Jiasheng Ye

According to our database1, Jiasheng Ye authored at least 12 papers between 2021 and 2026.

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Timeline

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Bibliography

2026
Towards A Generative Protein Evolution Machine with DPLM-Evo.
CoRR, May, 2026

2025
InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling.
CoRR, August, 2025

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use.
CoRR, August, 2025

Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
DetectiveQA: Evaluating Long-Context Reasoning on Detective Novels.
CoRR, 2024

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

LLM can Achieve Self-Regulation via Hyperparameter Aware Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning.
CoRR, 2023

DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises.
CoRR, 2023

2021
Energy-based Unknown Intent Detection with Data Manipulation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021


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