit: One model for all patch sizes

Reference 13

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Observation e4e77e54-04d4-4e2c-9459-fd07059fbf30 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

Controllably Efficient Language Models Piqa: Reasoning about physical commonsense in natural language

Reference 14

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Observation 96683785-752a-412a-993f-85bec3c24e50 · outbound

This paper cites Adapting language models to compress contexts.

Controllably Efficient Language Models Adapting language models to compress contexts

Reference 15

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Observation 4c865657-ed21-45ef-9bed-d0a716a929ef · outbound

This paper cites Overcoming a Theoretical Limitation of Self-Attention.

Controllably Efficient Language Models Overcoming a Theoretical Limitation of Self-Attention

Reference 16

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Observation 5df8a36e-2400-407b-9a9c-f2035357cf9e · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Controllably Efficient Language Models Generating Long Sequences with Sparse Transformers

Reference 17

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Observation 52d5c907-7a1f-4118-9de4-03bd4e0be61d · outbound

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

Controllably Efficient Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 18

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Observation 28f59c38-b09a-4d5e-946b-f7cbf66cb2a9 · outbound

This paper cites Funnel-transformer: Filtering out sequential redundancy for efficient language processing.

Controllably Efficient Language Models Funnel-transformer: Filtering out sequential redundancy for efficient language processing

Reference 19

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Observation 8a44282c-6d9b-40c0-bb9b-04968cb2d662 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Controllably Efficient Language Models Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 20

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Observation c7ec9ae0-c2de-465f-b26b-fa48d9f64456 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

Controllably Efficient Language Models Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 21

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Observation 3d3b6f76-9922-4c8b-8191-94d830645711 · outbound

This paper cites Matformer: Nested transformer for elastic inference.

Controllably Efficient Language Models Matformer: Nested transformer for elastic inference

Reference 22

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Observation 563bfbff-9d26-4e4d-bcfc-01b4def9fef9 · outbound

This paper cites Flex Attention: A Programming Model for Generating Optimized Attention Kernels.

Controllably Efficient Language Models Flex Attention: A Programming Model for Generating Optimized Attention Kernels

Reference 23

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Observation 2c36dbf2-848c-4c5f-9355-ebe795c7abd3 · outbound

This paper cites DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.

Controllably Efficient Language Models DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Reference 24

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Observation 459b76c8-ac26-4782-8cc5-a6066ff01919 · outbound

This paper cites Hungry Hungry Hippos: Towards Language Modeling with State Space Models.

Controllably Efficient Language Models Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Reference 25

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Observation 596865b9-53a5-47c0-afad-0e1bb137fd30 · outbound

This paper cites Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.

Controllably Efficient Language Models Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Reference 26

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Observation 4f67ff52-2dfa-4347-bcf6-4eebe876007b · outbound

This paper cites Ai and memory wall.

Controllably Efficient Language Models Ai and memory wall

Reference 27

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Observation c28ea875-8e7c-43e7-ac6a-c860e6cbb4b9 · outbound

This paper cites Multi-Token Attention.

Controllably Efficient Language Models Multi-Token Attention

Reference 28

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Observation dd420224-1cd1-4fab-b3ea-3054f9e4d8cf · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Controllably Efficient Language Models Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 29

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Observation 42e700d9-5079-4f05-8136-aee825a7039d · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Controllably Efficient Language Models Efficiently Modeling Long Sequences with Structured State Spaces

Reference 30

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Observation 1bebe3b0-619b-43f7-afb6-29ba8e79e53b · outbound

This paper cites Transformer in transformer.

Controllably Efficient Language Models Transformer in transformer

Reference 31

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Observation 7c548c31-0ca0-4a5e-ac79-487c786081a7 · outbound

This paper cites Block transformer: Global-to-local language modeling for fast inference.

Controllably Efficient Language Models Block transformer: Global-to-local language modeling for fast inference

Reference 32

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Observation 81e42c13-d365-4e0d-af5b-68def8d0eac3 · outbound

This paper cites functorch: Jax-like composable function transforms for pytorch.

Controllably Efficient Language Models functorch: Jax-like composable function transforms for pytorch

Reference 33

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Observation 4fdf4524-0a13-45db-94ad-9cd088e66d7b · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

Controllably Efficient Language Models RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 34

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Observation 5e9d73fa-dc57-4337-abf8-ef5c8045dbe2 · outbound

This paper cites Dynamic Chunking for End-to-End Hierarchical Sequence Modeling.

Controllably Efficient Language Models Dynamic Chunking for End-to-End Hierarchical Sequence Modeling

Reference 35

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Observation 8103b078-7df7-4329-8404-fb9a9755987a · outbound

This paper cites Repeat After Me: Transformers are Better than State Space Models at Copying.

Controllably Efficient Language Models Repeat After Me: Transformers are Better than State Space Models at Copying

Reference 36

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Observation af4c7222-d26c-4ab5-a758-e926e265ecd7 · outbound

This paper cites Mistral 7B.

Controllably Efficient Language Models Mistral 7B

Reference 37

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Observation 1fecb2ce-a985-41f8-841f-e30c937b7451 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Controllably Efficient Language Models TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 38

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Observation 52f09885-9892-499e-9b8a-8781767292af · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

Controllably Efficient Language Models Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 39

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Observation d6f56781-7e16-40b6-8dc6-0feb16c7262c · outbound

This paper cites Babilong: Testing the limits of llms with long context reasoning-in-a-haystack, 2024.

Controllably Efficient Language Models Babilong: Testing the limits of llms with long context reasoning-in-a-haystack, 2024

Reference 40

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Observation 1f175543-bfcd-481e-89cf-42e0491e105a · outbound

This paper cites Matryoshka representation learning.

Controllably Efficient Language Models Matryoshka representation learning

Reference 41

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Observation f5fccd5f-e1b4-4801-9feb-36533a92919e · outbound

This paper cites Inference-time hyper-scaling with kv cache compression.

Controllably Efficient Language Models Inference-time hyper-scaling with kv cache compression

Reference 42

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Observation 38fe05fb-1178-4439-8c23-8595ac381ef6 · outbound

This paper cites A Training-free Sub-quadratic Cost Transformer Model Serving Framework With Hierarchically Pruned Attention.

Controllably Efficient Language Models A Training-free Sub-quadratic Cost Transformer Model Serving Framework With Hierarchically Pruned Attention

Reference 43

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Observation be78e69b-d60a-44a1-b951-354d1b35ac41 · outbound

This paper cites InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU.

Controllably Efficient Language Models InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU

Reference 44

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Observation b4737703-15f4-474d-aad4-7df565ad98be · outbound

This paper cites Snapkv: Llm knows what you are looking for before generation.

Controllably Efficient Language Models Snapkv: Llm knows what you are looking for before generation

Reference 45

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Observation 5c41e4df-f6d0-4eb8-b56e-a50412000701 · outbound

This paper cites Openceres: When open information extraction meets the semi-structured web.

Controllably Efficient Language Models Openceres: When open information extraction meets the semi-structured web

Reference 46

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Observation 40a3483b-0d90-4f0b-aff9-ce0ed6750d7f · outbound

This paper cites Decoupled Weight Decay Regularization.

Controllably Efficient Language Models Decoupled Weight Decay Regularization

Reference 47

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Observation f0433471-6744-4cde-8e03-160a390f6dfa · outbound

This paper cites BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining.

Controllably Efficient Language Models BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining

Reference 48

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Observation 76bcc4f8-8028-46d7-94ba-93e5722eede8 · outbound

This paper cites Pointer Sentinel Mixture Models.

Controllably Efficient Language Models Pointer Sentinel Mixture Models

Reference 49

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Observation efee2872-8e7c-48b7-a3d9-2e04f4343eb6 · outbound

This paper cites Online normalizer calculation for softmax.

Controllably Efficient Language Models Online normalizer calculation for softmax

Reference 50

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Observation 8a0768db-e298-4849-bca3-9133dbcbff82 · outbound

This paper cites OLMoE: Open Mixture-of-Experts Language Models.

Controllably Efficient Language Models OLMoE: Open Mixture-of-Experts Language Models

Reference 51

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Observation 0eb3e795-1ba5-45fe-bed3-4fff3bc1ada8 · outbound

This paper cites Hierarchical Transformers Are More Efficient Language Models.

Controllably Efficient Language Models Hierarchical Transformers Are More Efficient Language Models

Reference 52

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Observation 4819815b-cf87-4e23-ac21-f99d3131a3e3 · outbound

This paper cites Efficient Transformers with Dynamic Token Pooling.

Controllably Efficient Language Models Efficient Transformers with Dynamic Token Pooling

Reference 53

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Observation b6763228-711e-4bcd-8240-3fc1b58fd1d5 · outbound

This paper cites Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference.

Controllably Efficient Language Models Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference

Reference 54

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Observation 47d5ac34-31c3-46d8-aad6-586dfe9b5dea · outbound

This paper cites The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs.

Controllably Efficient Language Models The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs

Reference 55

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Observation feceae77-34d1-45af-8e80-c03eabab59b4 · outbound

This paper cites Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models.

Controllably Efficient Language Models Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models

Reference 56

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Observation 73da1e76-a640-4cee-9104-fe5a029dab56 · outbound

This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.

Controllably Efficient Language Models The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 57

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Observation 0c02a50b-e20a-4b05-bfdb-e6b92c29115d · outbound

This paper cites Hierarchical transformers for long document classification.

Controllably Efficient Language Models Hierarchical transformers for long document classification

Reference 58

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Observation 86e1cb58-a968-4965-b88e-9374c0b2110a · outbound

This paper cites Image transformer.

Controllably Efficient Language Models Image transformer

Reference 59

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Observation 10255ec1-712d-4dd7-8133-72da4f8dce19 · outbound

This paper cites The fineweb datasets: Decanting the web for the finest text data at scale.

Controllably Efficient Language Models The fineweb datasets: Decanting the web for the finest text data at scale

Reference 60

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Observation bb3bf95e-dfd0-4a3e-9f33-0ab58208b486 · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

Controllably Efficient Language Models RWKV: Reinventing RNNs for the Transformer Era

Reference 61

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Observation 8221b64f-0408-4959-90f2-7191a66bc340 · outbound

This paper cites Hyena hierarchy: Towards larger convolutional language models.

Controllably Efficient Language Models Hyena hierarchy: Towards larger convolutional language models

Reference 62

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Observation 47e1585d-1060-4773-af56-61e5cd5886f7 · outbound

This paper cites Qwen3-next: Towards ultimate training & inference efficiency, 2025.

Controllably Efficient Language Models Qwen3-next: Towards ultimate training & inference efficiency, 2025

Reference 63

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Observation e2273f60-b621-4d92-b865-eaaa36e7f3d3 · outbound

This paper cites Rae, Anna Potapenko, Siddhant M.

Controllably Efficient Language Models Rae, Anna Potapenko, Siddhant M

Reference 64

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Observation 234d56c0-f7ff-4d5f-ba8e-d3301656faab · outbound

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

Controllably Efficient Language Models Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:00.537110Z

Source-reported events for the cited work

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Observation 11fa7bf4-aa49-41ce-8d0a-f56ba3fe0caa · outbound

This paper cites Know What You Don't Know: Unanswerable Questions for SQuAD.

Controllably Efficient Language Models Know What You Don't Know: Unanswerable Questions for SQuAD

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:00.637989Z

Source-reported events for the cited work

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Observation 6f30815b-300c-4c39-8b6d-3ad0958f855e · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.

Controllably Efficient Language Models Winogrande: An adversarial winograd schema challenge at scale

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:00.714474Z

Source-reported events for the cited work

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Observation f5dd56e3-022e-4f4d-bd56-fcb3fc0462cb · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

Controllably Efficient Language Models Fast Transformer Decoding: One Write-Head is All You Need

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:00.847597Z

Source-reported events for the cited work

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Observation 34ea441a-a600-4372-8f3f-69fec8920cae · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Controllably Efficient Language Models Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:00.954690Z

Source-reported events for the cited work

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Observation e5e016b5-ff1a-47ff-801f-87f1ce3c3045 · outbound

This paper cites Spacebyte: Towards deleting tokenization from large language modeling.

Controllably Efficient Language Models Spacebyte: Towards deleting tokenization from large language modeling

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:01.058268Z

Source-reported events for the cited work

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Observation cf322614-469e-447d-826a-2ea1b609e2e5 · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

Controllably Efficient Language Models Retentive Network: A Successor to Transformer for Large Language Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:01.136033Z

Source-reported events for the cited work

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Observation 2f78c862-f3a3-48f8-8b14-791d1edf10ee · outbound

This paper cites Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference.

Controllably Efficient Language Models Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:01.311105Z

Source-reported events for the cited work

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Observation 6f0f53df-7c87-4a38-b167-3698409b3afa · outbound

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

Controllably Efficient Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:01.405536Z

Source-reported events for the cited work

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Observation 95725d55-15aa-43a7-992c-9d7f3df25158 · outbound

This paper cites Attention is all you need.

Controllably Efficient Language Models Attention is all you need

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:01.628861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4f79500-c358-4059-bb5f-98b746648751 · outbound

This paper cites An Empirical Study of Mamba-based Language Models.

Controllably Efficient Language Models An Empirical Study of Mamba-based Language Models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:01.701947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 701d657e-5446-47c6-8977-09b3b9e41f66 · outbound

This paper cites A Systematic Analysis of Hybrid Linear Attention.

Controllably Efficient Language Models A Systematic Analysis of Hybrid Linear Attention

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:01.832889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8d687bc-a3ce-47d4-ad52-4884142b9fc0 · outbound

This paper cites RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval.

Controllably Efficient Language Models RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:01.985027Z

Source-reported events for the cited work

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Observation a566006c-e113-46b9-8acb-eb055fbf78d1 · outbound

This paper cites Qwen3 Technical Report.

Controllably Efficient Language Models Qwen3 Technical Report

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:02.066497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fca704d-1836-4dbd-a532-7dfdb71489d4 · outbound

This paper cites Gated delta networks: Improving mamba2 with delta rule.

Controllably Efficient Language Models Gated delta networks: Improving mamba2 with delta rule

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:02.202813Z

Source-reported events for the cited work

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Observation 4fe82a1b-2d77-4d51-90d9-a34c60dfdacd · outbound

This paper cites Long-context language modeling with parallel context encoding.

Controllably Efficient Language Models Long-context language modeling with parallel context encoding

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:02.335542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa9a0b41-f33c-4c96-b949-0730b1adcf4d · outbound

This paper cites Megabyte: Predicting million-byte sequences with multiscale transformers.

Controllably Efficient Language Models Megabyte: Predicting million-byte sequences with multiscale transformers

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:02.500224Z

Source-reported events for the cited work

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Observation 6ad72cb6-fabc-4662-910c-855e4f3259d5 · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

Controllably Efficient Language Models Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:02.651609Z

Source-reported events for the cited work

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Observation d868f5dc-9d09-41bb-8828-910976dee525 · outbound

This paper cites Big bird: Transformers for longer sequences.

Controllably Efficient Language Models Big bird: Transformers for longer sequences

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:02.781218Z

Source-reported events for the cited work

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Observation 31f4c21a-6f7e-402e-8f27-c7649ca3f272 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Controllably Efficient Language Models HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:02.975875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5772a9c-62cc-4f72-a18a-c57d24330541 · outbound

This paper cites Preference learning made easy: Everything should be understood through win rate.

Controllably Efficient Language Models Preference learning made easy: Everything should be understood through win rate

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:03.105381Z

Source-reported events for the cited work

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Observation f831c6f1-5bb5-4093-9c27-55c64da39b18 · outbound

This paper cites write newline.

Controllably Efficient Language Models write newline

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:03.290389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18133eed-25a0-4780-94cc-1e1e61e08850 · outbound

This paper cites @esa (Ref.

Controllably Efficient Language Models @esa (Ref

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:03.396939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27f6c759-d020-4966-99be-262a53674c00 · outbound

This paper cites an unresolved cited work.

Controllably Efficient Language Models Unresolved cited work

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-03T23:34:03.499389Z

Source-reported events for the cited work

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Observation 56c04b40-c098-48b7-9951-b87380d5e5a8 · outbound

This paper cites global” chunk embedding. An embedder first compresses each chunk independently, then these “local.

Controllably Efficient Language Models global” chunk embedding. An embedder first compresses each chunk independently, then these “local

Reference 89

Resolution: malformed identifier; no resolver link, observed 2026-08-03T23:34:03.638787Z

Source-reported events for the cited work

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Pith citing papers