SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD | Paper Citation Record

Observation 6eefd2aa-ae09-4e8f-8c9a-17bfcd45177f · outbound

This paper cites YouTube-8M: A Large-Scale Video Classification Benchmark.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD YouTube-8M: A Large-Scale Video Classification Benchmark

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This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , year =.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Findings of the Association for Computational Linguistics: ACL 2025 , year =

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD arXiv preprint arXiv:2602.09003 , year =

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Unresolved cited work

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Unresolved cited work

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Le and Geoffrey E

Reference 9

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This paper cites 9th International Conference on Learning Representations, ICLR 2021 , publisher =.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD 9th International Conference on Learning Representations, ICLR 2021 , publisher =

Reference 10

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This paper cites Journal of Machine Learning Research , volume =.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Journal of Machine Learning Research , volume =

Reference 11

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This paper cites Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2020 , pages =.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2020 , pages =

Reference 13

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This paper cites DeepSeek-V3 Technical Report.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD DeepSeek-V3 Technical Report

Reference 14

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This paper cites Operations Research , volume =.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Operations Research , volume =

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This paper cites Thirty-Ninth AAAI Conference on Artificial Intelligence, AAAI 2025 , pages =.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Thirty-Ninth AAAI Conference on Artificial Intelligence, AAAI 2025 , pages =

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Proceedings of the NeurIPS 2022 Competitions Track , pages =

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD CoRR , volume =

Reference 18

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD 2606.19348 , archivePrefix=

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Observation 9a5d2e95-95a4-4c9d-85f2-00f7c5b57e3f · outbound

This paper cites Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence , articleno =.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence , articleno =

Reference 20

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This paper cites CoRR , volume =.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD CoRR , volume =

Reference 21

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This paper cites French , title =.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD French , title =

Reference 22

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Observation 0b9fc82f-75c8-4a3a-ad94-bc6bd2bf6f85 · outbound

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Don't Stop Pretraining: Adapt Language Models to Domains and Tasks , booktitle =

Reference 23

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Observation 99f93e6a-c6c4-410d-9d37-7a1d6681e838 · outbound

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models

Reference 24

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =

Reference 25

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This paper cites A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD International Conference on Learning Representations , volume=

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Proceedings of the 42nd International Conference on Machine Learning , series =

Reference 28

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Models Can Model, But Can't Bind: Structured Grounding in Text-to-Optimization

Reference 29

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization

Reference 30

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Proceedings of the 41st International Conference on Machine Learning , series =

Reference 31

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD 2025 , howpublished =

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD 2026 , note =

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Liger Kernel: Efficient Triton Kernels for LLM Training

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD FullStack Bench: Evaluating LLMs as Full Stack Coders

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD AscendKernelGen: A Systematic Study of LLM-Based Kernel Generation for Neural Processing Units

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence , pages =

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD CoRR , volume =

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Assured autonomy: How operations research powers and orchestrates generative AI systems

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

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This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:41.553486Z

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Observation e20b470a-1b56-46e8-be0d-e40b7a3a415f · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:41.659929Z

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Observation a3ca89dd-67e0-4436-8f0c-67f71f67dd6e · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2025 , pages=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Findings of the Association for Computational Linguistics: EMNLP 2025 , pages=

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:41.763344Z

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Observation dc1d0779-6de3-4648-a384-1f85d88e5cc3 · outbound

This paper cites Self-Verified Distillation: Your Language Model Is Secretly Its Own Synthetic Data Pipeline.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Self-Verified Distillation: Your Language Model Is Secretly Its Own Synthetic Data Pipeline

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:41.859432Z

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Observation abdf7e4e-c888-4ede-8e7c-d2db27fb109c · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2025 , pages=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Findings of the Association for Computational Linguistics: EMNLP 2025 , pages=

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:41.973882Z

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Observation 081183ca-e9d8-4ee0-ab2c-bb958653f164 · outbound

This paper cites Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:42.084760Z

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Observation 9fa4c218-5ace-4029-a7dc-c89356643ed4 · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:42.216041Z

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Observation ef98c0ad-fcd7-4e87-932d-1480ab1027d9 · outbound

This paper cites Demystifying Long Chain-of-Thought Reasoning in LLMs.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Demystifying Long Chain-of-Thought Reasoning in LLMs

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:42.355955Z

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Observation 2e37fe7c-c8a6-4ea2-a4b5-d614faa5b3c6 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2024 , pages=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Findings of the Association for Computational Linguistics: ACL 2024 , pages=

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:42.469044Z

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Observation f440cc73-8ee8-4458-8d52-2f187547da0a · outbound

This paper cites arXiv preprint arXiv:2510.10071 , year=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD arXiv preprint arXiv:2510.10071 , year=

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:42.566298Z

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Observation fc374ee4-8db5-4941-94ef-28f47914c581 · outbound

This paper cites Investigating Continual Pretraining in Large Language Models: Insights and Implications.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:42.659428Z

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Observation 215f0dd9-9288-46a3-b800-061f4952be67 · outbound

This paper cites From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:42.797506Z

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Observation b49d8a0b-7902-4577-b39e-fea2e11d5355 · outbound

This paper cites Lane , booktitle=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Lane , booktitle=

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:42.937048Z

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Observation 49fd6153-1497-439b-b2a4-022511519601 · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Forty-second International Conference on Machine Learning , year=

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:43.068810Z

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Observation 2a7033c5-e85e-4fc8-b70d-0421cbb52b88 · outbound

This paper cites Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations) , pages=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations) , pages=

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:43.124903Z

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Observation ef5071dd-bc34-4973-b261-7779dca9f623 · outbound

This paper cites ICML 2025 Workshop on Computer Use Agents , year=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD ICML 2025 Workshop on Computer Use Agents , year=

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:43.194774Z

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Observation 831bc3c3-c25d-43c1-9916-595f77b77de7 · outbound

This paper cites an unresolved cited work.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:43.255095Z

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Observation a39531f3-d382-473b-9d7e-9436a9160120 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Advances in Neural Information Processing Systems , volume=

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:43.332072Z

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Observation be1ca4bd-3208-4026-be9f-395e38733f56 · outbound

This paper cites Xing and Sham M.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Xing and Sham M

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:43.476271Z

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Observation 5eb6b9ee-2964-4e3d-bf0b-36dbd861058a · outbound

This paper cites Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:43.601381Z

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Observation c9bc9770-30b3-4df5-83ce-cfc5e46e8b78 · outbound

This paper cites 2025 , eprint=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD 2025 , eprint=

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:43.715467Z

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Observation c4a85417-e82e-485d-8cbe-500e90f32ffa · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD GLM-5: from Vibe Coding to Agentic Engineering

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:43.806846Z

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Observation eee5d0c8-66c9-4e4e-8fe6-68b2f258f44f · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:43.937634Z

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Observation ede0abb8-06ae-41fe-9950-9982a24e22f9 · outbound

This paper cites Domain Adaptation of Llama3-70B-Instruct through Continual Pre-Training and Model Merging: A Comprehensive Evaluation.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Domain Adaptation of Llama3-70B-Instruct through Continual Pre-Training and Model Merging: A Comprehensive Evaluation

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:44.093552Z

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Observation 12b2fd59-b2b6-41a1-bd79-30176f71cf93 · outbound

This paper cites International Conference on Learning Representations , year=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD International Conference on Learning Representations , year=

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:44.133315Z

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Observation 526d2e1e-e3f0-4863-b979-54a6f212851b · outbound

This paper cites Multitask Prompted Training Enables Zero-Shot Task Generalization.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:44.204080Z

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Observation 35fdd07e-9b13-431a-8797-12a7a3ed843e · outbound

This paper cites Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:44.262269Z

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Observation c630c723-5371-471b-8def-cabeead4b7a2 · outbound

This paper cites 2024 , month =.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD 2024 , month =

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:44.321204Z

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Observation 674980c7-15b6-4354-9227-b7b401164277 · outbound

This paper cites 2021 , eprint=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD 2021 , eprint=

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:44.348961Z

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Observation 9733e3d0-9b34-44c7-9442-a90667f5f927 · outbound

This paper cites 2024 , journal =.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD 2024 , journal =

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:44.479396Z

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Observation 9b1d7e50-d6ea-42da-a779-d3d2020757fd · outbound

This paper cites Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:44.601346Z

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Observation ba80b6e8-93d5-4d1c-9416-0a83bc9468e8 · outbound

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

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:44.841286Z

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Observation 2243f076-7255-4a67-b447-f5bd22ef75cf · outbound

This paper cites Proximal Policy Optimization Algorithms.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Proximal Policy Optimization Algorithms

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:45.054508Z

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Observation f3356456-8aeb-45cc-9ad7-ebb5c79df6df · outbound

This paper cites Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:45.279835Z

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Observation eab94ea7-2f03-4a6d-9aad-5f69086fd2cb · outbound

This paper cites an unresolved cited work.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Unresolved cited work

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:45.439960Z

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Observation f6633865-6df6-43b4-933d-93d8433465ff · outbound

This paper cites Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:45.592909Z

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Observation 81003c2e-060c-46ab-a2fc-515efcc9848e · outbound

This paper cites International Conference on Learning Representations , volume=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD International Conference on Learning Representations , volume=

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:45.744353Z

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Observation e3addb22-6af7-47c0-8aa4-da72e40bf2aa · outbound

This paper cites International Conference on Learning Representations , volume=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD International Conference on Learning Representations , volume=

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:45.952338Z

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Observation af92d206-c799-4da7-9524-5552aff8346c · outbound

This paper cites arXiv e-prints , pages=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD arXiv e-prints , pages=

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:46.143917Z

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Observation 1fa4eb63-ea05-4dad-81e5-2ffa56454117 · outbound

This paper cites Proceedings of the International Conference on Learning Representations (ICLR) , year=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Proceedings of the International Conference on Learning Representations (ICLR) , year=

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:46.334512Z

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Observation 98c645b8-5d39-4ee5-bc5a-29126cc293e7 · outbound

This paper cites an unresolved cited work.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Unresolved cited work

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:46.503777Z

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Observation 8e600000-dad5-44ec-94a1-90b2dd47866e · outbound

This paper cites CMMLU : Measuring massive multitask language understanding in C hinese.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD CMMLU : Measuring massive multitask language understanding in C hinese

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:46.724457Z

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Observation 462999da-7234-4ce3-baf2-cb147238f77f · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Training Verifiers to Solve Math Word Problems

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:46.854625Z

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Observation d9ae0598-52fa-4e3f-89e3-7e26bc30dbaf · outbound

This paper cites 2021 , eprint=.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD 2021 , eprint=

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:46.984968Z

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Observation 10fc9f2f-4c12-42de-a634-3b4f1154a4aa · outbound

This paper cites an unresolved cited work.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Unresolved cited work

Reference 101

Resolution: parse uncertain; no resolver link, observed 2026-08-01T10:42:47.058369Z

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Pith citing papers