DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures | Paper Citation Record

Observation 6b4cf2b3-7987-4350-9dd4-5e56a55af4a3 · outbound

This paper cites citeulike-article-id =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures citeulike-article-id =

Reference 1

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Observation 2b460e7d-f5f4-4c96-9c3a-36c0c9b75c0d · outbound

This paper cites Continual Learning of Large Language Models: A Comprehensive Survey , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Continual Learning of Large Language Models: A Comprehensive Survey , url =

Reference 2

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Observation cd4ce520-7243-4ab5-9b18-d7c4f18265c7 · outbound

This paper cites doi: 10.1073/pnas.1611835114.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures doi: 10.1073/pnas.1611835114

Reference 3

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Observation 90978649-bdf9-41a6-938d-d03f7760ccc9 · outbound

This paper cites Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance , year =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance , year =

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.356636Z

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Observation aefc0c24-c390-44ff-9f38-ac9f2fa14ab3 · outbound

This paper cites Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods , year =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods , year =

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.368983Z

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Observation 859b3be0-b56c-485a-b54a-749652f3634c · outbound

This paper cites Chen and Suchin Gururangan and Mitchell Wortsman and Alon Albalak and Yonatan Bitton and Marianna Nezhurina and Amro Abbas and Cheng.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Chen and Suchin Gururangan and Mitchell Wortsman and Alon Albalak and Yonatan Bitton and Marianna Nezhurina and Amro Abbas and Cheng

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.281872Z

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Observation 189bc2c6-3689-4543-a38c-ac71245dc48c · outbound

This paper cites Understanding Catastrophic Forgetting in Language Models via Implicit Inference , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Understanding Catastrophic Forgetting in Language Models via Implicit Inference , url =

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.182183Z

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Observation 2b8a0010-a7f9-4b30-8512-6d4ac2913f6b · outbound

This paper cites Yang and Bin Wu and Laurence Aitchison and Emine Yilmaz and Aldo Lipani , booktitle =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Yang and Bin Wu and Laurence Aitchison and Emine Yilmaz and Aldo Lipani , booktitle =

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.289960Z

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Observation 36cda691-dfc3-425b-b02b-3a19f2cacc65 · outbound

This paper cites Cross-Stitch Networks for Multi-task Learning , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Cross-Stitch Networks for Multi-task Learning , url =

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.303912Z

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Observation 0daa44af-66f5-403b-b029-7a48b33ea0c8 · outbound

This paper cites Latent Multi-Task Architecture Learning , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Latent Multi-Task Architecture Learning , url =

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.287217Z

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Observation 5c0a4a39-2756-4d88-9fc0-70870f15d31a · outbound

This paper cites Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection , url =

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.262539Z

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Observation 5957f9c2-27cc-4360-9f23-c9ef4243ea9b · outbound

This paper cites Gradient Surgery for Multi-Task Learning , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Gradient Surgery for Multi-Task Learning , url =

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.206147Z

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Observation e82d199d-d3d3-4d07-ac9e-aba2c8f18459 · outbound

This paper cites Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics , url =

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.199326Z

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Observation b91e739e-7aa4-4362-bbd5-0be7c62baef3 · outbound

This paper cites GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks , url =

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.335827Z

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Observation 3bb6db7e-d18c-42aa-96a3-356dd1628b5c · outbound

This paper cites Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models , url =

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.342407Z

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Observation 137d925e-303b-402d-9726-85738b0a6bf7 · outbound

This paper cites Balancing Training for Multilingual Neural Machine Translation , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Balancing Training for Multilingual Neural Machine Translation , url =

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.233266Z

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Observation 57f73ef0-4293-428f-8a90-edc796528eb6 · outbound

This paper cites Multi-Task Transfer Matters During Instruction-Tuning , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Multi-Task Transfer Matters During Instruction-Tuning , url =

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.301407Z

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Observation d52ae500-e1fd-4db6-8979-cc22f995630d · outbound

This paper cites Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples , url =

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.329619Z

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Observation 57bb3a3c-079f-4929-8435-ec6456c19b38 · outbound

This paper cites How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition , url =

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.278461Z

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Observation e83857db-1708-4b8c-80a7-b904e038f203 · outbound

This paper cites Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models , url =

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.313213Z

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Observation 5a78f988-844f-4f3c-a9a7-6c2e6b7e6efe · outbound

This paper cites Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics , url =

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.249728Z

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Observation 568f5947-83e6-4ed3-b621-80cf5882e533 · outbound

This paper cites Bell and Neil D.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Bell and Neil D

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.360260Z

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Observation c52ca1da-abde-4233-a6c3-fbe2aa9efd47 · outbound

This paper cites Le and Tengyu Ma and Adams Wei Yu , booktitle =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Le and Tengyu Ma and Adams Wei Yu , booktitle =

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.345795Z

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Observation d9cd8d09-6636-422b-b18b-776cc13af676 · outbound

This paper cites an unresolved cited work.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Unresolved cited work

Reference 24

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Observation 411be1a6-9f5a-4b4f-b249-f48e69734016 · outbound

This paper cites Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning , url =

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.236971Z

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Observation 4c3e44a9-c5dd-4142-bfdd-b756c8a17b06 · outbound

This paper cites Kwok and Zhenguo Li and Adrian Weller and Weiyang Liu , booktitle =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Kwok and Zhenguo Li and Adrian Weller and Weiyang Liu , booktitle =

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.306979Z

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Observation 4532adfe-2f54-49b1-a5a9-833f1485d8da · outbound

This paper cites MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning , url =

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.256143Z

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Observation 78b1e253-752c-49fc-92db-c5bd9e2ee82a · outbound

This paper cites HuggingFace repository , title =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures HuggingFace repository , title =

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.202803Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b229559b-ac24-4532-b429-aa2733da97e4 · outbound

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

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale , url =

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.268983Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4d7ebfa3-f0e7-49d9-ad31-498a73b603d6 · outbound

This paper cites an unresolved cited work.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Unresolved cited work

Reference 30

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1302918b-a1ab-4a72-8db5-19a30a6cd076 · outbound

This paper cites GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining , year =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining , year =

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.310228Z

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Observation 8db27d5d-5a9d-4c03-bc7d-0332d1fa8b80 · outbound

This paper cites Versatune: An efficient data composition framework for training multi-capability llms , year =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Versatune: An efficient data composition framework for training multi-capability llms , year =

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.168850Z

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Observation 6cd84087-b629-4afa-8c33-b9851d2c78ae · outbound

This paper cites an unresolved cited work.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Unresolved cited work

Reference 33

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Observation cb2f933f-f42b-417d-b75d-deed7cd45f20 · outbound

This paper cites an unresolved cited work.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Unresolved cited work

Reference 34

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f119bbea-6a29-4647-8692-48604cc10617 · outbound

This paper cites DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections , url =

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.246650Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a03b3c92-9cb0-46d2-a700-7ac178c86c8e · outbound

This paper cites Xing , booktitle =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Xing , booktitle =

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.185301Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea12b5cd-dba0-4ec1-9930-b657127dec90 · outbound

This paper cites ArXiv preprint , title =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures ArXiv preprint , title =

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.265511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 134463b0-7a9b-4d64-a41b-1b084fb05a77 · outbound

This paper cites Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models , url =

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.216448Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9527403c-d48e-42fc-bac3-d848d2d2fb8d · outbound

This paper cites Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods , url =

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.315918Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d9c43f1-31b0-42e2-b425-aef0eefd27d5 · outbound

This paper cites Training Verifiers to Solve Math Word Problems , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Training Verifiers to Solve Math Word Problems , url =

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.242889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4af8d705-cc5a-40e5-b84c-22d852fb1ffe · outbound

This paper cites Hugging Face repository , title =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Hugging Face repository , title =

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.229843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 545ece4e-20e5-45bf-a5e2-0d03d292041f · outbound

This paper cites OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement , url =

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.222761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cfabcf33-96cc-4fef-902f-acccc0d4aeec · outbound

This paper cites Merrill and Tatsunori Hashimoto and Yejin Choi and Jenia Jitsev and Reinhard Heckel and Maheswaran Sathiamoorthy and Alexandros G.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Merrill and Tatsunori Hashimoto and Yejin Choi and Jenia Jitsev and Reinhard Heckel and Maheswaran Sathiamoorthy and Alexandros G

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.275489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bbba8e8c-2b13-430c-ac2a-90fdd8f79079 · outbound

This paper cites Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:11:24.258431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b42cb9d5-8d45-47c2-8b2f-e10bb0fde688 · outbound

This paper cites an unresolved cited work.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-05-12T14:46:38.172139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 20bdb53c-b68f-4358-bd46-b11d66dfc405 · outbound

This paper cites RepLiQA.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures RepLiQA

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.292698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 418081e9-19fe-4f7e-8c6b-c366266c0075 · outbound

This paper cites an unresolved cited work.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-05-12T14:46:38.239748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b1b6a590-0fb0-4202-a7ed-565d541fc5c0 · outbound

This paper cites tinyBenchmarks: evaluating LLMs with fewer examples , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures tinyBenchmarks: evaluating LLMs with fewer examples , url =

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.225975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba5fff0b-6608-4d74-9c26-fd41b725ef57 · outbound

This paper cites an unresolved cited work.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-05-12T14:46:38.219341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1f97dc0b-87d7-42b7-8c74-0c91ba6e2125 · outbound

This paper cites an unresolved cited work.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-05-12T14:46:38.253034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e110e402-f374-40e5-909b-f84e2e1f6dbc · outbound

This paper cites an unresolved cited work.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-05-12T14:46:38.195817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f866cc2-dd4a-4ed3-9ce5-0d915f169351 · outbound

This paper cites an unresolved cited work.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-05-12T14:46:38.284516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df9337af-c55e-4d52-b5dd-a56d968c4b3c · outbound

This paper cites an unresolved cited work.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-05-12T14:46:38.192041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 673c74a4-538d-4805-a82a-a344cf504240 · outbound

This paper cites an unresolved cited work.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Unresolved cited work

Reference 54

Resolution: parse uncertain; raw_fallback, observed 2026-05-12T14:46:38.272038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8a30905f-2235-4499-8b2b-0d7db9d4fca4 · outbound

This paper cites an unresolved cited work.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-05-12T14:46:38.178812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f4a7467a-d0f4-4c09-ae26-540717f03bcd · outbound

This paper cites an unresolved cited work.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-05-12T14:46:38.332904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a40d41f-445b-422d-bc25-6becdd73ff76 · outbound

This paper cites an unresolved cited work.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Unresolved cited work

Reference 57

Resolution: parse uncertain; raw_fallback, observed 2026-05-12T14:46:38.339001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3155c176-ef00-4351-b652-bd07fe4238ab · outbound

This paper cites Dynamic Gradient Alignment for Online Data Mixing , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Dynamic Gradient Alignment for Online Data Mixing , url =

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.259329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eb462469-cb11-4235-b535-9147fe7d694d · outbound

This paper cites an unresolved cited work.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-05-12T14:46:38.325635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bcd6cb83-5090-41a0-8cfb-62566e94d5cc · outbound

This paper cites Hu and Yelong Shen and Phillip Wallis and Zeyuan Allen.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Hu and Yelong Shen and Phillip Wallis and Zeyuan Allen

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.295638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 72cb2c68-c48e-4e6c-9bfd-9e3f1e029a0e · outbound

This paper cites Yu and Jianfeng Gao , journal =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Yu and Jianfeng Gao , journal =

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.213284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8707d44-054e-4aae-bf6b-ba78d9b3335a · outbound

This paper cites Learning to Reweight Examples for Robust Deep Learning , url =.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Learning to Reweight Examples for Robust Deep Learning , url =

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.322121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d8c4b7c5-5c1c-4fe2-949f-de5acfa35270 · outbound

This paper cites journal=.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures journal=

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.175206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d15fcac9-de82-4d0b-a81a-5ba1cdf96832 · outbound

This paper cites Biometrika , volume=.

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Biometrika , volume=

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:46:38.353172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers