How Should I Build A Benchmark? Revisiting Code-Related Benchmarks For LLMs.
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CoRR, January, 2025
Hybrid Physics-Based and Data-Driven Modeling of LED Dynamic Response Under Thermal and Electrical Effects.
IEEE Trans. Instrum. Meas., 2025
Towards Biologically Plausible Computing: A Comprehensive Comparison.
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CoRR, 2024
Decoding Continuous Character-based Language from Non-invasive Brain Recordings.
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CoRR, 2024
Design and Implementation of Optical Fiber-based Visible Light Communication System.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Advancing Parameter Efficiency in Fine-tuning via Representation Editing.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Aligning Large Language Models with Human Preferences through Representation Engineering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
SpikeBERT: A Language Spikformer Trained with Two-Stage Knowledge Distillation from BERT.
CoRR, 2023
A Novel Differential Phase of Arrival-based Experimental Visible Light Positioning System.
Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023
Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023